Mass spectrometry‐based protein–protein interaction networks for the study of human diseases

AL Richards, M Eckhardt, NJ Krogan - Molecular systems biology, 2021 - embopress.org
A better understanding of the molecular mechanisms underlying disease is key for
expediting the development of novel therapeutic interventions. Disease mechanisms are …

Differential network analysis: A statistical perspective

A Shojaie - Wiley Interdisciplinary Reviews: Computational …, 2021 - Wiley Online Library
Networks effectively capture interactions among components of complex systems, and have
thus become a mainstay in many scientific disciplines. Growing evidence, especially from …

Predicting and characterizing a cancer dependency map of tumors with deep learning

YC Chiu, S Zheng, LJ Wang, BS Iskra, MK Rao… - Science …, 2021 - science.org
Genome-wide loss-of-function screens have revealed genes essential for cancer cell
proliferation, called cancer dependencies. It remains challenging to link cancer …

Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells

WF Lenoir, M Morgado, PC DeWeirdt… - Nature …, 2021 - nature.com
CRISPR knockout fitness screens in cancer cell lines reveal many genes whose loss of
function causes cell death or loss of fitness or, more rarely, the opposite phenotype of faster …

[PDF][PDF] High-grade serous ovarian tumor cells modulate NK cell function to create an immune-tolerant microenvironment

VD Gonzalez, YW Huang, A Delgado-Gonzalez… - Cell reports, 2021 - cell.com
Tubo-ovarian high-grade serous carcinoma (HGSC) is unresponsive to immune checkpoint
blockade despite significant frequencies of exhausted T cells. Here we apply mass …

FIREWORKS: a bottom-up approach to integrative coessentiality network analysis

DR Amici, JM Jackson, MI Truica… - Life science …, 2021 - life-science-alliance.org
Genetic coessentiality analysis, a computational approach which identifies genes sharing a
common effect on cell fitness across large-scale screening datasets, has emerged as a …

[HTML][HTML] Identification of key genes with differential correlations in lung adenocarcinoma

Y Zhou, B Xu, Y Zhou, J Liu, X Zheng, Y Liu… - Frontiers in cell and …, 2021 - frontiersin.org
Background With the advent of large-scale molecular profiling, an increasing number of
oncogenic drivers contributing to precise medicine and reshaping classification of lung …

Construction and analysis of the protein–protein interaction network for the detoxification enzymes of the silkworm, Bombyx mori

SH Xin, WJ Zhang - Archives of Insect Biochemistry and …, 2021 - Wiley Online Library
Detoxification enzymes are necessary for insects to metabolize toxic substances and
maintain physiological activities. Cytochromes P450 (CYPs), glutathione S‐transferases …

Differential network analysis by simultaneously considering changes in gene interactions and gene expression

JJ Tu, L Ou-Yang, Y Zhu, H Yan, H Qin… - Bioinformatics, 2021 - academic.oup.com
Motivation Differential network analysis is an important tool to investigate the rewiring of
gene interactions under different conditions. Several computational methods have been …

Integrating 3D structural information into systems biology

D Murray, D Petrey, B Honig - Journal of Biological Chemistry, 2021 - ASBMB
Systems biology is a data-heavy field that focuses on systems-wide depictions of biological
phenomena necessarily sacrificing a detailed characterization of individual components. As …