A framework for understanding the functions of biomolecular condensates across scales

AS Lyon, WB Peeples, MK Rosen - Nature Reviews Molecular Cell …, 2021 - nature.com
Biomolecular condensates are found throughout eukaryotic cells, including in the nucleus, in
the cytoplasm and on membranes. They are also implicated in a wide range of cellular …

A phase separation model for transcriptional control

D Hnisz, K Shrinivas, RA Young, AK Chakraborty… - Cell, 2017 - cell.com
Phase-separated multi-molecular assemblies provide a general regulatory mechanism to
compartmentalize biochemical reactions within cells. We propose that a phase separation …

[HTML][HTML] A unique microglia type associated with restricting development of Alzheimer's disease

H Keren-Shaul, A Spinrad, A Weiner… - Cell, 2017 - cell.com
Alzheimer's disease (AD) is a detrimental neurodegenerative disease with no effective
treatments. Due to cellular heterogeneity, defining the roles of immune cell subsets in AD …

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

G Finak, A McDavid, M Yajima, J Deng, V Gersuk… - Genome biology, 2015 - Springer
Single-cell transcriptomics reveals gene expression heterogeneity but suffers from
stochastic dropout and characteristic bimodal expression distributions in which expression is …

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

AP Patel, I Tirosh, JJ Trombetta, AK Shalek… - Science, 2014 - science.org
Human cancers are complex ecosystems composed of cells with distinct phenotypes,
genotypes, and epigenetic states, but current models do not adequately reflect tumor …

Diverse clonal fates emerge upon drug treatment of homogeneous cancer cells

Y Goyal, GT Busch, M Pillai, J Li, RH Boe, EI Grody… - Nature, 2023 - nature.com
Even among genetically identical cancer cells, resistance to therapy frequently emerges
from a small subset of those cells,,,,,–. Molecular differences in rare individual cells in the …

Comparison and evaluation of statistical error models for scRNA-seq

S Choudhary, R Satija - Genome biology, 2022 - Springer
Background Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple
sources, including biological variation in cellular state as well as technical variation …

SC3: consensus clustering of single-cell RNA-seq data

VY Kiselev, K Kirschner, MT Schaub, T Andrews… - Nature …, 2017 - nature.com
Single-cell RNA-seq enables the quantitative characterization of cell types based on global
transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly …

Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types

DA Jaitin, E Kenigsberg, H Keren-Shaul, N Elefant… - Science, 2014 - science.org
In multicellular organisms, biological function emerges when heterogeneous cell types form
complex organs. Nevertheless, dissection of tissues into mixtures of cellular subpopulations …

Network biology: understanding the cell's functional organization

AL Barabasi, ZN Oltvai - Nature reviews genetics, 2004 - nature.com
A key aim of postgenomic biomedical research is to systematically catalogue all molecules
and their interactions within a living cell. There is a clear need to understand how these …