Author

Yang Chen

National Institutes of HealthORCID 0000-0003-0147-3443Unclaimed ORCID profile · follow to get notified of new preprints

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Yang Chen10 papers · Chinese Academy of Sciences

Biology Disciplines

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Genetics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:Drosophila· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Assay:ChIP-seq· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Elissa P. LeiiD· 2 shared Leah F. RosiniD· 2 shared Adi Laurentiu TarcaiD· 1 shared Attila GáboriD· 1 shared Buu Minh Thanh TruongiD· 1 shared Chang ShuiD· 1 shared Chen-Yu Liu· 1 shared Christoph HafemeisteriD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersGenetics

Elissa P. LeiORCID

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3 papers

Recent·Most cited

Dosage compensation in Bombyx mori is achieved by partial repression of both Z chromosomes in males

Leah F. Rosin, Dahong Chen, Yang Chen, Elissa P. Lei

This paper visualizes dosage compensation in Bombyx mori males by showing both Z chromosomes are partially repressed, supporting convergent evolution with C. elegans.

Proceedings of the National Academy of Sciences · Mar 3, 2022Peer-reviewedGenetics

M1BP cooperates with CP190 to activate transcription at TAD borders and promote chromatin insulator activity

Indira Bag, Shue Chen, Leah F. Rosin, Yang Chen, Chen-Yu Liu, Guo-Yun Yu, Elissa P. Lei

This study identifies M1BP's role in activating transcription at TAD borders and enhancing chromatin insulator activity through its interaction with CP190.

Nature Communications · Jul 7, 2021Peer-reviewedGenomics

Predicting cellular position in the Drosophila embryo from Single-Cell Transcriptomics data

Jovan Tanevski, Thin Nguyen, Buu Minh Thanh Truong, Nikos Karaiskos, Mehmet Eren Ahsen, Xinyu Zhang, Chang Shu, Ke Xu, Xiaoyu Liang, Ying Hu, Vu Pham, Xiaomei Li, Thuc Duy Le, Adi Laurentiu Tarca, Gaurav Bhatti, , Pablo Meyer

The paper predicts cellular positions in the Drosophila embryo using scRNA-seq data by benchmarking methods against spatially annotated genes.

Life Science Alliance · Sep 24, 2020Peer-reviewedSystems Biology