Literature DB >> 27860250

Transcription factor proteomics-Tools, applications, and challenges.

Jovan Simicevic1,2, Bart Deplancke1.   

Abstract

Transcription factors (TFs) are a family of DNA-binding proteins whose gene regulatory capabilities are of vital importance in defining the molecular state of a cell. Despite their biological significance, our understanding of TF behavior and function is still limited. This is because we have so far mostly relied on gene expression data to approximate TF protein levels given that the latter information has been notoriously difficult to obtain due to the relatively low expression levels of many TFs. However, significant advances in mass spectrometry technologies combined with the development of sensitive methodologies aimed at detecting TFs are now allowing a transition from a predominantly qualitative to a quantitative protein landscape. Such a paradigm shift is expected to unravel dynamic aspects of TF function, potentially linking TF copy number fluctuations in cells with specific regulatory functions. This in turn may provide novel insights into the regulatory mechanisms underlying a wide range of fundamental and disease-related biological processes. In this review, we will present the latest advances in mass spectrometry-based TF proteomics and describe novel strategies tailored around the quantification of this important family of DNA-binding proteins.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Enrichment; Mass spectrometry; Quantification; Technology; Transcription factor

Mesh:

Substances:

Year:  2017        PMID: 27860250     DOI: 10.1002/pmic.201600317

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  8 in total

1.  Development of a Transcription Factor-Based Prognostic Model for Predicting the Immune Status and Outcome in Pancreatic Adenocarcinoma.

Authors:  Xianbin Zhang; Li Li; Peng Liu; Yu Tian; Peng Gong
Journal:  J Immunol Res       Date:  2022-05-05       Impact factor: 4.493

2.  Identifying the Transcriptional Regulatory Network Associated With Extrathyroidal Extension in Papillary Thyroid Carcinoma by Comprehensive Bioinformatics Analysis.

Authors:  Yong Chen; Bo Jiang; Wenlong Wang; Duntao Su; Fada Xia; Xinying Li
Journal:  Front Genet       Date:  2020-05-11       Impact factor: 4.599

3.  A sensitive and simple targeted proteomics approach to quantify transcription factor and membrane proteins of the unfolded protein response pathway in glioblastoma cells.

Authors:  Chi D L Nguyen; Sebastian Malchow; Stefan Reich; Sascha Steltgens; Konstantin V Shuvaev; Stefan Loroch; Christin Lorenz; Albert Sickmann; Christiane B Knobbe-Thomsen; Björn Tews; Jan Medenbach; Robert Ahrends
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

4.  The FUS-DDIT3 Interactome in Myxoid Liposarcoma.

Authors:  Jamie S E Yu; Shane Colborne; Christopher S Hughes; Gregg B Morin; Torsten O Nielsen
Journal:  Neoplasia       Date:  2019-06-17       Impact factor: 5.715

5.  Pan-cancer quantitation of epithelial-mesenchymal transition dynamics using parallel reaction monitoring-based targeted proteomics approach.

Authors:  Ankit P Jain; Janani Sambath; Gajanan Sathe; Irene A George; Akhilesh Pandey; Erik W Thompson; Prashant Kumar
Journal:  J Transl Med       Date:  2022-02-11       Impact factor: 5.531

6.  Upregulation of key genes Eln and Tgfb3 were associated with the severity of cardiac hypertrophy.

Authors:  Rui Zhang; Xuan Xu; Xi Chen; Chunshu Hao; Zhenjun Ji; Pengfei Zuo; Mingming Yang; Genshan Ma; Yongjun Li
Journal:  BMC Genomics       Date:  2022-08-14       Impact factor: 4.547

7.  Regulator of G protein signaling 12 enhances osteoclastogenesis by suppressing Nrf2-dependent antioxidant proteins to promote the generation of reactive oxygen species.

Authors:  Andrew Ying Hui Ng; Ziqing Li; Megan M Jones; Shuting Yang; Chunyi Li; Chuanyun Fu; Chengjian Tu; Merry Jo Oursler; Jun Qu; Shuying Yang
Journal:  Elife       Date:  2019-09-06       Impact factor: 8.140

8.  Progression of Thyroid Carcinoma Is Promoted by the m6A Methyltransferase METTL3 Through Regulating m6A Methylation on TCF1.

Authors:  Kejin Wang; Lin Jiang; Yan Zhang; Chao Chen
Journal:  Onco Targets Ther       Date:  2020-02-21       Impact factor: 4.147

  8 in total

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