Literature DB >> 34209769

Annotating the Insect Regulatory Genome.

Hasiba Asma1, Marc S Halfon1,2,3,4,5.   

Abstract

An ever-growing number of insect genomes is being sequenced across the evolutionary spectrum. Comprehensive annotation of not only genes but also regulatory regions is critical for reaping the full benefits of this sequencing. Driven by developments in sequencing technologies and in both empirical and computational discovery strategies, the past few decades have witnessed dramatic progress in our ability to identify cis-regulatory modules (CRMs), sequences such as enhancers that play a major role in regulating transcription. Nevertheless, providing a timely and comprehensive regulatory annotation of newly sequenced insect genomes is an ongoing challenge. We review here the methods being used to identify CRMs in both model and non-model insect species, and focus on two tools that we have developed, REDfly and SCRMshaw. These resources can be paired together in a powerful combination to facilitate insect regulatory annotation over a broad range of species, with an accuracy equal to or better than that of other state-of-the-art methods.

Entities:  

Keywords:  arthropod; cis-regulation; enhancer; genome annotation; genomics

Year:  2021        PMID: 34209769     DOI: 10.3390/insects12070591

Source DB:  PubMed          Journal:  Insects        ISSN: 2075-4450            Impact factor:   2.769


  114 in total

1.  The Capacity to Act in Trans Varies Among Drosophila Enhancers.

Authors:  Amanda J Blick; Ilana Mayer-Hirshfeld; Beatriz R Malibiran; Matthew A Cooper; Pieter A Martino; Justine E Johnson; Jack R Bateman
Journal:  Genetics       Date:  2016-03-16       Impact factor: 4.562

Review 2.  Decoding the noncoding genome via large-scale CRISPR screens.

Authors:  Abhijit Shukla; Danwei Huangfu
Journal:  Curr Opin Genet Dev       Date:  2018-06-15       Impact factor: 5.578

3.  Krüppel Expression Levels Are Maintained through Compensatory Evolution of Shadow Enhancers.

Authors:  Zeba Wunderlich; Meghan D J Bragdon; Ben J Vincent; Jonathan A White; Javier Estrada; Angela H DePace
Journal:  Cell Rep       Date:  2015-09-03       Impact factor: 9.423

4.  Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks.

Authors:  Daniel Marbach; Sushmita Roy; Ferhat Ay; Patrick E Meyer; Rogerio Candeias; Tamer Kahveci; Christopher A Bristow; Manolis Kellis
Journal:  Genome Res       Date:  2012-03-28       Impact factor: 9.043

5.  Improved accuracy of supervised CRM discovery with interpolated Markov models and cross-species comparison.

Authors:  Majid Kazemian; Qiyun Zhu; Marc S Halfon; Saurabh Sinha
Journal:  Nucleic Acids Res       Date:  2011-08-05       Impact factor: 16.971

6.  Identification of new Anopheles gambiae transcriptional enhancers using a cross-species prediction approach.

Authors:  I Schember; M S Halfon
Journal:  Insect Mol Biol       Date:  2021-04-27       Impact factor: 3.424

Review 7.  Assessing sufficiency and necessity of enhancer activities for gene expression and the mechanisms of transcription activation.

Authors:  Rui R Catarino; Alexander Stark
Journal:  Genes Dev       Date:  2018-02-01       Impact factor: 11.361

8.  Genome-wide prediction of cis-regulatory regions using supervised deep learning methods.

Authors:  Yifeng Li; Wenqiang Shi; Wyeth W Wasserman
Journal:  BMC Bioinformatics       Date:  2018-05-31       Impact factor: 3.169

9.  Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy.

Authors:  Hamutal Arbel; Sumanta Basu; William W Fisher; Ann S Hammonds; Kenneth H Wan; Soo Park; Richard Weiszmann; Benjamin W Booth; Soile V Keranen; Clara Henriquez; Omid Shams Solari; Peter J Bickel; Mark D Biggin; Susan E Celniker; James B Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-31       Impact factor: 11.205

10.  STARR-seq identifies active, chromatin-masked, and dormant enhancers in pluripotent mouse embryonic stem cells.

Authors:  Tianran Peng; Yanan Zhai; Yaser Atlasi; Menno Ter Huurne; Hendrik Marks; Hendrik G Stunnenberg; Wout Megchelenbrink
Journal:  Genome Biol       Date:  2020-09-10       Impact factor: 13.583

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  2 in total

Review 1.  Common Themes and Future Challenges in Understanding Gene Regulatory Network Evolution.

Authors:  Isabella Schember; Marc S Halfon
Journal:  Cells       Date:  2022-02-01       Impact factor: 6.600

Review 2.  REDfly: An Integrated Knowledgebase for Insect Regulatory Genomics.

Authors:  Soile V E Keränen; Angel Villahoz-Baleta; Andrew E Bruno; Marc S Halfon
Journal:  Insects       Date:  2022-07-11       Impact factor: 3.139

  2 in total

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