Evidence map›Paper›PMID 34485938›Full record

ArticleSTAR protocols2021

Construction of transcriptional regulatory networks using total RNA-seq data.

Philippe Chouvarine, Georg Hansmann

Abstract read
In one paragraph

Article in STAR protocols, 2021. 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
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.

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

2 authors.

Philippe ChouvarineDepartment of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover 30625, Germany.
Georg HansmannDepartment of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover 30625, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Total RNA sequencing allows capturing of long non-coding and circular RNA along with mRNA. Additional sequencing of micro RNA (miRNA), using libraries with shorter fragments, provides the means to characterize miRNA-driven transcriptional regulation. Here, we present a protocol for processing total RNA and miRNA sequencing data to quantify circular RNA, long non-coding RNA, mRNA, and miRNA. Further, the protocol combines the quantification data with miRNA target annotation to construct likely transcriptional regulatory networks, which can be validated in the subsequent studies. For complete details on the use and execution of this protocol, please refer to Chouvarine et al. (2021).

Indexed as

Gene Regulatory NetworksComputational BiologyMicroRNAsRNA, CircularRNA, Long NoncodingSequence Analysis, RNAMicroRNAsRNA, CircularRNA, Long NoncodingBioinformaticsRNAseqSystems biology

Identifiers

PMID34485938
PMCPMC8403681

What OpenQuestion 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 OpenQuestion graph.