S
Sriram Chandrasekaran
Researcher at University of Michigan
Publications - 74
Citations - 1966
Sriram Chandrasekaran is an academic researcher from University of Michigan. The author has contributed to research in topics: Medicine & Metabolic network. The author has an hindex of 18, co-authored 58 publications receiving 1501 citations. Previous affiliations of Sriram Chandrasekaran include Wyss Institute for Biologically Inspired Engineering & Harvard University.
Papers
More filters
Journal ArticleDOI
Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis.
TL;DR: This study constructed an integrated regulatory-metabolic network for the model organism, Escherichia coli, and demonstrated that the method based on automated inference is more accurate and comprehensive than the current state of the art, which is based on manual curation of literature.
Journal ArticleDOI
LIN28 Regulates Stem Cell Metabolism and Conversion to Primed Pluripotency.
Jin Zhang,Sutheera Ratanasirintrawoot,Sutheera Ratanasirintrawoot,Sriram Chandrasekaran,Zhaoting Wu,Scott B. Ficarro,Chunxiao Yu,Christian A. Ross,Davide Cacchiarelli,Qing Xia,Marc T. Seligson,Gen Shinoda,Wen Xie,Patrick Cahan,Longfei Wang,Shyh Chang Ng,Supisara Tintara,Cole Trapnell,Cole Trapnell,Tamer T. Onder,Yuin-Han Loh,Tarjei S. Mikkelsen,Tarjei S. Mikkelsen,Piotr Sliz,Michael A. Teitell,John M. Asara,Jarrod A. Marto,Hu Li,James J. Collins,James J. Collins,James J. Collins,George Q. Daley +31 more
TL;DR: It is shown that, like LIN28A, LIN28B can function effectively with NANOG, OCT4, and SOX2 in reprogramming to pluripotency and that reactivation of both endogenousLIN28A and LIN28 B loci are required for maximal reprograming efficiency.
Journal ArticleDOI
Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states
Sriram Chandrasekaran,Seth A. Ament,Seth A. Ament,James A. Eddy,Sandra L. Rodriguez-Zas,Bruce R. Schatz,Nathan D. Price,Gene E. Robinson +7 more
TL;DR: Using brain transcriptomic profiles from 853 individual honey bees exhibiting 48 distinct behavioral phenotypes in naturalistic contexts, it is reported that behavior-specific neurogenomic states can be inferred from the coordinated action of transcription factors (TFs) and their predicted target genes.
Journal ArticleDOI
Molecular signatures from omics data: From chaos to consensus
Jaeyun Sung,Yuliang Wang,Yuliang Wang,Sriram Chandrasekaran,Sriram Chandrasekaran,Daniela Witten,Nathan D. Price,Nathan D. Price +7 more
TL;DR: This paper discusses the process of molecular signature discovery on the basis of omics data, and highlights potential pitfalls in the discovery process, as well as strategies that can be used to increase the odds of successful discovery.
Journal ArticleDOI
Purine metabolism regulates DNA repair and therapy resistance in glioblastoma
Weihua Zhou,Yangyang Yao,Yangyang Yao,Andrew J. Scott,Kari Wilder-Romans,Joseph Dresser,Christian K. Werner,Hanshi Sun,Drew Pratt,Peter Sajjakulnukit,Shuang G. Zhao,Mary A. Davis,Barbara S. Nelson,Christopher J. Halbrook,Li Zhang,Francesco Gatto,Yoshie Umemura,Angela K. Walker,Maureen Kachman,Jann N. Sarkaria,Jianping Xiong,Meredith A. Morgan,Alnawaz Rehemtualla,Maria G. Castro,Pedro R. Lowenstein,Sriram Chandrasekaran,Theodore S. Lawrence,Costas A. Lyssiotis,Daniel R. Wahl +28 more
TL;DR: It is shown that glioblastoma radiation resistance is promoted by purine metabolism and can be overcome by inhibitors of purine synthesis, and that inhibiting purines synthesis may be a promising strategy to overcome therapy resistance in this genomically heterogeneous disease.