Evidence map›Paper›PMID 27140647›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Riches of phenotype computationally extracted from microbial colonies.

Tzu-Yu Liu, Anne E Dodson, Jonathan Terhorst, Yun S Song, Jasper Rine

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Nucleosome Positioning Regulates the Establishment, Stability, and Inheritance of Heterochromatin inProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. Article
  4. Pivotal roles of PCNA loading and unloading in heterochromatin function.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  5. Article
  6. 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.

Tzu-Yu LiuDepartment of Mathematics and Department of Biology, University of Pennsylvania, Philadelphia, PA 19104; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720;
Anne E DodsonDepartment of Molecular and Cell Biology and California Institute for Quantitative Biosciences, University of California, Berkeley, CA 94720;
Jonathan TerhorstDepartment of Statistics, University of California, Berkeley, CA 94720;
Yun S SongDepartment of Mathematics and Department of Biology, University of Pennsylvania, Philadelphia, PA 19104; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720; Department of Statistics, University of California, Berkeley, CA 94720; Department of Integrative Biology, University of California, Berkeley, CA 94720 jrine@berkeley.edu yss@berkeley.edu.
Jasper RineDepartment of Molecular and Cell Biology and California Institute for Quantitative Biosciences, University of California, Berkeley, CA 94720; jrine@berkeley.edu yss@berkeley.edu.

Funding

GENETIC ANALYSIS OF THE GENES CONTROLLING A POSITIONR01GM031105 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RINE, JASPER D · 1985 to 2020
$6.4M
GENETIC ANALYSIS OF GENES CONTROLLING A POSITION EFFECTR37GM031105 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RINE, JASPER D · 1999 to 2008
$3.5M
NIGMS NIH HHS R01 GM031105NIGMS NIH HHS R37 GM031105
6 · The paper itself

Abstract

The genetic, epigenetic, and physiological differences among cells in clonal microbial colonies are underexplored opportunities for discovery. A recently developed genetic assay reveals that transient losses of heterochromatic repression, a heritable form of gene silencing, occur throughout the growth of Saccharomyces colonies. This assay requires analyzing two-color fluorescence patterns in yeast colonies, which is qualitatively appealing but quantitatively challenging. In this paper, we developed a suite of automated image processing, visualization, and classification algorithms (MORPHE) that facilitated the analysis of heterochromatin dynamics in the context of colonial growth and that can be broadly adapted to many colony-based assays in Saccharomyces and other microbes. Using the features that were automatically extracted from fluorescence images, our classification method distinguished loss-of-silencing patterns between mutants and wild type with unprecedented precision. Application of MORPHE revealed subtle but significant differences in the stability of heterochromatic repression between various environmental conditions, revealed that haploid cells experienced higher rates of silencing loss than diploids, and uncovered the unexpected contribution of a sirtuin to heterochromatin dynamics.

Indexed as

AlgorithmsBiological AssayGene Expression Regulation, FungalGene SilencingGenes, ReporterGreen Fluorescent ProteinsImage Processing, Computer-AssistedPhenotypeSaccharomyces cerevisiaeGreen Fluorescent Proteinsepigeneticsfeature extractionheterochromatin dynamicsimage segmentation

Identifiers

PMID27140647
PMCPMC4878510

What OpenQuestion holds

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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.