Evidence map›Paper›PMID 23566377›Full record

ArticleCurrent opinion in biotechnology2013

The details in the distributions: why and how to study phenotypic variability.

K A Geiler-Samerotte, C R Bauer, S Li, N Ziv, D Gresham, M L Siegal

Open access · greenAbstract read
In one paragraph

Article in Current opinion in biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
  2. Review
  3. SIEVEseq: unified differential expression, variability, and skewness analyses using RNA-Seq data.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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  15. Article
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  17. Article
  18. Variation and Variability inFrontiers in behavioral neuroscience · 2021
    Article
  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 1 institution in 1 country.

K A Geiler-SamerotteCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, USA.
C R Bauer
S Li
N Ziv
D Gresham
M L Siegal
New York University · US

Funding

Regulation of Quiescence in Eukaryotic CellsR01GM107466 · NIGMS · NEW YORK UNIVERSITY · PI GRESHAM, DAVID · 2013 to 2022
$3.0M
Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
Sources and consequences of phenotypic variation in complex regulatory networksR01GM086673 · NIGMS · NEW YORK UNIVERSITY · PI SIEGAL, MARK L · 2010 to 2013
$929k
The Role of Gene Expression Noise in Phenotypic HeterogeneityF32GM099373 · NIGMS · NEW YORK UNIVERSITY · PI BAUER, CHRISTOPHER R · 2012 to 2013
$106k
Reducing genetic buffering to identify QTLs that affect cell shape and growthF32GM103166 · NIGMS · NEW YORK UNIVERSITY · PI GEILER-SAMEROTTE, KERRY A · 2012 to 2013
$101k
NIGMS NIH HHS F32 GM099373NIGMS NIH HHS F32GM099373NIGMS NIH HHS F32 GM103166NIGMS NIH HHS F32GM103166NIGMS NIH HHS GM086673NIGMS NIH HHS GM097415NIGMS NIH HHS R01 GM086673NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R01 GM107466
6 · The paper itself

Abstract

Phenotypic variability is present even when genetic and environmental differences between cells are reduced to the greatest possible extent. For example, genetically identical bacteria display differing levels of resistance to antibiotics, clonal yeast populations demonstrate morphological and growth-rate heterogeneity, and mouse blastomeres from the same embryo have stochastic differences in gene expression. However, the distributions of phenotypes present among isogenic organisms are often overlooked; instead, many studies focus on population aggregates such as the mean. The details of these distributions are relevant to major questions in diverse fields, including the evolution of antimicrobial-drug and chemotherapy resistance. We review emerging experimental and statistical techniques that allow rigorous analysis of phenotypic variability and thereby may lead to advances across the biological sciences.

Indexed as

Genetic VariationPhenotypeAnimalsBacteriaGene ExpressionPlantsSaccharomyces cerevisiaeStochastic Processes

Identifiers

PMID23566377
PMCPMC3732567
OpenAlexW2088527879

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.