Transition states and cell fate decisions in epigenetic landscapes
Waddington's epigenetic landscape is an abstract metaphor frequently used to represent the
relationship between gene activity and cell fates during development. Over the past few …
relationship between gene activity and cell fates during development. Over the past few …
The myeloid cell compartment—cell by cell
K Bassler, J Schulte-Schrep**… - Annual review of …, 2019 - annualreviews.org
Myeloid cells are a major cellular compartment of the immune system comprising
monocytes, dendritic cells, tissue macrophages, and granulocytes. Models of cellular …
monocytes, dendritic cells, tissue macrophages, and granulocytes. Models of cellular …
SCENIC: single-cell regulatory network inference and clustering
S Aibar, CB González-Blas, T Moerman… - Nature …, 2017 - nature.com
We present SCENIC, a computational method for simultaneous gene regulatory network
reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic …
reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic …
Gene regulatory network inference from single-cell data using multivariate information measures
While single-cell gene expression experiments present new challenges for data processing,
the cell-to-cell variability observed also reveals statistical relationships that can be used by …
the cell-to-cell variability observed also reveals statistical relationships that can be used by …
SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation
Motivation The analysis of RNA-Seq data from individual differentiating cells enables us to
reconstruct the differentiation process and the degree of differentiation (in pseudo-time) of …
reconstruct the differentiation process and the degree of differentiation (in pseudo-time) of …
Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
Background A fundamental fact in biology states that genes do not operate in isolation, and
yet, methods that infer regulatory networks for single cell gene expression data have been …
yet, methods that infer regulatory networks for single cell gene expression data have been …
Single-cell transcriptomics unveils gene regulatory network plasticity
Background Single-cell RNA sequencing (scRNA-seq) plays a pivotal role in our
understanding of cellular heterogeneity. Current analytical workflows are driven by …
understanding of cellular heterogeneity. Current analytical workflows are driven by …
Map** gene regulatory networks from single-cell omics data
MWEJ Fiers, L Minnoye, S Aibar… - Briefings in …, 2018 - academic.oup.com
Single-cell techniques are advancing rapidly and are yielding unprecedented insight into
cellular heterogeneity. Map** the gene regulatory networks (GRNs) underlying cell states …
cellular heterogeneity. Map** the gene regulatory networks (GRNs) underlying cell states …
Single-cell network biology for resolving cellular heterogeneity in human diseases
Understanding cellular heterogeneity is the holy grail of biology and medicine. Cells
harboring identical genomes show a wide variety of behaviors in multicellular organisms …
harboring identical genomes show a wide variety of behaviors in multicellular organisms …
Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome
AE Teschendorff, T Enver - Nature communications, 2017 - nature.com
The ability to quantify differentiation potential of single cells is a task of critical importance.
Here we demonstrate, using over 7,000 single-cell RNA-Seq profiles, that differentiation …
Here we demonstrate, using over 7,000 single-cell RNA-Seq profiles, that differentiation …