Friday, September 26, 2008

Mannargudi


Mannargudi (also spelt Mannarkudi) is a municipality in Thiruvarur district (formerly part of Thanjavur district) in the Indian state of Tamil Nadu. It is also known as Raja Mannargudi or Mannai. Mannargudi can be reached by road from Thanjavur, Kumbakonam and Pattukkottai which are situated around 40 km from the place. The nearest railway station is 12 km away at Needamangalam.

Geography

Mannargudi is located at 10.67° N 79.43° E.[2] It has an average elevation of 6 metres (19 feet).
Economy

Being an agricultural town, Mannargudi's economy largely depends on the income from agriculture. The crops cultivated include rice, cotton, sugarcane, and pulses like urad and mung bean. The agriculture around this area mainly depends on the rivers Koraiyaru, Mullaiyar, Pamaniyar. Other sources of irrigation are bore-wells. There are no big industries around this town except for a Sugarcane Factory. Another working fertilizer industry is Pamani Fertilizers.
Mannargudi town has the largest coal reserve in Asia. The total quantity of lignite reserves in Mannargudi, Tamilnadu identified is around 19,500 million tonnes.[3] The quality of the lignite is moisture 40 to 50 per cent, ash 4 to 12 per cent, volatile matter 18 to 23 per cent, fixed carbon 17 to 20 per cent, calorific value 2200 to 3200 k.cal./kg. Exploration in the area has not yet started. The reserves were located under built up and agricultural areas making exploitation difficult. Steps are being taken to accelerate exploration and identify blocks which can be exploited in Mannargudi.



Temples

The most famous landmark in Mannargudi is the thousand year old Hindu Temple Sri Rajagopala Swami Temple.This was built by Raja Cholas at 1000 A.D. A festival called Panguni Tiruvizha is celebrated every year during the Tamil month of Panguni (March/April) in the Sri Rajagopala Swami Temple. In this year (2008), "Vennai-thaazhi" on April 9th, and 'Chariot'(Thiruther) festival occurs on 10th April. These are very important days of "Panguni Utsavam". People around the town gather in great numbers to celebrate this grand event. There is also Ani thirumanjanam held in Ani month (June- July).
Other temples of importance in and around this town are Kaliamman temple Neduvakkottai, Kailasanathar temple (Siva), Meenakshi Amman Temple, Othaistreet Ananda Vinayagar Temple and Sri Ramar Temple (at Vaduvoor). Alangudi (Guru sthalam - one of the Navagraha Stalam ) Temple is about twenty three kilometers, enroute to Kumbakonam. Railroad connection from Needamangalam were dismantled two decades ago and hence no trains ply this route these days.
Demographics

As of 2001 India census,[4] Mannargudi had a population of 61,588. Males constitute 50% of the population and females 50%. Mannargudi has an average literacy rate of 79%, higher than the national average of 59.5%: male literacy is 84%, and female literacy is 74%. In Mannargudi, 9% of the population is under 6 years of age.
Mannargudi town is a mixture of Hindu, Muslims and Chritians, Hindu religion mainly comprises community subgroups of Dhevendrar, Thevar, Kallar, Vanniar, Sozhiya, Vellalar, Mudaliar and also Nadars. The town's main bazaar is run by Nadars and Muslims, mainly dealing with consumer durable businesses, the shops and establishments ctar to nearby village requirements. and vettikadu village very famous educated people.
Education

Rajagopala Swamy Arts and Science College, ARJ engineering college, STET women's college are some colleges at Mannargudi where students from nearby towns are studying. Apart from these, there is a government arts college ctaring to the educational needs of the people. Mannargudi has a number of primary, high and higher secondary schools. These include National Higher Secondary School, Findlay Higher Secondary School, St. Joseph higher secondary school (women's only), Govt higher sec.school Paravakkottai, :GOVT HIGHER SECONDARY SCHOOL MAHADEVAPATTINAM: Thirvalluvar Higher Sc. School, Alangottai, Subhash chandra Bose Matric school,Navabarath Matriculation Hr. Sec. School, Ullikottai, Navabarath Nursery & Primary School, Ullikottai, Nehru Indra Nursery & Primary School, Marakkadai, Lakshmangudi and Kalaivani Nursery and Primary School, Kottur, Manargudi Taluk.Mahasoomiya Nursery & Primary School - Budamangalam.

Friday, June 13, 2008

Address of Some biological Research institutes

Address of Some biological Research institutes

1. Institute of Life Sciences,Nalco Square, Chandrasekharpur,Bhubaneswar-751 023
Phone: 91-0674-2301900, 2300137, 2301460, 2301476, 2300129
Fax: (0674) 2300728,Email : bbmishra@ils.res.in

2. Agharkar Research Institute, Gopal Ganesh Agarkar Road,Pune – 411004,Maharashtra, India.
Phones : +91-20-25654357, +91-20-25653680,Fax : +91-020-25651542,
E-mail : director@aripune.org ,URL : www.aripune.org,Applications : jobs@aripune.org

3.Bhabha Atomic Research Centre,Trombay,Mumbai - 400 085,INDIA
Tel:+91-22-25505050 / 25505010 ,Fax:+91-22-25505151 / 25519613
webmaster@barc.gov.in

4. Center for DNA Fingerprinting and Diagnostics [CDFD] ,ECIL Road, Nacharam ,Hyderabad-500 076, INDIA
Tel:+91-40-27151344 ,Fax:+91-40-27155610

5.Director, IGCAR,dir@igcar.gov.in,Phone: 044-27480240,Office of Director, IGCAR
dirsec@igcar.gov.in,hone: 044-27480267,Fax: 044-27480060

6. INSTITUTE OF BIORESOURCES AND SUSTAINABLE DEVELOPMENT( IBSD)
(an autonomous institute under Deptartment of Biotechnology, Ministry of Science & Technology, Govt. of India),TAKYELPAT, IMPHAL, MANIPUR- 795001 (INDIA)
PHONE: 91-385-2446121/ 2446122, FAX: 91-385-2446120
E-MAIL : ibsd_imp@sancharnet.in

7. Institute of Genomics and Integrative Biology,Near Jubilee Hall, Mall Road, Delhi-110 007
Ph. No. 91-011-27666156/157, 27667602, 27667439
Fax:91-011-27667471

8. National Centre for Biological Sciences,Tata Institute of Fundamental Research
GKVK, Bellary Road,Bangalore 560065, India,Phone: 91 80 23636421/ 429
Fax: 91 80 23636662.

9. National Centre for Cell Sciences (NCCS) ,NCCS Complex, University of Pune Campus, Ganeshkhind, Pune 411007, Maharashtra, India ,Phone: +91-20-25708000 ,Fax:+91-20-25692259

10. National Institute for Plant Genome Research,Aruna Asaf Ali Marg, P.O. Box No. 10531
New Delhi - 110 067 ,Email : administration@nipgr.res.in , nipgr@nipgr.res.in
Ph. No. : 91-11-30942824, 26735169
91-11-26741612, 14, 17 Ext. 143
Direct - 91-11-26735143, Fax: 91-11-26741658

Some Biotech Companies in India

Biotech Companies in India
Strand Genomics - Bioinformatics software design and development
Ocimum BioSolutions - Bioinformatics software modules and training
Manvish Infotech - Specializes in embedded systems, bioinformatics and content development
BrainWave - Contract based research in bioinformatics and genome studies
Bioinformatics Institute of India - Non-profit research and development centre
Bigtec - Bioinformatics and medical informatics research
Avestha Gengraine - Bioinformatics research and development
AUKBC - Research in communications, networking, mathematics and bioinformatics
Center for DNA Fingerprinting & Diagnostics - DNA, fingerprinting, molecular diagnostics & bioinformatics
Bioinformatics Centre, Madurai Kamaraj University - Research in genetic engineering, molecular biology and biophysics
Bioinformatics Center - Biotechnolgy related information provider
A.V.Thomas Biotechnolgy - Commercial plant tissue culture laboratory
Amersham Biosciences - Focuses on disease research, and drug development
AstraZeneca - Research on infectious diseases and drugs
Avestha Gengraine - Bioinformatics research and development
Bangalore Bio - Resource on biotech companies, institutes and policies
Bangalore Genei - Manufacturer of reagents and equipment for DNA research
Bigtec - Bioinformatics and medical informatics research
Bio-Instruments - Distributor of biotechnology and agri-research instruments
BioSoft - Application of biotechnology in acqaculture management
Biotech India - Molecular biology, immunology and cell biology research products
Biotech Support Services - Resource on biotechnology industry & services
Biotron Healthcare - Supplier of biotechnology instruments
Esscee Biotech - Synthetic DNA and RNA manufacturer
Genotypic Technologies - Nucleic acids and cDNA library construction services
Greenearth Biotechnologies - Tissue culture research and plants supplier
Growmore Biotech - Commercial plant tissue culture
Harrisons Malayalam - Plant tissue culture

Saturday, June 7, 2008

Penicillin

Penicillin

Penicillin (sometimes abbreviated PCN) is a group of beta-lactam antibiotics used in the treatment of bacterial infections caused by susceptible, usually Gram-positive, organisms. “Penicillin” is also the informal name of a specific member of the penicillin group Penam Skeleton, which has the molecular formula R-C9H11N2O4S, where R is a variable side chain.
The discovery of penicillin is usually attributed to Scottish scientist Sir Alexander Fleming in 1928 and the development of penicillin for use as a medicine is attributed to the Australian Nobel Laureate Howard Walter Florey.
However, several others had earlier noted the antibacterial effects of Penicillium such as Ernest Duchesne, who documented it in his 1897 paper; however it was not accepted by the Institut Pasteur because of his young age. Furthermore, in March 2000, doctors of the San Juan de Dios Hospital in San Jose (Costa Rica) published manuscripts belonging to the Costa Rican scientist and medical doctor Clodomiro (Clorito) Picado Twight (1887-1944). The manuscripts explained Picado's experiences between 1915 and 1927 about the inhibitory actions of the fungi of genera Penic. Clorito Picado had reported his discovery to the Paris Academy of Sciences in Paris, yet did not patent it, even though his investigation had started years before Fleming's.
Fleming recounted later that the date of his breakthrough was on the morning of Tuesday, September 28, 1928. At his laboratory in the basement of St. Mary's Hospital (Imperial College) in London, noticed a halo of inhibition of bacterial growth around a contaminant blue-green mould Staphylococcus plate culture. Fleming concluded that the mould was releasing a substance that was inhibiting bacterial growth and lysing the bacteria. He grew a pure culture of the mould and discovered that it was a Penicillium mould, now known to be Penicillium notatum. Charles Thom, an American specialist working at the U.S. Department of Agriculture, was the acknowledged expert, and Fleming referred the matter to him. Fleming coined the term "penicillin" to describe the filtrate of a broth culture of the Penicillium mould. Even in these early stages, penicillin was found to be most effective against Gram-positive bacteria, and ineffective against Gram-negative organisms and fungi. He expressed initial optimism that penicillin would be a useful disinfectant, being highly potent with minimal toxicity compared to antiseptics of the day, but, in particular, noted its laboratory value in the isolation of "Bacillus influenzae" (now Haemophilus influenzae). After further experiments, Fleming was convinced that penicillin could not last long enough in the human body to kill pathogenic bacteria, and stopped studying penicillin after 1931, but restarted some clinical trials in 1934 and continued to try to get someone to purify it until 1940.
In 1939, Astralian scientist Howard Florey, Baron Florey and a team of researchers (Ernst Boris Chain, A. D. Gardner, Norman Heatley, M. Jennings, J. Orr-Ewing and G. Sanders) at the Sir William Dunn School of Pathology, University of Oxford made significant progress in showing the in vivo bactericidal action of penicillin. Their attempts to treat humans failed due to insufficient volumes of penicillin (the first patient treated was Reserve Constable Albert Alexander), but they proved its harmlessness and effect on mice.[4]
A moldy cantaloupe in a Peoria market in 1941 was found to contain the best and highest-quality penicillin after a world-wide search.[5]
Some of the pioneering trials of penicillin took place at the Radcliffe Infirmary in Oxford. On 1942-03-14, John Bumstead and Orvan Hess became the first in the world to successfully treat a patient using penicillin.[6][7]


Penicillin was being mass-produced in 1944
During World War II, penicillin made a major difference in the number of deaths and amputations caused by infected wounds among Allied forces, saving an estimated 12%-15% of lives. Availability was severely limited, however, by the difficulty of manufacturing large quantities of penicillin and by the rapid renal clearance of the drug, necessitating frequent dosing. Penicillins are actively secreted, and about 80% of a penicillin dose is cleared within three to four hours of administration. During those times, it became common procedure to collect the urine from patients being treated so that the penicillin could be isolated and reused.[8]
This was not a satisfactory solution, however; so researchers looked for a way to slow penicillin secretion. They hoped to find a molecule that could compete with penicillin for the organic acid transporter responsible for secretion such that the transporter would preferentially secrete the competitive inhibitor. The uricosuric agent probenecid proved to be suitable. When probenecid and penicillin are concomitantly administered, probenecid competitively inhibits the secretion of penicillin, increasing its concentration and prolonging its activity. The advent of mass-production techniques and semi-synthetic penicillins solved supply issues, and this use of probenecid declined.[8] Probenecid is still useful, however, for certain infections requiring particularly high concentrations of penicillins.[9]
The chemical structure of penicillin was determined by Dorothy Crowfoot Hodgkin in the early 1940s. A team of Oxford research scientists led by Australian Howard Florey, Baron Florey and including Ernst Boris Chain and Norman Heatley discovered a method of mass-producing the drug. Chemist John Sheehan at MIT completed the first total synthesis of penicillin and some of its analogs in the early 1950s, but his methods were not efficient for mass production. Florey and Chain shared the 1945 Nobel prize in medicine with Fleming for this work, and, after WWII, Australia was the first country to make the drug available for civilian use. Penicillin has since become the most widely-used antibiotic to date, and is still used for many Gram-positive bacterial infections.
Developments from penicillin
The narrow spectrum of activity of the penicillins, along with the poor activity of the orally-active phenoxymethylpenicillin, led to the search for derivatives of penicillin that could treat a wider range of infections.
The first major development was ampicillin, which offered a broader spectrum of activity than either of the original penicillins. Further development yielded beta-lactamase-resistant penicillins including flucloxacillin, dicloxacillin and methicillin. These were significant for their activity against beta-lactamase-producing bacteria species, but are ineffective against the methicillin-resistant Staphylococcus aureus strains that subsequently emerged.
The line of true penicillins was the antipseudomonal penicillins, such as ticarcillin and piperacillin, useful for their activity against Gram-negative bacteria. However, the usefulness of the beta-lactam ring was such that related antibiotics, including the mecillinams, the carbapenems and, most important, the cephalosporins, have this at the center of their structures.[10]
Mechanism of action
Main article: beta-lactam antibiotic
β-lactam antibiotics work by inhibiting the formation of peptidoglycan cross-links in the bacterial cell wall. The β-lactam moiety (functional group) of penicillin binds to the enzyme (DD-transpeptidase) that links the peptidoglycan molecules in bacteria, which weakens the cell wall of the bacterium (in other words, the antibiotic causes cytolysis or death due to osmotic pressure). In addition, the build-up of peptidoglycan precursors triggers the activation of bacterial cell wall hydrolases and auto lysins, which further digest the bacteria's existing peptidoglycan.
Gram-positive bacteria are called protoplasts when they lose their cell wall. Gram-negative bacteria do not lose their cell wall completely and are called spheroplasts after treatment with penicillin.
Penicillin shows a synergistic effect with aminoglycosides, since the inhibition of peptidoglycan synthesis allows aminoglycosides to penetrate the bacterial cell wall more easily, allowing its disruption of bacterial protein synthesis within the cell. This results in a lowered MBC for susceptible organisms.
Variants in clinical use
The term “penicillin” is often used in the generic sense to refer to one of the narrow-spectrum penicillins, in particular, benzylpenicillin.
Benzathine benzylpenicillin
Benzathine benzylpenicillin (rINN), also known as benzathine penicillin, is slowly absorbed into the circulation, after intramuscular injection, and hydrolysed to benzylpenicillin in vivo. It is the drug-of-choice when prolonged low concentrations of benzylpenicillin are required and appropriate, allowing prolonged antibiotic action over 2–4 weeks after a single IM dose. It is marketed by Wyeth under the trade name Bicillin L-A.
Specific indications for benzathine pencillin include:[9]
Prophylaxis of rheumatic fever
Early or latent syphilis
Benzylpenicillin (penicillin G)

Penicillin G
Systematic (IUPAC) name

4-Thia-1-azabicyclo(3.2.0)heptane-2-carboxylic acid, 3,3-dimethyl-7-oxo-6-((phenylacetyl)amino)- (2S-(2α,5α,6β))-
Identifiers
Chemical data
Formula
C16H18N2O4S

Mol. mass
334.4 g/mol


Benzylpenicillin, commonly known as penicillin G, is the gold standard penicillin. Penicillin G is typically given by a parenteral route of administration (not orally) because it is unstable in the hydrochloric acid of the stomach. Because the drug is given parenterally, higher tissue concentrations of penicillin G can be achieved than is possible with phenoxymethylpenicillin. These higher concentrations translate to increased antibacterial activity.
Specific indications for benzylpenicillin include:[9]
Cellulitis
Bacterial endocarditis
Gonorrhea
Meningitis
aspiration pneumonia, lung abscess
Community-acquired pneumonia
Syphilis
Septicaemia in children
Phenoxymethylpenicillin (penicillin V)
Phenoxymethylpenicillin, commonly known as penicillin V, is the orally-active form of penicillin. It is less active than benzylpenicillin, however, and is appropriate only in conditions where high tissue concentrations are not required.
Specific indications for phenoxymethylpenicillin include:[9]
Infections caused by Streptococcus pyogenes
Tonsillitis
Pharyngitis
Skin infections
Prophylaxis of rheumatic fever
Moderate-to-severe gingivitis (with metronidazole)
Penicillin V is the first choice in the treatment of odontogenic infections.
Procaine benzylpenicillin
Procaine benzylpenicillin (rINN), also known as procaine penicillin, is a combination of benzylpenicillin with the local anaesthetic agent procaine. Following deep intramuscular injection, it is slowly absorbed into the circulation and hydrolysed to benzylpenicillin — thus it is used where prolonged low concentrations of benzylpenicillin are required.
This combination is aimed at reducing the pain and discomfort associated with a large intramuscular injection of penicillin. It is widely used in veterinary settings.
It should be noted that in the United States, Bicillin C-R (a injectable suspension which 1.2 million units of benzathine penicillin & 1.2 million units of procaine penicillin per 4 mL) is not recommended for treating syphilis, since it contains only half the recommended dose of benzathine penicillin. Medication errors have been made due to the confusion between Bicillin L-A & Bicillin C-R.[11] As a result, changes in product packaging have been made; specifically, the statement "Not for the Treatment of Syphilis" has been added in red text to both the Bicillin CR and Billin CR 900/300 syringe labels.[12]
Respiratory tract infections where compliance with oral treatment is unlikely
Cellulitis, erysipelas
Procaine penicillin is also used as an adjunct in the treatment of anthrax.
Semi-synthetic penicillins
Structural modifications were made to the side chain of the penicillin nucleus in an effort to improve oral bioavailability, improve stability to beta-lactamase activity, and increase the spectrum of action.
Narrow spectrum penicillinase-resistant penicillins
This group was developed to be effective against beta-lactamases produced by Staphylococcus aureus, and are occasionally known as anti-staphylococcal penicillin. Penicillin is rampantly used for curing infections and to prevent growth of harmful mold.
Methicillin discontinued (not used clinically)
Dicloxacillin
Flucloxacillin
Oxacillin
Nafcillin
Cloxacillin
Narrow spectrum β-lactamase-resistant penicillins
This molecule has a spectrum directed toward Gram-negative bacteria without activity on Pseudomonas aeruginosa or Acinetobacter spp. with remarkable resistance to any type of β-lactamase.
Temocillin
Moderate spectrum penicillins
This group was developed to increase the spectrum of action and, in the case of amoxicillin, improve oral bioavailability.
Amoxicillin
Ampicillin
And the prodrugs of ampicillin that are converted in the body to ampicillin:
Hetacillin, not used now.
Bacampicillin
Pivampicillin
Extended Spectrum Penicillins
This group was developed to increase efficacy against Gram-negative organisms. Some members of this group also display activity against Pseudomonas aeruginosa. These are divided into carboxypencillins and ureidopenicillins.
Carboxypencillins
Carbenicillin
Ticarcillin
Ureidopenicillins
Mezlocillin
Piperacillin
Azlocillin
Penicillins with beta-lactamase inhibitors
Penicillins may be combined with beta-lactamase inhibitors to increase efficacy against β-lactamase-producing organisms. The addition of the beta-lactamase inhibitor does not, in general, in itself, increase the spectrum of the partner penicillin.
Amoxicillin/clavulanic acid
Ampicillin/sulbactam
Ticarcillin/clavulanic acid
Piperacillin/tazobactam
Other Penicillins
Metampicillin
Broadcillin
Epicillin
Ampicillin benzathine
Talampicillin
Combipenix
Ampicillinoic acid
N-(N'-Methylasparaginyl)amoxicillin
Aspoxicillin
N-Propionylampicillin
Lenampicillin
Sulacillin
Adverse effects
Adverse drug reactions
Common adverse drug reactions (≥1% of patients) associated with use of the penicillins include diarrhea, nausea, rash, urticaria, and/or superinfection (including candidiasis). Infrequent adverse effects (0.1–1% of patients) include fever, vomiting, erythema, dermatitis, angioedema, seizures (especially in epileptics), and/or pseudomembranous colitis.[9]
Pain and inflammation at the injection site is also common for parenterally-administered benzathine benzylpenicillin, benzylpenicillin, and, to a lesser extent, procaine benzylpenicillin.
Allergy/hypersensitivity
Although penicillin is still the most commonly-reported allergy, less than 20% of all patients that believe that they have a penicillin allergy are truly allergic to penicillin;[13] nevertheless, penicillin is still the most common cause of severe allergic drug reactions.
Allergic reactions to any β-lactam antibiotic may occur in up to 10% of patients receiving that agent.[14] Anaphylaxis will occur in approximately 0.01% of patients.[9] It has previously been accepted that there was up to a 10% cross-sensitivity between penicillin-derivatives, cephalosporins, and carbapenems, due to the sharing of the β-lactam ring.[15][16] However recent assessments have shown no increased risk for cross-allergy for 2nd generation or later cephalosporins. Recent papers have shown that major feature in determining immunological reactions is the similarity of the side chain of first generation cephalosporins to penicillins, rather than the β-lactam structure that they share.
Penicillin Production
The production of penicillin is an area that requires scientists and engineers to work together to achieve the most efficient way of producing large amounts of penicillin.
It must be understood that penicillin is a secondary metabolite of fungus Penicillium, which means the fungus will not produce the antibiotics while it is growing, but will produce penicillin when it feels threatened. There are also other factors that inhibit penicillin production. One of these factors is the synthesis pathway of penicillin:
α-ketoglutarate + AcCoA -> homocitrate -> L-α-aminoadipic acid -> L-Lysine + β-lactam
It turns out that the by-product L-Lysine will inhibit the production of homocitrate, so the presence of exogenous lysine should be avoided in the penicillin production.
The penicillium cells are grown using a technique called fed-batch culture; this way the cells are constantly subject to stress and will produce plenty of penicillin. The carbon sources that are available are also important: Glucose will inhibit penicillin, whereas lactose does not. The pH level, nitrogen level, Lysine level, Phosphate level, and oxygen availability of the batches must be controlled automatically.
Other area of biotechnology such as directed evolution can also be applied to mutate the strains into producing a much larger number of penicillin. These directed-evolution techniques include error-prone PCR, DNA shuffling, ITCHY, and strand over-lap PCR.
References
1. ^ Kendall F. Haven, Marvels of Science (Libraries Unlimited, 1994) p182
2. ^ Fleming A. (1929). "On the antibacterial action of cultures of a penicillium, with special reference to their use in the isolation of B. influenzæ.". Br J Exp Pathol 10 (31): 226–36.
3. ^ Brown, Kevin. (2004). Penicillin Man: Alexander Fleming and the Antibiotic Revolution.. Stroud: Sutton. ISBN 0-7509-3152-3.
4. ^ Drews, Jürgen (March 2000). "Drug Discovery: A Historical Perspective". Science 287 (5460): 1960 - 1964. Retrieved on 2007-11-17.
5. ^ Mary Bellis. The History of Penicillin. Inventors. About.com. Retrieved on 2007-10-30.
6. ^ Saxon, W.. "Anne Miller, 90, first patient who was saved by penicillin", The New York Times, 1999-06-09.
7. ^ Krauss K, editor (1999). Yale-New Haven Hospital Annual Report (PDF). Yale-New Haven Hospital.
8. ^ a b Silverthorn, DU. (2004). Human physiology: an integrated approach.. Upper Saddle River (NJ): Pearson Education. ISBN 0-8053-5957-5.
9. ^ a b c d e f g (2006) in Rossi S, editor: Australian Medicines Handbook. Adelaide: Australian Medicines Handbook. ISBN 0-9757919-2-3.
10. ^ James, PharmD, Christopher W.; Cheryle Gurk-Turner, RPh (January 2001). "Cross-reactivity of beta-lactam antibiotics". Baylor University Medical Center Proceedings 14 (1): 106-107. Dallas, Texas: Baylor University Medical Center. Retrieved on 2007-11-17.
11. ^ (2005) "Inadvertent use of Bicillin C-R to treat syphilis infection--Los Angeles, California, 1999-2004". MMWR Morb. Mortal. Wkly. Rep. 54 (9): 217-9. PMID 15758893.
12. ^ United States Food & Drug Administration. "FDA Strengthens Labels of Two Specific Types of Antibiotics to Ensure Proper Use." Published December 1, 2004. Last accessed June 18, 2007.
13. ^ Salkind AR, Cuddy PG, Foxworth JW (2001). "Is this patient allergic to penicillin? An evidence-based analysis of the likelihood of penicillin allergy". JAMA 285 (19): 2498–2505.
14. ^ Solensky R (2003). "Hypersensitivity reactions to beta-lactam antibiotics". Clinical reviews in allergy & immunology 24 (3): 201–20. PMID 12721392.
15. ^ Dash CH (1975). "Penicillin allergy and the cephalosporins". J. Antimicrob. Chemother. 1 (3 Suppl): 107–18. PMID 1201975.
16. ^ Gruchalla RS, Pirmohamed M (2006). "Clinical practice. Antibiotic allergy". N. Engl. J. Med. 354 (6): 601-9. doi:10.1056/NEJMcp043986. PMID 16467547.
17. ^ Pichichero ME (2006). "Cephalosporins can be prescribed safely for penicillin-allergic patients" (PDF). The Journal of family practice 55 (2): 106–12. PMID 16451776.
18. ^ Pichichero ME (2007). "Use of selected cephalosporins in penicillin-allergic patients: a paradigm shift". Diagn. Microbiol. Infect. Dis. 57 (3 Suppl): 13S–18S. doi:10.1016/j.diagmicrobio.2006.12.004. PMID 17349459.
19. ^ Antunez C, Blanca-Lopez N, Torres MJ, et al (2006). "Immediate allergic reactions to cephalosporins: evaluation of cross-reactivity with a panel of penicillins and cephalosporins". J. Allergy Clin. Immunol. 117 (2): 404–10. doi:10.1016/j.jaci.2005.10.032. PMID 16461141.

Children : Just For Relax

திரு . அப்துல் கலாம்

Dr.Abdul Kalam.A.P.J.

Dr. Avul Pakir Jainulabhudin Adbul Kalam, the twelfth President of India, is rightfully termed as the father of India's missile technology. He was born to parents
Jainulabdeen Marakayar and Ashiamma on 15th October,1931, at Dhanushkodi in Rameshwaram district, TamilNadu. Dr. Kalam as an eminent Aeronautical Engineer,
contributed for the development of India’s first Satellite launch vehicle SLV-3 and the missiles like the Trishul, Agni, Pritvi etc.
He did his secondary education at Schwartz High School in Ramanathapuram, B.Sc. at St. Joseph's College(1950),Tiruchi, and DMIT in Aeronautical Engineering at the
MIT, Madras during 1954-57. After passing out as a graduate aeronautical engineer, Kalam joined Hindustan Aeronautics Limited (HAL), Bangalore as a trainee and
later joined as a technical assistant in the Directorate of Technical Development and
Production of the Ministry of Defence.
In the 1960's Kalam joined the Vikram Sarabhai Space Centre at Thumba in
Kerala. He played a major role in the centre's evolution to a key hub of space researchin India, helping to develop the country's first indigenous satellite-launch vehicle.
During 1963-82, he served the ISRO in various capacities. In 1982, he rejoined
DRDO as Director, and conceived the Integrated Guided Missile Development
Programme (IGMDP) for five indigenous missiles. Dr. A.P.J. Abdul Kalam has
established an Advanced Technology Research Centre, called 'Research Centre
Imarat' to undertake development in futuristic missile technology areas. He also
served as the Principal Scientific Adviser to the Defence minister and later the
Government of India. After retiring from the post Dr. Kalam joined Annamalai
University till he became the President in January 2002.
He is a member of Indian National Academy of Sciences, Astronautical Society of
India and many other professional bodies. Dr. APJ abdul Kalam has been awarded
Padma Bhushan in 1981, Padma Vibhushan in 1990 and India's Highest civilian
Award 'The Bharat Ratna' in 1997. Other prestigious awards include Dr.Biren Roy
Space Award, Om Prakash Basin Award for Science and Technology, National Nehru
Award, Arya Bhatta Award etc. Dr. Kalam was conferred with the degree of Doctor
of Science (D.Sc. Honoris-causa) by twenty eight universities.
Dr. Kalam, a bachelor is a connoisseur of classical Carnatic music. He plays veena in
his leisure. He writes poetry in Tamil, his mother tongue. Seventeen of his poems
were translated into English and published in 1994 as a book entitled 'My Journey'.
He reads the Quran and the Bhagavad Gita with equal devotion. He is also the Author
of the books 'India 2020 : A vision for the New Millennium'(1998 with YS Rajan),
'Wings of Fire : an Autobiography' and 'Ignited Minds – unleashing the power within
India'.
Totally dedicated to the nation, Dr. Abdul Kalam's vision is to transform India into a developed nation by the year 2020 through hard work and perseverance. He holds a
first world dream for the third world nation.

Friday, May 30, 2008

Bioinformatics

Bioinformatics and computational biology involve the use of techniques including applied mathematics, informatics, statistics, computer science, artificial intelligence, chemistry, and biochemistry to solve biological problems usually on the molecular level. Research in computational biology often overlaps with systems biology. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution.
Introduction
The terms bioinformatics and computational biology are often used interchangeably. However bioinformatics more properly refers to the creation and advancement of algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the management and analysis of biological data. Computational biology, on the other hand, refers to hypothesis-driven investigation of a specific biological problem using computers, carried out with experimental or simulated data, with the primary goal of discovery and the advancement of biological knowledge. Put more simply, bioinformatics is concerned with the information while computational biology is concerned with the hypotheses. A similar distinction is made by
National Institutes of Health in their working definitions of Bioinformatics and Computational Biology, where it is further emphasized that there is a tight coupling of developments and knowledge between the more hypothesis-driven research in computational biology and technique-driven research in bioinformatics. Bioinformatics is also often specified as an applied subfield of the more general discipline of Biomedical informatics.
A common thread in projects in bioinformatics and computational biology is the use of mathematical tools to extract useful information from data produced by high-throughput biological techniques such as
genome sequencing. A representative problem in bioinformatics is the assembly of high-quality genome sequences from fragmentary "shotgun" DNA sequencing. Other common problems include the study of gene regulation to perform expression profiling using data from microarrays or mass spectrometry.
Major research areas
Sequence analysis
Main articles:
Sequence alignment and Sequence database
Since the Phage Φ-X174 was sequenced in 1977, the DNA sequences of hundreds of organisms have been decoded and stored in databases. The information is analyzed to determine genes that encode polypeptides, as well as regulatory sequences. A comparison of genes within a species or between different species can show similarities between protein functions, or relations between species (the use of molecular systematics to construct phylogenetic trees). With the growing amount of data, it long ago became impractical to analyze DNA sequences manually. Today, computer programs are used to search the genome of thousands of organisms, containing billions of nucleotides. These programs would compensate for mutations (exchanged, deleted or inserted bases) in the DNA sequence, in order to identify sequences that are related, but not identical. A variant of this sequence alignment is used in the sequencing process itself. The so-called shotgun sequencing technique (which was used, for example, by The Institute for Genomic Research to sequence the first bacterial genome, Haemophilus influenzae) does not give a sequential list of nucleotides, but instead the sequences of thousands of small DNA fragments (each about 600-800 nucleotides long). The ends of these fragments overlap and, when aligned in the right way, make up the complete genome. Shotgun sequencing yields sequence data quickly, but the task of assembling the fragments can be quite complicated for larger genomes. In the case of the Human Genome Project, it took several months of CPU time (on a circa-2000 vintage DEC Alpha computer) to assemble the fragments. Shotgun sequencing is the method of choice for virtually all genomes sequenced today, and genome assembly algorithms are a critical area of bioinformatics research.
Another aspect of bioinformatics in sequence analysis is the automatic
search for genes and regulatory sequences within a genome. Not all of the nucleotides within a genome are genes. Within the genome of higher organisms, large parts of the DNA do not serve any obvious purpose. This so-called junk DNA may, however, contain unrecognized functional elements. Bioinformatics helps to bridge the gap between genome and proteome projects--for example, in the use of DNA sequences for protein identification.
Genome annotation
Main article:
Gene finding
In the context of genomics, annotation is the process of marking the genes and other biological features in a DNA sequence. The first genome annotation software system was designed in 1995 by Dr. Owen White, who was part of the team that sequenced and analyzed the first genome of a free-living organism to be decoded, the bacterium Haemophilus influenzae. Dr. White built a software system to find the genes (places in the DNA sequence that encode a protein), the transfer RNA, and other features, and to make initial assignments of function to those genes. Most current genome annotation systems work similarly, but the programs available for analysis of genomic DNA are constantly changing and improving.
Computational evolutionary biology
Evolutionary biology is the study of the origin and descent of species, as well as their change over time. Informatics has assisted evolutionary biologists in several key ways; it has enabled researchers to:
· trace the evolution of a large number of organisms by measuring changes in their
DNA, rather than through physical taxonomy or physiological observations alone,
· more recently, compare entire
genomes, which permits the study of more complex evolutionary events, such as gene duplication, lateral gene transfer, and the prediction of factors important in bacterial speciation,
· build complex computational models of populations to predict the outcome of the system over time
· track and share information on an increasingly large number of species and organisms
Future work endeavours to reconstruct the now more complex
tree of life.
The area of research within
computer science that uses genetic algorithms is sometimes confused with computational evolutionary biology, but the two areas are unrelated.
Measuring biodiversity
Biodiversity of an ecosystem might be defined as the total genomic complement of a particular environment, from all of the species present, whether it is a biofilm in an abandoned mine, a drop of sea water, a scoop of soil, or the entire biosphere of the planet Earth. Databases are used to collect the species names, descriptions, distributions, genetic information, status and size of populations, habitat needs, and how each organism interacts with other species. Specialized software programs are used to find, visualize, and analyze the information, and most importantly, communicate it to other people. Computer simulations model such things as population dynamics, or calculate the cumulative genetic health of a breeding pool (in agriculture) or endangered population (in conservation). One very exciting potential of this field is that entire DNA sequences, or genomes of endangered species can be preserved, allowing the results of Nature's genetic experiment to be remembered in silico, and possibly reused in the future, even if that speed is eventually lost.
Analysis of gene expression
The
expression of many genes can be determined by measuring mRNA levels with multiple techniques including microarrays, expressed cDNA sequence tag (EST) sequencing, serial analysis of gene expression (SAGE) tag sequencing, massively parallel signature sequencing (MPSS), or various applications of multiplexed in-situ hybridization. All of these techniques are extremely noise-prone and/or subject to bias in the biological measurement, and a major research area in computational biology involves developing statistical tools to separate signal from noise in high-throughput gene expression studies. Such studies are often used to determine the genes implicated in a disorder: one might compare microarray data from cancerous epithelial cells to data from non-cancerous cells to determine the transcripts that are up-regulated and down-regulated in a particular population of cancer cells.
Analysis of regulation
Regulation is the complex orchestration of events starting with an extracellular signal such as a
hormone and leading to an increase or decrease in the activity of one or more proteins. Bioinformatics techniques have been applied to explore various steps in this process. For example, promoter analysis involves the identification and study of sequence motifs in the DNA surrounding the coding region of a gene. These motifs influence the extent to which that region is transcribed into mRNA. Expression data can be used to infer gene regulation: one might compare microarray data from a wide variety of states of an organism to form hypotheses about the genes involved in each state. In a single-cell organism, one might compare stages of the cell cycle, along with various stress conditions (heat shock, starvation, etc.). One can then apply clustering algorithms to that expression data to determine which genes are co-expressed. For example, the upstream regions (promoters) of co-expressed genes can be searched for over-represented regulatory elements.
Analysis of protein expression
Protein
microarrays and high throughput (HT) mass spectrometry (MS) can provide a snapshot of the proteins present in a biological sample. Bioinformatics is very much involved in making sense of protein microarray and HT MS data; the former approach faces similar problems as with microarrays targeted at mRNA, the latter involves the problem of matching large amounts of mass data against predicted masses from protein sequence databases, and the complicated statistical analysis of samples where multiple, but incomplete peptides from each protein are detected.
Analysis of mutations in cancer
In cancer, the genomes of affected cells are rearranged in complex or even unpredictable ways. Massive sequencing efforts are used to identify previously unknown
point mutations in a variety of genes in cancer. Bioinformaticians continue to produce specialized automated systems to manage the sheer volume of sequence data produced, and they create new algorithms and software to compare the sequencing results to the growing collection of human genome sequences and germline polymorphisms. New physical detection technology are employed, such as oligonucleotide microarrays to identify chromosomal gains and losses (called comparative genomic hybridization), and single nucleotide polymorphism arrays to detect known point mutations. These detection methods simultaneously measure several hundred thousand sites throughout the genome, and when used in high-throughput to measure thousands of samples, generate terabytes of data per experiment. Again the massive amounts and new types of data generate new opportunities for bioinformaticians. The data is often found to contain considerable variability, or noise, and thus Hidden Markov model and change-point analysis methods are being developed to infer real copy number changes.
Another type of data that requires novel informatics development is the analysis of lesions found to be recurrent among many tumors .
Prediction of protein structure
Main article:
Protein structure prediction
Protein structure prediction is another important application of bioinformatics. The amino acid sequence of a protein, the so-called primary structure, can be easily determined from the sequence on the gene that codes for it. In the vast majority of cases, this primary structure uniquely determines a structure in its native environment. (Of course, there are exceptions, such as the bovine spongiform encephalopathy - aka Mad Cow Disease - prion.) Knowledge of this structure is vital in understanding the function of the protein. For lack of better terms, structural information is usually classified as one of secondary, tertiary and quaternary structure. A viable general solution to such predictions remains an open problem. As of now, most efforts have been directed towards heuristics that work most of the time.
One of the key ideas in bioinformatics is the notion of
homology. In the genomic branch of bioinformatics, homology is used to predict the function of a gene: if the sequence of gene A, whose function is known, is homologous to the sequence of gene B, whose function is unknown, one could infer that B may share A's function. In the structural branch of bioinformatics, homology is used to determine which parts of a protein are important in structure formation and interaction with other proteins. In a technique called homology modeling, this information is used to predict the structure of a protein once the structure of a homologous protein is known. This currently remains the only way to predict protein structures reliably.
One example of this is the similar protein homology between hemoglobin in humans and the hemoglobin in legumes (
leghemoglobin). Both serve the same purpose of transporting oxygen in the organism. Though both of these proteins have completely different amino acid sequences, their protein structures are virtually identical, which reflects their near identical purposes.
Other techniques for predicting protein structure include protein threading and de novo (from scratch) physics-based modeling.
See also
structural motif and structural domain.
Comparative genomics
Main article:
Comparative genomics
The core of comparative genome analysis is the establishment of the correspondence between genes (orthology analysis) or other genomic features in different organisms. It is these intergenomic maps that make it possible to trace the evolutionary processes responsible for the divergence of two genomes. A multitude of evolutionary events acting at various organizational levels shape genome evolution. At the lowest level, point mutations affect individual nucleotides. At a higher level, large chromosomal segments undergo duplication, lateral transfer, inversion, transposition, deletion and insertion. Ultimately, whole genomes are involved in processes of hybridization, polyploidization and endosymbiosis, often leading to rapid speciation. The complexity of genome evolution poses many exciting challenges to developers of mathematical models and algorithms, who have recourse to a spectra of algorithmic, statistical and mathematical techniques, ranging from exact, heuristics, fixed parameter and approximation algorithms for problems based on parsimony models to Markov Chain Monte Carlo algorithms for Bayesian analysis of problems based on probabilistic models.
Many of these studies are based on the homology detection and protein families computation.
Modeling biological systems
Main article:
Systems biology
Systems biology involves the use of computer simulations of cellular subsystems (such as the networks of metabolites and enzymes which comprise metabolism, signal transduction pathways and gene regulatory networks) to both analyze and visualize the complex connections of these cellular processes. Artificial life or virtual evolution attempts to understand evolutionary processes via the computer simulation of simple (artificial) life forms.
High-throughput image analysis
Computational technologies are used to accelerate or fully automate the processing, quantification and analysis of large amounts of high-information-content
biomedical imagery. Modern image analysis systems augment an observer's ability to make measurements from a large or complex set of images, by improving accuracy, objectivity, or speed. A fully developed analysis system may completely replace the observer. Although these systems are not unique to biomedical imagery, biomedical imaging is becoming more important for both diagnostics and research. Some examples are:
· high-throughput and high-fidelity quantification and sub-cellular localization (
high-content screening, cytohistopathology)
·
morphometrics
· clinical image analysis and visualization
· determining the real-time air-flow patterns in breathing lungs of living animals
· quantifying occlusion size in real-time imagery from the development of and recovery during arterial injury
· making behavioral observations from extended video recordings of laboratory animals
· infrared measurements for metabolic activity determination
Protein-protein docking
Main article:
Protein-protein docking
In the last two decades, tens of thousands of protein three-dimensional structures have been determined by X-ray crystallography and Protein nuclear magnetic resonance spectroscopy (protein NMR). One central question for the biological scientist is whether it is practical to predict possible protein-protein interactions only based on these 3D shapes, without doing protein-protein interaction experiments. A variety of methods have been developed to tackle the Protein-protein docking problem, though it seems that there is still much place to work on in this field.
Software tools
Software tools for bioinformatics range from simple command-line tools, to more complex graphical programs and standalone web-services. The computational biology tool best-known among biologists is probably
BLAST, an algorithm for determining the similarity of arbitrary sequences against other sequences, possibly from curated databases of protein or DNA sequences. The NCBI provides a popular web-based implementation that searches their databases. BLAST is one of a number of generally available programs for doing sequence alignment.
SOAP-based interfaces have been developed for a wide variety of bioinformatics applications allowing an application running on one computer in one part of the world to use algorithms, data and computing resources on servers in other parts of the world. The availability of these SOAP-based bioinformatics web services through systems such as the BioMoby service register demonstrate the applicability of web based bioinformatics solutions. These tools range from a collection of standalone tools with a common data format under a single, standalone or web-based interface, to integrative and extensible bioinformatics workflow management systems.

Sunday, May 25, 2008

BIOTECHNOLOGY

உயிரித் தொழில்நுட்பம்
உயிரித் தொழில்நுட்பம் என்பது நுண்ணுயிர்கள் மற்றும் நன்மை பயக்கும் மரபணுக்களை அடிப்படையாகக் கொண்டு வேளாண்மை, மருத்துவம், சுற்றுச்சூழல் மற்றும் தொழிற்துறைகளில் பயன்படுத்தப்படும் நுட்பமாகும்.உயிரித் தொழில்நுட்பம் என்ற சொற்றொடர் 1970களில் உருவாக்கப்பட்டது என்றாலும் இந்நுட்பம் பல ஆயிரம் ஆண்டுகள் பழமை வாய்ந்தது ஆகும்.


உயிரித் தொழில்நுட்பத்தின் வரலாறு பற்றிய தனிக் கட்டுரை
கி.மு. 2,000 - எகிப்தியர்களும் சுமேரியர்களும் வெண்ணை செய்வதிலும் Brewing-லும் நிபுணத்துவம் அடைகிறார்கள்.
கி. மு. 300 - கிரேக்கர்கள் ஒட்டுத் தாவரங்களை (grafting techniques for plant breeding) செய்யும் முறையை அறிகிறார்கள்.
கி. பி. 100 - சீனர்கள், தூளாக்கப்பட்ட chrysanthemum-களிலிருந்து முதல் பூச்சிக்கொல்லியைக் கண்டுபிடிக்கின்றனர்.
கி. பி. 1663 - ராபர்ட் ஹூக்கின் திசுள் (Cell) கண்டுபிடிப்பு.
1675 - ஆன்டன் வான் லீவன்ஹூக்கின் பாக்டீரியா கண்டுபிடிப்பு.
1830 - புரதங்கள் கண்டுபிடிப்பு.
1835 - எல்லா உயிரினங்களும் திசுள்களால் ஆனவை என்ற Matthias Scheiden மற்றும் Theodor Schwann கோட்பாடு வெளியீடு;ஒரு திசுளிலிருந்து தான் இன்னொரு திசுள் உருவாக முடியும் என்று Viichow அறிவிக்கிறார்.
1865 - ஜான் கிரிகோர் மெண்டல்,Law of heridity-ஐக் கண்டுபிடிக்கிறார்.
1870-1890 - பல வகை கலப்பினத் தாவரங்கள் உருவாக்கம். விவசாயிகள், நைட்ரஜனேற்ற பாக்டீரியாக்களை பயன்படுத்த ஆரம்பிக்கிறார்கள்.
1928 - சர் அலெக்ஸாண்டர் ஃளெமிங்கின் பென்சிலின் (Antibiotic) கண்டுபிடிப்பு.
1953 - ஜேம்ஸ் வாட்சனும் ஃரான்சிஸ் க்ரிக்கும் முதன்முதலில் DNAவின் Double helix வடிவத்தை விவரிக்கிறார்கள்.
1968 - 20 அமினோ அமிலங்களை உருவாக்கும் மரபியல் குறியீடுகளை ( genetic codes )கண்டறிந்ததற்காக Marshall W. Nirenbergம் ஹர் கோபிந்த் குரானாவும் நோபல் பரிசு பெறுகிறார்கள்.
முதல் restriction enzyme-ஐ அமெரிக்க நுண்ணுயிரியலாளர் டேனியல் நேதன்ஸ் ( Daniel Nathans ) கண்டுபிடித்தார்.restriction enzyme-கள் மரபியல் பண்புகளைத் தரும் வேதிப்பொருட்களை ( genetic material ) பல துண்டுகளாக வெட்ட உதவுவதன் மூலம் ஆராய்ச்சிப் பணிகளுக்கு ஏதுவாக இருக்கிறது.
1972 - DNA துண்டுகளை ஒட்ட உதவும் DNA லைகேஸ் ( DNA ligase ) முதன்முதலில் பயன்படுத்தப்படுகிறது.
1973 - Stanley Cohen-ம் Herbert Boyer-ம் சேர்ந்து recombinant DNA தொழில்நுட்பத்தை கண்டுபிடித்தனர்.இந்நிகழ்வு நவீன உயிரித் தொழில்நுட்பத்திற்கு வித்திட்டதாக கருதப்படுகின்றது.
1978 - Recombinant மனித இன்சுலின் ( Insulin ) முதன்முதலில் உருவாக்கப்படுகிறது.
1980 - முதல் செயற்கை recombinant DNA மூலக்கூறினை உருவாக்கியதற்காக Paul Berg, Walter Gilbert, Fredrick Sanger ஆகியோருக்கு வேதியலுக்கான நோபல் பரிசு வழங்கப்பட்டது.
1981 - முதல் transgenic விலங்கு 'the golden carp', சீன விஞ்ஞானிகளால் படி எடுக்கப்படுகிறது ( Cloned ).
1982 - கால்நடைகளுக்கான முதல் recombinant DNA தடுப்பு மருந்து உருவாக்கம்.
Kary Mullis,சிறிய DNA துண்டுகளை விரைவில் பெருக்கம் செய்ய உதவும் 'பாலிமரேஸ் சங்கிலித்தொடர் வினையை' ( polymerase chain reaction (PCR)) கண்டுபிடிக்கின்றனர்.
1983 - உலகின் முதல் மரபணு மாற்றம் செய்யப்பட்ட தாவரம் நான்கு வெவ்வேறு ஆராய்ச்சிக்குழுக்களால் தனித்தனியே உருவாக்கப்பட்டது (மேரி-டெல் கில்டொன், வாஷிங்டன் பலகலைக்கழகம், செயின்ட் லூயிஸ், அமெரிக்கா; ஜெஃப் ஷெல், மார்க் வான் மொன்டகு, பெல்ஜியம்; ரொபெர்ட் ஃப்ரேலி, ஸ்டீஃபன் ரொஜர்ஸ், ரொபெர்ட் கொர்ஷ், மான்சான்டோ, செயின்ட் லூயிஸ், அமெரிக்கா; ஜான் கெம்ப், திமோதி கால், விஸ்கான்சின் பல்கலைகழகம், அமெரிக்கா)
1990 - உலகின் முதல் 'மனித மரபு ரேகை திட்டம்' ( Human genome project ) தொடங்குகிறது.
1997 - டாலி - படியெடுக்கப்பட்ட முதல் பாலூட்டி - பிறப்பு.
1998 - கிட்டத்தட்ட 30,000 ஜீன்களின் இருப்பிடத்தை வரையறுக்கும் முதல் 'மாதிரி மனித மரபு ரேகை' அறிவிப்பு. ( First draft of HUman Genome )
2000 - அமெரிக்க விஞ்ஞானிகள் Craig Venter மற்றும் Francis Collins முதல் முழுமையான மனித மரபு ரேகையை உலகுக்கு அறிவிக்கிறார்கள்.
உள்ளடக்கிய துறைகளில் சில
மூலக்கூறு உயிரியல்
உயிர் வேதியியல்
வேதிப் பொறியியல்
திசு வளர் தொழில்நுட்பம்
வேளாண்மை
தாவரங்களில் மரபணு மாற்றம் செய்வதின் மூலம், பின்வரும் விரும்பத்தகுந்த குணங்களைப் பெறலாம்.
அதிக நோய் எதிர்ப்பு
வறட்சி எதிர்ப்பு
பூச்சி எதிர்ப்பு
அதிக சத்துக்கள் நிறைந்த உணவுப்பொருட்கள்
உயரிய வியாபார குணங்கள் (எடுத்துக்காட்டு: அதிக நாள் கெடாதிருத்தல், புதிய நிற மலர்கள்)
மருத்துவம்
DNA தடுப்பு மருந்துகள்(DNA Vaccines) - ஒரு நோய்க்கு எதிரான தடுப்பு சக்தியைத் தரும் குறிப்பிட்ட Antigen-களை உருவாக்கும் மரபணுப்பகுதிகளை நேரடியாக ஒருவருக்கு செலுத்துவதன் மூலம், அந்த நோய்க்கு எதிரான அவருடைய தடுப்பு சக்தியைத அதிகரிக்க இயலும்.
மரபணு சிகிச்சை (Gene therapy) - பரம்பரை நோய்கள் மற்றும் மரபணு சார்ந்த நோய்கள் உள்ளவர்களின் கோளாறான மரபணுக்களை நல்ல மரபணுக்களைக் கொண்டு மாற்றி அந்நோயை குணப்படுத்துவதோ அடுத்த தலைமுறைக்கு பரவாமல் செய்வதோ கொள்கையளவில் சாத்தியமாகும்.எனினும் இது குறித்த ஆராய்ச்சிகள் இன்னும் முழு வெற்றி அடையவில்லை.
சுரப்பிகள் (Harmones) - குறைந்த அளவில் சுரப்பதால் குறைப்பாடுகளை உருவாக்கும் இன்சுலின் போன்ற சுரப்பிகளை பாக்டீரியாக்களைக் கொண்டு தயாரித்து மனித உடலில் செலுத்துவதன் மூலம் அக்குறைப்பாடுகளை போக்க இயலும்.
சுற்றுச்சூழல்
நுண்ணுயிர்கள் பின்வரும் பணிகளுக்கு இன்றியமையாதவையாக உள்ளன.
ஆலைகள் மற்றும் குடியிருப்புகளிலிருந்து வெளியாகும் கழிவு நீர் சுத்திகரிப்பு
மாசடைந்த நிலம், காற்று, நீர் நிலைகள் சுத்திகரிப்பு.

தொழிற்துறை
தோல் பதனிடுதல், உணவு பதப்படுத்துதல், புதிய சிறந்த பண்புகளைக் கொண்டுள்ள (ஆடை) நூலிழை தயாரிப்பு மற்றும் புதிய மருந்துகள் கண்டுபிடிப்பு முதலிய துறைகளில் உயிரித் தொழில்நட்பம் முக்கிய பங்கு வகிக்கிறது.
சர்ச்சிக்கப்படும் உயிரித் தொழில்நுட்ப ஆராய்ச்சிப்பணிகள்
குருத்துத் திசுள் ஆராய்ச்சி ( Stem cell research )
மனிதப் படியெடுப்பு( Human cloning )
மரபு மாற்றப்பட்ட உயிரிகள் ( Genetically modified organisms )
மரபு மாற்றப்பட்ட உணவுகள் ( Genetically modified food )