Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Automated cell cycle and cell size measurements for single-cell gene expression studies.

BMC research notes - 1 Feb 2018

Guillemin Anissa, Richard Angélique, Gonin-Giraud Sandrine, Gandrillon Olivier

Abstract excerpt

OBJECTIVES: Recent rise of single-cell studies revealed the importance of understanding the role of cell-to-cell variability, especially at the transcriptomic level. One of the numerous sources of cell-to-cell variation in gene expression is the heterogeneity in cell proliferation state. In order to identify how cell cycle and cell size influences gene expression variability at the single-cell level, we provide...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Automation, Laboratory
Share to Avian Proteins
Share to beta-Globins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cell Size

Share to Erythroid Precursor Cells

Share to HSP90 Heat-Shock Proteins

Share to Primary Cell Culture

Share to Staining and Labeling

Source

Open in PubMed Open full text

Identifiers

PMID: 29391045
DOI: 10.1186/s13104-018-3195-y
PMCID: PMC5796519

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Automated cell cycle and cell size measurements for single-cell gene expression studies.PMID 29391045Read ↗

The technology and biology of single-cell RNA sequencing.Semantic proximity Read ↗

Single-Cell Isolation and Gene Analysis: Pitfalls and Possibilities.Semantic proximity Read ↗

Cell Size Contributes to Single-Cell Proteome Variation.Semantic proximity Read ↗

Single-cell analysis of the transcriptome and its application in the characterization of stem cells and early embryosSemantic proximity Read ↗

Development of a Novel Single Cell Multiomics Approach for Simultaneous Analysis of Replication Timing and Gene ExpressionSemantic proximity Read ↗

Bridging Gene Expression and Morphology: A Cell Size Score and Its Applications Across Multiple Diseases and Physiological ContextsSemantic proximity Read ↗

Cellular Morphometric Analysis (CellMorph)-a comprehensive imaging-based tool for quantifying cellular phenotype heterogeneity and dynamics across biological processes.Semantic proximity Read ↗

Heterogeneity of Metazoan Cells and Beyond: To Integrative Analysis of Cellular Populations at Single-Cell Level.Semantic proximity Read ↗

Linking the genotypes and phenotypes of cancer cells in heterogenous populations via real-time optical tagging and image analysis.Semantic proximity Read ↗

Differences in molecular sampling and data processing explain variation among single-cell and single-nucleus RNA-seq experimentsSemantic proximity Read ↗

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells.Semantic proximity Read ↗

Cell Biology. Using cell-to-cell variability--a new era in molecular biology.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.