Evidence map›Paper›PMID 36630696›Full record

ArticleFrontiers in genetics2022

Integration of Single-Cell Transcriptomics With a High Throughput Functional Screening Assay to Resolve Cell Type, Growth Kinetics, and Stemness Heterogeneity Within the Comma-1D Cell Line.

Arpit Dave, Erin Nekritz, Daniel Charytonowicz, Michael Beaumont, Melissa Smith, Kristin Beaumont, Jose Silva, Robert Sebra

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2022. 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
–field-weighted citation impact, top 94% 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, 0 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

8 authors at 4 institutions in 1 country.

Arpit DaveDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Erin NekritzDepartment of Pathology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, United States.
Daniel CharytonowiczDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Michael BeaumontDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Melissa SmithDepartment of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, United States.
Kristin BeaumontDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Jose SilvaDepartment of Pathology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, United States.
Robert SebraDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Icahn School of Medicine at Mount Sinai · USMount Sinai Hospital · USSema4 (United States) · USUniversity of Louisville · US

Funding

Skin Biology and Diseases Resource-based Center at Mount SinaiP30AR079200 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Elena Ezhkova · 2021 to 2026
$5.2M
Defining and targeting the lung cancer progenitor cell niche using a high-resolution, multi-omics approachF30CA265288 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARYTONOWICZ, DANIEL · 2021 to 2025
$198k
NCI NIH HHS F30 CA265288NIAMS NIH HHS P30 AR079200
6 · The paper itself

Abstract

Cell lines are one of the most frequently implemented model systems in life sciences research as they provide reproducible high throughput testing. Differentiation of cell cultures varies by line and, in some cases, can result in functional modifications within a population. Although research is increasingly dependent on these

Indexed as

Comma-1DFunctional AssayHigh throughputMammary DevelopmentMouse Cell LinescRNASeq

Identifiers

PMID36630696
PMCPMC9237515
OpenAlexW4282934669

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.