Evidence map›Paper›PMID 38518223›Full record

ArticleGenetics2024

Expanding TheCellVision.org: a central repository for visualizing and mining high-content cell imaging projects.

Myra Paz David Masinas, Athanasios Litsios, Anastasia Razdaibiedina, Matej Usaj, Charles Boone, Brenda J Andrews

Open access · hybridAbstract read
In one paragraph

Article in Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Myra Paz David MasinasThe Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Athanasios LitsiosThe Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Anastasia RazdaibiedinaThe Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Matej UsajThe Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Charles BooneThe Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.ORCID 0000-0002-3542-6760
Brenda J AndrewsThe Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.ORCID 0000-0001-6427-6493
University of Toronto · CA

Funding

Mapping the reference genetic network of a eukaryotic cellR01HG005853 · NHGRI · UNIVERSITY OF TORONTO · PI ANDREWS, BRENDA JEAN, BOONE, CHARLES · 2010 to 2025
$7.6M
CIHR PJT-180259NHGRI NIH HHS R01 HG005853NIH HHS R01HG005853
6 · The paper itself

Abstract

We previously constructed TheCellVision.org, a central repository for visualizing and mining data from yeast high-content imaging projects. At its inception, TheCellVision.org housed two high-content screening (HCS) projects providing genome-scale protein abundance and localization information for the budding yeast Saccharomyces cerevisiae, as well as a comprehensive analysis of the morphology of its endocytic compartments upon systematic genetic perturbation of each yeast gene. Here, we report on the expansion of TheCellVision.org by the addition of two new HCS projects and the incorporation of new global functionalities. Specifically, TheCellVision.org now hosts images from the Cell Cycle Omics project, which describes genome-scale cell cycle-resolved dynamics in protein localization, protein concentration, gene expression, and translational efficiency in budding yeast. Moreover, it hosts PIFiA, a computational tool for image-based predictions of protein functional annotations. Across all its projects, TheCellVision.org now houses >800,000 microscopy images along with computational tools for exploring both the images and their associated datasets. Together with the newly added global functionalities, which include the ability to query genes in any of the hosted projects using either yeast or human gene names, TheCellVision.org provides an expanding resource for single-cell eukaryotic biology.

Indexed as

Data MiningSaccharomyces cerevisiaeCell CycleSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiae ProteinsCell Cycle Omicscell visionhigh-content screeningimage analysis toolsPIFiAprotein abundancequantitative image analysissubcellular localizationsubcellular morphologyTheCellVision.org

Identifiers

PMID38518223
PMCPMC11075560
OpenAlexW4393095488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.