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Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types

Jingqi Q. X. Gong
Eric A. Sobie
ResearchOpen Access24 Feb 2018
npj Systems Biology and Applications

Volume: 4, P: 1-11
Multiscale mapping of transcriptomic signatures for cardiotoxic drugs

Using a new computational pipeline for identification of drug-selective transcriptomic responses and FAERS data, the authors identified potential pathways and genomic variants indicative of cancer drug cardiotoxicity in iPSC-derived cardiomyocytes.

Jens Hansen
Yuguang Xiong
Ravi Iyengar
ResearchOpen Access11 Sept 2024
Nature Communications

Volume: 15, P: 1-17
Plexin-B2 orchestrates collective stem cell dynamics via actomyosin contractility, cytoskeletal tension and adhesion

Biomechanical mechanisms orchestrating stem cell dynamics in development remain unclear. Here the authors show that guidance receptor Plexin-B2 organizes actomyosin contractility, cytoskeletal tension and adhesion during multicellular development of human embryonic stem cells and neuroprogenitor cells.

Chrystian Junqueira Alves
Rafael Dariolli
Roland H. Friedel
ResearchOpen Access14 Oct 2021
Nature Communications

Volume: 12, P: 1-23
Inter-individual variability and modeling of electrical activity: a possible new approach to explore cardiac safety?

Jean-Yves Le Guennec
Jérôme Thireau
Pascal Champéroux
ResearchOpen Access30 Nov 2016
Scientific Reports

Volume: 6, P: 1-15
Transcriptomic profiling of human cardiac cells predicts protein kinase inhibitor-associated cardiotoxicity

Cardiotoxic adverse events associated with kinase inhibitors are a growing concern in clinical oncology. Here the authors use cellular transcriptomic responses of human cardiomyocytes treated with protein kinase inhibitors and the associated drug structural signatures to determine an integrated predictive signature of cardiotoxicity.

J. G. Coen van Hasselt
Rayees Rahman
Ravi Iyengar
ResearchOpen Access23 Sept 2020
Nature Communications

Volume: 11, P: 1-12
A Comparison of mRNA Sequencing with Random Primed and 3′-Directed Libraries

Yuguang Xiong
Magali Soumillon
Marc R. Birtwistle
ResearchOpen Access07 Nov 2017
Scientific Reports

Volume: 7, P: 1-12
Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity

Yuguang Xiong
Tong Liu
Evren U. Azeloglu
ResearchOpen Access20 Jan 2022
Scientific Data

Volume: 9, P: 1-11
Multifaceted roles of miR-1s in repressing the fetal gene program in the heart

Yusheng Wei
Siwu Peng
Yong Zhao
Research31 Jan 2014
Cell Research

Volume: 24, P: 278-292

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Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types

Multiscale mapping of transcriptomic signatures for cardiotoxic drugs

Plexin-B2 orchestrates collective stem cell dynamics via actomyosin contractility, cytoskeletal tension and adhesion

Inter-individual variability and modeling of electrical activity: a possible new approach to explore cardiac safety?

Transcriptomic profiling of human cardiac cells predicts protein kinase inhibitor-associated cardiotoxicity

A Comparison of mRNA Sequencing with Random Primed and 3′-Directed Libraries

Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity

Multifaceted roles of miR-1s in repressing the fetal gene program in the heart

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