Building integrative functional maps of gene regulation

Author:

Xu Jinrui12,Pratt Henry E3,Moore Jill E3,Gerstein Mark B1245,Weng Zhiping3ORCID

Affiliation:

1. Program in Computational Biology and Bioinformatics, Yale University , New Haven, CT 06520 , USA

2. Department of Molecular Biophysics and Biochemistry, Yale University , New Haven, CT 06520 , USA

3. Program in Bioinformatics and Integrative Biology, UMass Chan Medical School , Worcester, MA 01605 , USA

4. Department of Computer Science, Yale University , New Haven, CT 06520 , USA

5. Department of Statistics and Data Science, Yale University , New Haven, CT 06520 , USA

Abstract

Abstract Every cell in the human body inherits a copy of the same genetic information. The three billion base pairs of DNA in the human genome, and the roughly 50 000 coding and non-coding genes they contain, must thus encode all the complexity of human development and cell and tissue type diversity. Differences in gene regulation, or the modulation of gene expression, enable individual cells to interpret the genome differently to carry out their specific functions. Here we discuss recent and ongoing efforts to build gene regulatory maps, which aim to characterize the regulatory roles of all sequences in a genome. Many researchers and consortia have identified such regulatory elements using functional assays and evolutionary analyses; we discuss the results, strengths and shortcomings of their approaches. We also discuss new techniques the field can leverage and emerging challenges it will face while striving to build gene regulatory maps of ever-increasing resolution and comprehensiveness.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Human Molecular Genetics Review Issue 2022;Human Molecular Genetics;2022-10-15

2. Multiplexed functional genomic assays to decipher the noncoding genome;Human Molecular Genetics;2022-09-03

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