Evidence map›Paper›PMID 30159409›Full record

ArticleNon-coding RNA research2016

Integrated analysis of dysregulated lncRNA expression in breast cancer cell identified by RNA-seq study.

Rashmi Tripathi, Apoorva Soni, Pritish Kumar Varadwaj

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Rashmi TripathiDepartment of Bioinformatics, Indian Institute of Information Technology, Allahabad, U.P, India.
Apoorva SoniDepartment of Molecular and Cellular Engineering, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad, U.P, India.
Pritish Kumar VaradwajDepartment of Bioinformatics, Indian Institute of Information Technology, Allahabad, U.P, India.
Indian Institute of Information Technology Allahabad · INSam Higginbottom Institute of Agriculture · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among all the sequencing techniques, RNA sequencing (RNA-seq) has galloped with pace adopting the profiling of transcriptomic data in almost every biological analytics area like gene regulation study, development biology and clinical research. Recently the discovery of differentially expressed genes across different conditions has outshone the barrier of genetic & epigenetic regulations. The present work identified and analyzed differentially expressed novel long non-coding RNAs (lncRNAs) for breast cancer. A complex computational pipeline was adopted for the study which includes analysis of 18498 differentially expressed genes with 4114 up-regulated and 3475 down-regulated transcripts. The overexpression of lnc-MTAP (

Indexed as

Breast cancerDifferentially expressed genesDysregulationLong non-coding RNAs (lncRNAs)RNA sequencingTranscriptomics

Identifiers

PMID30159409
PMCPMC6096410
OpenAlexW2523596405

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.