Evidence map›Paper›PMID 31063256›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2019

Imaging Flow Cytometry Quantifies Neural Genome Dynamics.

Nadine Michel, Usnish B Majumdar, Joanne Lannigan, Michael J McConnell

Open access · bronzeAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
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  2. Article
  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Nadine MichelDepartment of Biochemistry & Molecular Genetics, University of Virginia School of Medicine, Neuroscience Graduate Program, Charlottesville, Virginia, 22908.
Usnish B MajumdarDepartment of Health System Design and Global Health, Icahn School of Medicine, 1 Gustave L. Levy Pl, New York, NY 10029.
Joanne LanniganDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia School of Medicine, Flow Cytometry Core Facility, 1340 Jefferson Park Ave., Pinn Hall, Room 2011, Charlottesville, Virginia, 22908-0734.
Michael J McConnellDepartment of Biochemistry & Molecular Genetics, University of Virginia School of Medicine, Neuroscience Graduate Program, Charlottesville, Virginia, 22908.
University of Virginia · USIcahn School of Medicine at Mount Sinai · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007267 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GARCIA-BLANCO, MARIANO A. · 1985 to 2024
$13.4M
TRAINING IN CELL AND MOLECULAR BIOLOGYT32GM008136 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI STUKENBERG, P. TODD · 1985 to 2020
$8.5M
NIGMS NIH HHS T32 GM007267NIGMS NIH HHS T32 GM008136
6 · The paper itself

Abstract

Somatic mosaicism is a common consequence of normal development. DNA repair is simply not perfect, and each cell's genome incurs continuous DNA damage as a consequence of transcription, replication, and other cell biological stressors. Brain somatic mosaicism is particularly noteworthy because the vast majority of an individual's neurons are with that individual for life and neural circuits give rise directly to behavioral phenotypes. Brain somatic mosaicism, now revealed and tractable due to advances in single cell 'omic approaches, has emerged as an intriguing and unexplored aspect of neuronal diversity. Furthermore, the study of DNA damage during early neurodevelopment, when the rate of mutagenesis is high, is the perfect starting point to understand the origins of brain mosaicism. Flow cytometry is a highly efficient technique to study cell cycle and intracellular proteins of interest, particularly those related to DNA damage, but it lacks the high resolution of microscopy to examine the localization of these proteins. In this study, we outline a novel single-cell approach to quantify DNA double-strand break (DNA DSB) dynamics during early human neurodevelopment by applying imaging flow cytometry (IFC) to human-induced pluripotent stem cell-derived neural progenitor cells (NPCs) undergoing neurogenesis. We establish an increase of DNA DSBs by quantifying γH2AX foci in mildly stressed NPCs using various single-cell approaches in addition to IFC including fluorescent microscopy, conventional flow cytometry, and measuring DNA DSBs with the comet assay. We demonstrate the dose-dependent sensitive detection of γH2AX foci through IFC and reveal the dynamics of DNA DSBs in proliferating and differentiating neural cells in early neurogenesis. © 2019 International Society for Advancement of Cytometry.

Indexed as

BrainCell DifferentiationDNA Breaks, Double-StrandedDNA DamageDNA RepairFlow CytometryGenomeHistonesHumansInduced Pluripotent Stem CellsMolecular ImagingMosaicismNeurogenesisSingle-Cell AnalysisH2AX protein, humanHistonesdouble strand breakshiPSCsimaging flow cytometrynestinneurogenesisneuronal differentiationNPCsstem cellsTuj1γH2AX

Identifiers

PMID31063256
PMCPMC7851630
OpenAlexW2943857026

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.