Shao-Shan Carol Huang, Ph.D. - Publications

Affiliations: 
2018- Center for Genomics and Systems Biology New York University 

14 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Hajheidari M, Huang SC. Elucidating the biology of transcription factor-DNA interaction for accurate identification of cis-regulatory elements. Current Opinion in Plant Biology. 68: 102232. PMID 35679803 DOI: 10.1016/j.pbi.2022.102232  0.309
2017 Huang SC, Ecker JR. Piecing together cis-regulatory networks: insights from epigenomics studies in plants. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. PMID 29194997 DOI: 10.1002/Wsbm.1411  0.6
2017 Ursu O, Gosline SJC, Beeharry N, Fink L, Bhattacharjee V, Huang SC, Zhou Y, Yen T, Fraenkel E. Network modeling of kinase inhibitor polypharmacology reveals pathways targeted in chemical screens. Plos One. 12: e0185650. PMID 29023490 DOI: 10.1371/Journal.Pone.0185650  0.6
2017 Bartlett A, O'Malley RC, Huang SC, Galli M, Nery JR, Gallavotti A, Ecker JR. Mapping genome-wide transcription-factor binding sites using DAP-seq. Nature Protocols. 12: 1659-1672. PMID 28726847 DOI: 10.1038/Nprot.2017.055  0.783
2017 Trigg SA, Garza RM, MacWilliams A, Nery JR, Bartlett A, Castanon R, Goubil A, Feeney J, O'Malley R, Huang SC, Zhang ZZ, Galli M, Ecker JR. CrY2H-seq: a massively multiplexed assay for deep-coverage interactome mapping. Nature Methods. PMID 28650476 DOI: 10.1038/Nmeth.4343  0.673
2017 Trigg S, Garza R, MacWilliams A, Nery JR, Bartlett A, Castanon R, Goubil A, Feeney J, O'Malley R, Huang SC, Zhang Z, Galli M, Ecker JR. CrY2H-seq interactome screening Protocol Exchange. DOI: 10.1038/Protex.2017.058  0.652
2016 Song L, Huang SC, Wise A, Castanon R, Nery JR, Chen H, Watanabe M, Thomas J, Bar-Joseph Z, Ecker JR. A transcription factor hierarchy defines an environmental stress response network. Science (New York, N.Y.). 354. PMID 27811239 DOI: 10.1126/Science.Aag1550  0.676
2016 O'Malley RC, Huang SC, Song L, Lewsey MG, Bartlett A, Nery JR, Galli M, Gallavotti A, Ecker JR. Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape. Cell. 166: 1598. PMID 27610578 DOI: 10.1016/J.Cell.2016.08.063  0.714
2016 Kawakatsu T, Huang SC, Jupe F, Sasaki E, Schmitz RJ, Urich MA, Castanon R, Nery JR, Barragan C, He Y, Chen H, Dubin M, Lee CR, Wang C, Bemm F, et al. Epigenomic Diversity in a Global Collection of Arabidopsis thaliana Accessions. Cell. 166: 492-505. PMID 27419873 DOI: 10.1016/J.Cell.2016.06.044  0.713
2016 Yazaki J, Galli M, Kim AY, Nito K, Aleman F, Chang KN, Carvunis AR, Quan R, Nguyen H, Song L, Alvarez JM, Huang SC, Chen H, Ramachandran N, Altmann S, et al. Mapping transcription factor interactome networks using HaloTag protein arrays. Proceedings of the National Academy of Sciences of the United States of America. PMID 27357687 DOI: 10.1073/Pnas.1603229113  0.747
2016 O'Malley RC, Huang SC, Song L, Lewsey MG, Bartlett A, Nery JR, Galli M, Gallavotti A, Ecker JR. Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape. Cell. 165: 1280-1292. PMID 27203113 DOI: 10.1016/J.Cell.2016.04.038  0.754
2015 Pedmale UV, Huang SC, Zander M, Cole BJ, Hetzel J, Ljung K, Reis PA, Sridevi P, Nito K, Nery JR, Ecker JR, Chory J. Cryptochromes Interact Directly with PIFs to Control Plant Growth in Limiting Blue Light. Cell. PMID 26724867 DOI: 10.1016/J.Cell.2015.12.018  0.717
2013 Chang KN, Zhong S, Weirauch MT, Hon G, Pelizzola M, Li H, Huang SC, Schmitz RJ, Urich MA, Kuo D, Nery JR, Qiao H, Yang A, Jamali A, Chen H, et al. Author response: Temporal transcriptional response to ethylene gas drives growth hormone cross-regulation in Arabidopsis Elife. DOI: 10.7554/Elife.00675.022  0.732
2009 Huang SC, Fraenkel E. Abstract B72: A computational approach integrating proteomic, transcriptional, and interactome data for discovery of cellular signaling networks Cancer Research. 69. DOI: 10.1158/0008-5472.Fbcr09-B72  0.632
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