Evidence map›Paper›PMID 28686586›Full record

ArticleNature protocols2017

Quantifying transcription factor-DNA binding in single cells in vivo with photoactivatable fluorescence correlation spectroscopy.

Ziqing Winston Zhao, Melanie D White, Yanina D Alvarez, Jennifer Zenker, Stephanie Bissiere, Nicolas Plachta

Abstract read
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In one paragraph

Article in Nature protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Review
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  6. Review
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  8. Article
  9. Specification of the First Mammalian Cell Lineages In Vivo and In Vitro.Cold Spring Harbor perspectives in biology · 2020
    Review
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  11. Article
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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

6 authors.

Ziqing Winston ZhaoInstitute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Melanie D WhiteInstitute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Yanina D AlvarezInstitute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Jennifer ZenkerInstitute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Stephanie BissiereInstitute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Nicolas PlachtaInstitute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Probing transcription factor (TF)-DNA interactions remains challenging in complex in vivo systems such as mammalian embryos, especially when TF copy numbers and fluorescence background are high. To address this difficulty, fluorescence correlation spectroscopy (FCS) can be combined with the use of photoactivatable fluorescent proteins to achieve selective photoactivation of a subset of tagged TF molecules. This approach, termed paFCS, enables FCS measurements within single cell nuclei inside live embryos, and obtains autocorrelation data of a quality previously only attainable in simpler in vitro cell culture systems. Here, we present a protocol demonstrating the applicability of paFCS in developing mouse embryos by outlining its implementation on a commercial laser-scanning microscope. We also provide procedures for optimizing the photoactivation and acquisition parameters and determining key parameters describing TF-DNA binding. The entire procedure can be performed within ∼2 d (excluding embryo culture time), although the acquisition of each paFCS data set takes only ∼10 min. This protocol can be used to noninvasively reveal cell-to-cell variation in TF dynamics, as well as critical, fate-predicting changes over the course of early embryonic development.

Indexed as

AnimalsDNAEmbryo, MammalianMiceProtein BindingSingle-Cell AnalysisSpectrometry, FluorescenceTime FactorsTranscription FactorsDNATranscription Factors

Identifiers

PMID28686586

What OpenQuestion holds

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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.