Literature DB >> 19480630

The era of 'omics unlimited.

Raj Kandpal1, Beatrice Saviola, Jeffrey Felton.   

Abstract

Determining the primary sequences of informational macromolecules is no longer a limiting factor for our ability to completely understand the biological functioning of cells and organisms. Similarly, our understanding of transcriptional regulation (transcriptomics) has been greatly enhanced by the availability of microarrays. Our next hurdle is to learn the biochemical functions of all the gene products (proteomics) and the totality of all the interactions among them (interactomics). Using traditional biochemical methods, this will take a very long time. More efficient methods are needed to address these questions, or at least to suggest possible candidates for further testing. High-resolution imaging using molecule-specific tags will reveal details of cellular architecture that are expected to provide additional insights and clues about the interactions and functions of many gene products. Computer modeling of macromolecular structures and functional systems will be of key importance. We present here a brief historical and futuristic perspective of genomics and some of its other 'omics offshoots in the post-genomic era.

Mesh:

Substances:

Year:  2009        PMID: 19480630     DOI: 10.2144/000113137

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  13 in total

1.  Chemocentric informatics approach to drug discovery: identification and experimental validation of selective estrogen receptor modulators as ligands of 5-hydroxytryptamine-6 receptors and as potential cognition enhancers.

Authors:  Rima Hajjo; Vincent Setola; Bryan L Roth; Alexander Tropsha
Journal:  J Med Chem       Date:  2012-06-11       Impact factor: 7.446

Review 2.  Monochromosomal Hybrids and Chromosome Transfer: A Functional Approach for Gene Identification.

Authors:  Raj P Kandpal; Arbans K Sandhu; Gurpreet Kaur; Gursurinder P Kaur; Raghbir S Athwal
Journal:  Cancer Genomics Proteomics       Date:  2017 Mar-Apr       Impact factor: 4.069

3.  What determines age-related disease: do we know all the right questions?

Authors:  David A Juckett
Journal:  Age (Dordr)       Date:  2009-11-11

Review 4.  The omic approach to parasitic trematode research-a review of techniques and developments within the past 5 years.

Authors:  Orçun Haçarız; Gearóid P Sayers
Journal:  Parasitol Res       Date:  2016-04-28       Impact factor: 2.289

5.  Genetic-based biomarkers and next-generation sequencing: the future of personalized care in colorectal cancer.

Authors:  Redecca Y Kim; Hua Xu; Samuel Myllykangas; Hanlee Ji
Journal:  Per Med       Date:  2011-05-01       Impact factor: 2.512

6.  Visualization and curve-parameter estimation strategies for efficient exploration of phenotype microarray kinetics.

Authors:  Lea A I Vaas; Johannes Sikorski; Victoria Michael; Markus Göker; Hans-Peter Klenk
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

7.  Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.

Authors:  Feng Li; Lei Nie; Gang Wu; Jianjun Qiao; Weiwen Zhang
Journal:  Comp Funct Genomics       Date:  2011-05-04

Review 8.  The Bridge Helix of RNA polymerase acts as a central nanomechanical switchboard for coordinating catalysis and substrate movement.

Authors:  Robert O J Weinzierl
Journal:  Archaea       Date:  2012-01-22       Impact factor: 3.273

9.  Transcriptome analysis using next generation sequencing reveals molecular signatures of diabetic retinopathy and efficacy of candidate drugs.

Authors:  Raj P Kandpal; Harsha K Rajasimha; Matthew J Brooks; Jacob Nellissery; Jun Wan; Jiang Qian; Timothy S Kern; Anand Swaroop
Journal:  Mol Vis       Date:  2012-05-02       Impact factor: 2.367

10.  Integrative omics - An arsenal for drug discovery.

Authors:  Rahul Soloman Singh; Vani Angra; Ashutosh Singh; Gladson David Masih; Bikash Medhi
Journal:  Indian J Pharmacol       Date:  2022 Jan-Feb       Impact factor: 2.833

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