Bioinformatics and proteomics approaches for aging research

Chaerkady Raghothama, H. C. Harsha, C. K. Prasad, Akhilesh Pandey

Research output: Contribution to journalReview article

12 Citations (Scopus)

Abstract

Aging is a natural phenomenon that affects the entire physiology of an organism. Elucidating the molecular mechanisms underlying this complex process remains a major challenge today. Humans make poor models for research into aging because of their long life span. Thus, most of the current knowledge is through studies conducted in lower organisms. Large differences in life spans make it difficult to extrapolate the results of experiments carried out in model organisms to humans. Recent advances in genomic and proteomic technologies now permit generation of data pertaining to aging on a large-scale. In addition, several web-based community resources and databases are available that provide easy access to the available data. Use of bioinformatics and systems biology type of approaches provide a framework to start dissecting this complex biological phenomenon. Here, we discuss various genomic, transcriptomic and proteomic approaches that have the potential to provide a comprehensive mechanistic insight into the aging process.

Original languageEnglish
Pages (from-to)227-232
Number of pages6
JournalBiogerontology
Volume6
Issue number4
DOIs
Publication statusPublished - 01-09-2005
Externally publishedYes

Fingerprint

Computational Biology
Proteomics
Biological Phenomena
Systems Biology
Research
Databases
Technology

All Science Journal Classification (ASJC) codes

  • Geriatrics and Gerontology

Cite this

Raghothama, C., Harsha, H. C., Prasad, C. K., & Pandey, A. (2005). Bioinformatics and proteomics approaches for aging research. Biogerontology, 6(4), 227-232. https://doi.org/10.1007/s10522-005-2617-0
Raghothama, Chaerkady ; Harsha, H. C. ; Prasad, C. K. ; Pandey, Akhilesh. / Bioinformatics and proteomics approaches for aging research. In: Biogerontology. 2005 ; Vol. 6, No. 4. pp. 227-232.
@article{78d6a68ad358497abd2cd45fdd129baf,
title = "Bioinformatics and proteomics approaches for aging research",
abstract = "Aging is a natural phenomenon that affects the entire physiology of an organism. Elucidating the molecular mechanisms underlying this complex process remains a major challenge today. Humans make poor models for research into aging because of their long life span. Thus, most of the current knowledge is through studies conducted in lower organisms. Large differences in life spans make it difficult to extrapolate the results of experiments carried out in model organisms to humans. Recent advances in genomic and proteomic technologies now permit generation of data pertaining to aging on a large-scale. In addition, several web-based community resources and databases are available that provide easy access to the available data. Use of bioinformatics and systems biology type of approaches provide a framework to start dissecting this complex biological phenomenon. Here, we discuss various genomic, transcriptomic and proteomic approaches that have the potential to provide a comprehensive mechanistic insight into the aging process.",
author = "Chaerkady Raghothama and Harsha, {H. C.} and Prasad, {C. K.} and Akhilesh Pandey",
year = "2005",
month = "9",
day = "1",
doi = "10.1007/s10522-005-2617-0",
language = "English",
volume = "6",
pages = "227--232",
journal = "Biogerontology",
issn = "1389-5729",
publisher = "Springer Netherlands",
number = "4",

}

Raghothama, C, Harsha, HC, Prasad, CK & Pandey, A 2005, 'Bioinformatics and proteomics approaches for aging research', Biogerontology, vol. 6, no. 4, pp. 227-232. https://doi.org/10.1007/s10522-005-2617-0

Bioinformatics and proteomics approaches for aging research. / Raghothama, Chaerkady; Harsha, H. C.; Prasad, C. K.; Pandey, Akhilesh.

In: Biogerontology, Vol. 6, No. 4, 01.09.2005, p. 227-232.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Bioinformatics and proteomics approaches for aging research

AU - Raghothama, Chaerkady

AU - Harsha, H. C.

AU - Prasad, C. K.

AU - Pandey, Akhilesh

PY - 2005/9/1

Y1 - 2005/9/1

N2 - Aging is a natural phenomenon that affects the entire physiology of an organism. Elucidating the molecular mechanisms underlying this complex process remains a major challenge today. Humans make poor models for research into aging because of their long life span. Thus, most of the current knowledge is through studies conducted in lower organisms. Large differences in life spans make it difficult to extrapolate the results of experiments carried out in model organisms to humans. Recent advances in genomic and proteomic technologies now permit generation of data pertaining to aging on a large-scale. In addition, several web-based community resources and databases are available that provide easy access to the available data. Use of bioinformatics and systems biology type of approaches provide a framework to start dissecting this complex biological phenomenon. Here, we discuss various genomic, transcriptomic and proteomic approaches that have the potential to provide a comprehensive mechanistic insight into the aging process.

AB - Aging is a natural phenomenon that affects the entire physiology of an organism. Elucidating the molecular mechanisms underlying this complex process remains a major challenge today. Humans make poor models for research into aging because of their long life span. Thus, most of the current knowledge is through studies conducted in lower organisms. Large differences in life spans make it difficult to extrapolate the results of experiments carried out in model organisms to humans. Recent advances in genomic and proteomic technologies now permit generation of data pertaining to aging on a large-scale. In addition, several web-based community resources and databases are available that provide easy access to the available data. Use of bioinformatics and systems biology type of approaches provide a framework to start dissecting this complex biological phenomenon. Here, we discuss various genomic, transcriptomic and proteomic approaches that have the potential to provide a comprehensive mechanistic insight into the aging process.

UR - http://www.scopus.com/inward/record.url?scp=31044445400&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=31044445400&partnerID=8YFLogxK

U2 - 10.1007/s10522-005-2617-0

DO - 10.1007/s10522-005-2617-0

M3 - Review article

C2 - 16333756

AN - SCOPUS:31044445400

VL - 6

SP - 227

EP - 232

JO - Biogerontology

JF - Biogerontology

SN - 1389-5729

IS - 4

ER -