Evidence map›Paper›PMID 36945177›Full record

ArticleCell cycle (Georgetown, Tex.)2023

Downregulation of lncRNA

Sanchit Gandhi, Ashish Bhushan, Unmesh Shukla, Amit Pundir, Sanjeev Singh, Tapasya Srivastava

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

Article in Cell cycle (Georgetown, Tex.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

6 authors at 1 institution in 1 country.

Sanchit GandhiDepartment of Genetics, University of Delhi South Campus, New Delhi, India.
Ashish BhushanDepartment of Genetics, University of Delhi South Campus, New Delhi, India.
Unmesh ShuklaInstitute of Informatics and Communication, University of Delhi South Campus, New Delhi, India.
Amit PundirDepartment of Electronics, Maharaja Agrasen College, University of Delhi, Delhi, India.
Sanjeev SinghInstitute of Informatics and Communication, University of Delhi South Campus, New Delhi, India.
Tapasya SrivastavaDepartment of Genetics, University of Delhi South Campus, New Delhi, India.
University of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are brain tumors associated with high morbidity, relapse and lethality despite improvement in therapeutic regimes. The hypoxic tumor microenvironment is a key feature associated with such poor outcomes in gliomas. The Hypoxia Inducible Factor (HIF) family of transcription factors are master regulators of cellular proliferation, high metabolic rates and angiogenesis via aberrant expression of downstream genes. Recent studies have implicated long non-coding RNAs (lncRNAs) as potential prognostic and diagnostic biomarkers. In this study, identification of hypoxia regulated lncRNA with a bioinformatic pipeline consisting of a newly developed tool "GenOx" was utilized for the identification of Hypoxia Response Element (HRE) and Hypoxia Ancillary Sequence (HAS) motifs in the promoter regions of lncRNAs. This was coupled with molecular, functional and interactome-based analyses of these hypoxia-relevant lncRNAs in primary tumors and cell-line models. We report on the identification of novel hypoxia regulated lncRNAs

Indexed as

GliomaRNA, Long NoncodingBiomarkersDown-RegulationGene Expression Regulation, NeoplasticHumansHypoxiaTumor MicroenvironmentBiomarkersRNA, Long Noncodinggliomaglioma stem cellshypoxiaLncRNARNA splicingSNHG1

Identifiers

PMID36945177
PMCPMC10081076
OpenAlexW4353017573

What OpenQuestion holds

Textmetadata
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.