Evidence map›Paper›PMID 35432484›Full record

ArticleFrontiers in genetics2022

MOCA for Integrated Analysis of Gene Expression and Genetic Variation in Single Cells.

Jared Huzar, Hannah Kim, Sudhir Kumar, Sayaka Miura

Open access · goldAbstract read
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 2 countries.

Jared HuzarInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States.
Hannah KimInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States.
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States.
Sayaka MiuraInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States.
Temple University · USKing Abdulaziz University · SA

Funding

Bioinformatics of metastatic migration historiesR01LM013385 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI KUMAR, SUDHIR · 2020 to 2023
$1.4M
6 · The paper itself

Abstract

In cancer, somatic mutations occur continuously, causing cell populations to evolve. These somatic mutations result in the evolution of cellular gene expression patterns that can also change due to epigenetic modifications and environmental changes. By exploring the concordance of gene expression changes with molecular evolutionary trajectories of cells, we can examine the role of somatic variation on the evolution of gene expression patterns. We present Multi-Omics Concordance Analysis (MOCA) software to jointly analyze gene expressions and genetic variations from single-cell RNA sequencing profiles. MOCA outputs cells and genes showing convergent and divergent gene expression patterns in functional genomics.

Indexed as

cellular phylogenygene expression trajectorymulti-omics analysessingle-cell RNA sequencingtumor evolution

Identifiers

PMID35432484
PMCPMC9009314
OpenAlexW4221065541

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.