Evidence map›Paper›PMID 22154220›Full record

ReviewCurrent opinion in biotechnology2012

Recent advances in single-cell studies of gene regulation.

Jangir Selimkhanov, Jeff Hasty, Lev S Tsimring

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Noise in biology.Reports on progress in physics. Physical Society (Great Britain) · 2014
    Review
  4. A new toolbox for assessing single cells.Annual review of chemical and biomolecular engineering · 2014
    Review
  5. 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

3 authors at 2 institutions in 1 country.

Jangir SelimkhanovDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Jeff Hasty
Lev S Tsimring
University of California, San Diego · USCenter for Systems Biology · US

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2010 to 2018
$23.3M
Engineered Gene Circuits for Basic Science and BiotechnologyR01GM069811 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, TSIMRING, LEV S · 2004 to 2025
$13.6M
Metabolic Control in a Dynamic EnvironmentR01GM079333 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M · 2007 to 2014
$3.3M
Delays and variability in single-cell NFkB signalingR01GM089976 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, HOFFMANN, ALEXANDER · 2010 to 2013
$2.0M
NIGMS NIH HHS P50 GM085764NIGMS NIH HHS P50-GM085764NIGMS NIH HHS R01 GM069811NIGMS NIH HHS R01 GM079333NIGMS NIH HHS R01 GM089976NIGMS NIH HHS R01-GM089976NIGMS NIH HHS R01-GM69811
6 · The paper itself

Abstract

A mechanistic understanding of gene regulatory network dynamics requires quantitative single-cell data of multiple network components in response to well-defined perturbations. Recent advances in the development of fluorescent biomarkers for proteins, detection of RNA and interactions, microfluidic technology, and high-resolution imaging have set the stage for a host of new studies that elucidate the important roles of stochasticity and cell-cell variability in response to external perturbations. In this review, we briefly describe methods for high-resolution visualization and the control of gene expression, along with application of these novel methods to recent studies involving gene networks.

Indexed as

Gene Regulatory NetworksAnimalsBacteriaGene Expression RegulationHumansMolecular ImagingSingle-Cell Analysis

Identifiers

PMID22154220
PMCPMC3273644
OpenAlexW2137012440

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.