Evidence map›Paper›PMID 39012610›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Single-Molecule Analysis of Transcription Dynamics to Understand the Relationship Between Epigenetic Alterations and Transcriptional Variability.

Mihály Koncz, Miguel Angel Lermo Jimenez, Diewertje G E Piebes, Marten Postma, Pernette J Verschure

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mihály KonczSwammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
Miguel Angel Lermo JimenezSwammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
Diewertje G E PiebesSwammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
Marten PostmaSwammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
Pernette J VerschureSwammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands. p.j.verschure@uva.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity in gene expression largely stems from the discontinuous nature of transcription, with transcripts being produced in bursts with defined frequencies. This cell-to-cell variability in transcription within isogenic cell populations is a known phenomenon across numerous genes. Multiple gene regulatory and epigenetic factors have been identified as key contributors to this pulsatile gene activity. Understanding the effects of epigenetic modulation on transcriptional cell-to-cell variability and kinetics of transcriptional activity is crucial for interpreting changes in treatment responsiveness. We present a detailed protocol that guides the assessment of fluctuations in gene expression induced by epigenetic modulation using single-molecule RNA in situ hybridization (smRNA FISH) combined with confocal microscopy imaging, data analysis, and quantification in breast cancer cells. Through smRNA FISH labeling, both mature and nascent transcripts are identified. Subsequently, the number of mature transcripts and the intensity and frequency of nascent transcripts are quantified, and these measurements are used to calculate the burst size and frequency for the labeled gene. By following this step-by-step methodology, insights are obtained into the intricate relationship between epigenetic alterations and the dynamic nature of gene expression in breast cancer cells.

Indexed as

Epigenesis, GeneticIn Situ Hybridization, FluorescenceSingle Molecule ImagingTranscription, GeneticBreast NeoplasmsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMicroscopy, ConfocalAdvanced microscopyEpigenetic drugsImage analysissmRNA FISHTranscription dynamics

Identifiers

PMID39012610

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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.