Literature DB >> 26590485

Reconciling proteomics with next generation sequencing.

Teck Yew Low1, Albert Jr Heck2.   

Abstract

Both genomics and proteomics technologies have matured in the last decade to a level where they are able to deliver system-wide data on the qualitative and quantitative abundance of their respective molecular entities, that is DNA/RNA and proteins. A next logical step is the collective use of these technologies, ideally gathering data on matching samples. The first large scale so-called proteogenomics studies are emerging, and display the benefits each of these layers of analysis has on the other layers to together generate more meaningful insight into the connection between the phenotype/physiology and genotype of the system under study. Here we review a selected number of these studies, highlighting what they can uniquely deliver. We also discuss the future potential and remaining challenges, from a somewhat proteome biased perspective.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2015        PMID: 26590485     DOI: 10.1016/j.cbpa.2015.10.023

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  5 in total

1.  JUMPg: An Integrative Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells.

Authors:  Yuxin Li; Xusheng Wang; Ji-Hoon Cho; Timothy I Shaw; Zhiping Wu; Bing Bai; Hong Wang; Suiping Zhou; Thomas G Beach; Gang Wu; Jinghui Zhang; Junmin Peng
Journal:  J Proteome Res       Date:  2016-06-13       Impact factor: 4.466

2.  Deciphering Multifactorial Resistance Phenotypes in Acinetobacter baumannii by Genomics and Targeted Label-free Proteomics.

Authors:  Tiphaine Cecchini; Eun-Jeong Yoon; Yannick Charretier; Chloé Bardet; Corinne Beaulieu; Xavier Lacoux; Jean-Denis Docquier; Jerome Lemoine; Patrice Courvalin; Catherine Grillot-Courvalin; Jean-Philippe Charrier
Journal:  Mol Cell Proteomics       Date:  2017-12-19       Impact factor: 5.911

Review 3.  Post-genomic behavioral genetics: From revolution to routine.

Authors:  D G Ashbrook; M K Mulligan; R W Williams
Journal:  Genes Brain Behav       Date:  2017-12-21       Impact factor: 3.449

Review 4.  Sudden Cardiac Death (SCD) - risk stratification and prediction with molecular biomarkers.

Authors:  Junaida Osman; Shing Cheng Tan; Pey Yee Lee; Teck Yew Low; Rahman Jamal
Journal:  J Biomed Sci       Date:  2019-05-22       Impact factor: 12.771

Review 5.  Short open reading frames (sORFs) and microproteins: an update on their identification and validation measures.

Authors:  Alyssa Zi-Xin Leong; Pey Yee Lee; M Aiman Mohtar; Saiful Effendi Syafruddin; Yuh-Fen Pung; Teck Yew Low
Journal:  J Biomed Sci       Date:  2022-03-17       Impact factor: 8.410

  5 in total

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