Evidence map›Paper›PMID 34786476›Full record

ArticleMolecular therapy oncolytics2021

Single-cell RNA sequencing reveals a strong connection between

Divya Ravirala, Guangsheng Pei, Zhongming Zhao, Xiaoliu Zhang

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy oncolytics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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 1 country.

Divya RaviralaCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA.
Guangsheng PeiCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Xiaoliu ZhangCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA.
The University of Texas Health Science Center at Houston · USUniversity of Houston · US

Funding

Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Actively engaging NK cells during virotherapy to induce neoantigen-specific antitumor immunityR01CA269002 · NCI · UNIVERSITY OF HOUSTON · PI SHAUN XIAOLIU ZHANG · 2022 to 2026
$1.9M
Novel Strategies to Potentiate a Ras-targeted Oncolytic Herpes Simplex VirusR01CA187923 · NCI · UNIVERSITY OF HOUSTON · PI ZHANG, SHAUN XIAOLIU · 2015 to 2019
$1.7M
NCI NIH HHS R01 CA187923NCI NIH HHS R01 CA269002NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

The oncolytic effect of virotherapy derives from the intrinsic capability of the applied virus in selectively infecting and killing tumor cells. Although oncolytic viruses of various constructions have been shown to efficiently infect and kill tumor cells

Indexed as

Gadd45goncolytic herpes simplex virusoncolytic virotherapysingle-cell RNA sequencingtumor microenvironment

Identifiers

PMID34786476
PMCPMC8573104
OpenAlexW3206896574

What Socratic 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 Socratic graph.