Evidence map›Paper›PMID 25747591›Full record

ReviewAnnual review of biophysics2015

Single-Cell Physiology.

Sattar Taheri-Araghi, Steven D Brown, John T Sauls, Dustin B McIntosh, Suckjoon Jun

Open access · greenAbstract readReview
In one paragraph

Review in Annual review of biophysics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 82 citations in OpenAlex.

  1. Emergent Homeostasis and Degeneracy From Multi-Dimensional Attractors.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Review
  3. A Reaction-Diffusion Frame for Accessing Metabolic OAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Article
  5. Where the microbes aren't.FEMS microbiology reviews · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Creating Polyploid Escherichia Coli and Its Application in Efficient L-Threonine Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Recent functional insights into the magic role of (p)ppGpp in growth control.Computational and structural biotechnology journal · 2023
    Review
  16. Review
  17. Microfluidic Single-Cell Analytics.Advances in biochemical engineering/biotechnology · 2022
    Article
  18. Article
  19. Review
  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

5 authors at 1 institution in 1 country.

Sattar Taheri-AraghiDepartment of Physics.
Steven D Brown
John T Sauls
Dustin B McIntosh
Suckjoon Jun
University of California, San Diego · US

Funding

GRADUATE TRAINING PROGRAM IN BIONFORMATICST32GM008806 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET, REN, BING · 2001 to 2020
$6.2M
NIGMS NIH HHS T32 GM008806
6 · The paper itself

Abstract

Single-cell techniques have a long history of unveiling fundamental paradigms in biology. Recent improvements in the throughput, resolution, and availability of microfluidics, computational power, and genetically encoded fluorescence have led to a modern renaissance in microbial physiology. This resurgence in research activity has offered new perspectives on physiological processes such as growth, cell cycle, and cell size of model organisms such as Escherichia coli. We expect these single-cell techniques, coupled with the molecular revolution of biology's recent half-century, to continue illuminating unforeseen processes and patterns in microorganisms, the bedrock of biological science. In this article we review major open questions in single-cell physiology, provide a brief introduction to the techniques for scientists of diverse backgrounds, and highlight some pervasive issues and their solutions.

Indexed as

AnimalsCell Physiological PhenomenaEscherichia coliMicrofluidicsSingle-Cell Analysiscell cyclegrowthmicrobiologymicrofluidicsquantitative biologysystems biology

Identifiers

PMID25747591
PMCPMC5672912
OpenAlexW2159762439

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.