Evidence map›Paper›PMID 36427148›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Quantifying the Binding and Target-Search Kinetics of Transcriptional Regulatory Factors by Live-Cell Single-Molecule Tracking.

Steven Ingersoll, Kyle Brown, Brian Ma, Xiaojun Ren

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Commonly asked questions about transcriptional activation domains.Current opinion in structural biology · 2024
    Review
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.

Steven IngersollDepartment of Chemistry, University of Colorado Denver, Denver, CO, USA.
Kyle BrownDepartment of Chemistry, University of Colorado Denver, Denver, CO, USA.
Brian MaDepartment of Chemistry, University of Colorado Denver, Denver, CO, USA.
Xiaojun RenDepartment of Chemistry, University of Colorado Denver, Denver, CO, USA. xiaojun.ren@ucdenver.edu.

Funding

Spatial Organization of Epigenetic Complexes and ChromatinR01GM135286 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI PHIEL, CHRISTOPHER J · 2019 to 2022
$1.3M
NIGMS NIH HHS R01 GM135286
6 · The paper itself

Abstract

Eukaryotic transcriptional regulatory factors, such as transcription factors and epigenetic regulatory factors, must locate, bind, and assemble at specific genomic regions to execute functions within the complex and crowded environment of the nucleus. These dynamic processes are typically at nonequilibrium, so quantifying their binding and target-search processes within the native environment is essential for understanding transcriptional mechanisms. Live-cell single-molecule tracking (SMT) is an emerging technique that can be utilized to observe molecular trajectories of individual transcriptional regulatory complexes within the nucleus. Here, we describe the use of live-cell SMT to observe trajectories of individual transcriptional regulatory complexes. We delineate the imaging analysis to obtain chromatin-bound fraction and residence time. Finally, we elaborate on the kinetic modeling to estimate target-search parameters. These binding and target-search parameters facilitate the understanding of how transcription is spatially and temporally regulated under physiological and pathological conditions.

Indexed as

Single Molecule ImagingTranscription FactorsCell NucleusKineticsPhysicsTranscription FactorsBinding stabilityChromatinEpigeneticsGenomic occupancyLive-cell single-molecule trackingResidence timeSingle-molecule fluorescent microscopyTarget-search kineticsTranscription

Identifiers

What OpenQuestion holds

Textmetadata
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.