Evidence map›Paper›PMID 26763984›Full record

ReviewCold Spring Harbor symposia on quantitative biology2015

Imaging Transcription: Past, Present, and Future.

Robert A Coleman, Zhe Liu, Xavier Darzacq, Robert Tjian, Robert H Singer, Timothée Lionnet

Open access · diamondAbstract readReview
In one paragraph

Review in Cold Spring Harbor symposia on quantitative biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Recent Advances in Single-Molecule Tracking and Imaging Techniques.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Toward mapping the human body at a cellular resolution.Molecular biology of the cell · 2018
    Review
  16. Dynamic enhancer function in the chromatin context.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Robert A ColemanDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, New York 10461.
Zhe LiuHHMI Janelia Research Campus, Ashburn, Virginia 20147.
Xavier DarzacqHHMI Janelia Research Campus, Ashburn, Virginia 20147 Department of MCB, LKS Biomedical and Health Sciences Center, CIRM Center of Excellence, University of California, Berkeley, California 94720.
Robert TjianHHMI Janelia Research Campus, Ashburn, Virginia 20147 Department of MCB, LKS Biomedical and Health Sciences Center, CIRM Center of Excellence, University of California, Berkeley, California 94720.
Robert H SingerDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, New York 10461 HHMI Janelia Research Campus, Ashburn, Virginia 20147.
Timothée LionnetHHMI Janelia Research Campus, Ashburn, Virginia 20147.
Janelia Research Campus · USUniversity of California, Berkeley · USAlbert Einstein College of Medicine · US

Funding

Tools For Imaging the Functional Genome in Living Cells and TissuesU01EB021236 · NIBIB · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI DARZACQ, XAVIER, SINGER, ROBERT H · 2015 to 2017
$2.5M
NIBIB NIH HHS U01 EB021236
6 · The paper itself

Abstract

Transcription, the first step of gene expression, is exquisitely regulated in higher eukaryotes to ensure correct development and homeostasis. Traditional biochemical, genetic, and genomic approaches have proved successful at identifying factors, regulatory sequences, and potential pathways that modulate transcription. However, they typically only provide snapshots or population averages of the highly dynamic, stochastic biochemical processes involved in transcriptional regulation. Single-molecule live-cell imaging has, therefore, emerged as a complementary approach capable of circumventing these limitations. By observing sequences of molecular events in real time as they occur in their native context, imaging has the power to derive cause-and-effect relationships and quantitative kinetics to build predictive models of transcription. Ongoing progress in fluorescence imaging technology has brought new microscopes and labeling technologies that now make it possible to visualize and quantify the transcription process with single-molecule resolution in living cells and animals. Here we provide an overview of the evolution and current state of transcription imaging technologies. We discuss some of the important concepts they uncovered and present possible future developments that might solve long-standing questions in transcriptional regulation.

Indexed as

Optical ImagingSingle Molecule ImagingTranscription, GeneticAnimalsDrosophilaGene Expression RegulationIn Situ Hybridization, FluorescenceIntravital MicroscopyRNA, MessengerTranscription FactorsRNA, MessengerTranscription Factors

Identifiers

PMID26763984
PMCPMC4915995
OpenAlexW2260708522

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.