Evidence map›Paper›PMID 35537478›Full record

ArticleOpen biology2022

Single-molecule tracking (SMT) and localization of SRF and MRTF transcription factors during neuronal stimulation and differentiation.

Oliver Kuchler, Jule Gerlach, Thomas Vomhof, Johannes Hettich, Julia Steinmetz, J Christof M Gebhardt, Jens Michaelis, Bernd Knöll

Abstract read
In one paragraph

Article in Open biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Serum response factor as a prognostic indicator of angiogenesis and early recurrence in Glioblastoma: a retrospective immunohistochemical study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  5. Article
  6. Review
  7. SRF transcriptionally regulates the oligodendrocyte cytoskeleton during CNS myelination.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
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

8 authors.

Oliver KuchlerInstitute of Neurobiochemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
Jule GerlachInstitute of Neurobiochemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
Thomas VomhofInstitute of Biophysics, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
Johannes HettichInstitute of Biophysics, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.
Julia SteinmetzDepartment of Statistics, TU Dortmund University, August-Schmidt Straße 1, 44227 Dortmund, Germany.
J Christof M GebhardtInstitute of Biophysics, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.ORCID 0000-0003-1900-600X
Jens MichaelisInstitute of Biophysics, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.ORCID 0000-0002-2739-4172
Bernd KnöllInstitute of Neurobiochemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.ORCID 0000-0001-7685-3796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cells, proteins encoded by the same gene do not all behave uniformly but engage in functional subpopulations induced by spatial or temporal segregation. While conventional microscopy has limitations in revealing such spatial and temporal diversity, single-molecule tracking (SMT) microscopy circumvented this problem and allows for high-resolution imaging and quantification of dynamic single-molecule properties. Particularly in the nucleus, SMT has identified specific DNA residence times of transcription factors (TFs), DNA-bound TF fractions and positions of transcriptional hot-spots upon cell stimulation. By contrast to cell stimulation, SMT has not been employed to follow dynamic TF changes along stages of cell differentiation. Herein, we analysed the serum response factor (SRF), a TF involved in the differentiation of many cell types to study nuclear single-molecule dynamics in neuronal differentiation. Our data in living mouse hippocampal neurons show dynamic changes in SRF DNA residence time and SRF DNA-bound fraction between the stages of adhesion, neurite growth and neurite differentiation in axon and dendrites. Using TALM (tracking and localization microscopy), we identified nuclear positions of SRF clusters and observed changes in their numbers and size during differentiation. Furthermore, we show that the SRF cofactor MRTF-A (myocardin-related TF or MKL1) responds to cell activation by enhancing the long-bound DNA fraction. Finally, a first SMT colocalization study of two proteins was performed in living cells showing enhanced SRF/MRTF-A colocalization upon stimulation. In summary, SMT revealed modulation of dynamic TF properties during cell stimulation and differentiation.

Indexed as

Serum Response FactorTranscription FactorsAnimalsCell DifferentiationCell NucleusMiceNeuronsSerum Response FactorTranscription Factorshalo-tagMRTFsingle-moleculesnap-tagSRFtranscription

Identifiers

PMID35537478
PMCPMC9090491

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Registered trials

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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.