Evidence map›Paper›PMID 34160800›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Single-Cell RNAseq Analysis of lncRNAs.

Stefano Cagnin, Enrico Alessio, Raphael Severino Bonadio, Gabriele Sales

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Stefano CagninDepartment of Biology, University of Padova, Padova, Italy. stefano.cagnin@unipd.it.
Enrico AlessioDepartment of Biology, University of Padova, Padova, Italy.
Raphael Severino BonadioDepartment of Biology, University of Padova, Padova, Italy.
Gabriele SalesDepartment of Biology, University of Padova, Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammalian genomes are pervasively transcribed and a small fraction of RNAs produced codify for proteins. The importance of noncoding RNAs for the maintenance of cell functions is well known (e.g., rRNAs, tRNAs), but only recently it was first demonstrated the involvement of microRNAs (miRNAs) in posttranscriptional regulation and then the activity of long noncoding RNAs (lncRNAs) in the regulation of miRNAs, DNA structure and protein function. LncRNAs have an expression more cell specific than other RNAs and basing on their subcellular localization exert different functions. In this book chapter we consider different protocols to evaluate the expression of lncRNAs at the single cell level using genome-wide approaches. We considered the skeletal muscle as example because the most abundant tissue in mammals involved in the regulation of metabolism and body movement. We firstly described how to isolate the smallest complete contractile system responsible for muscle metabolic and contractile traits (myofibers). We considered how to separate long and short RNAs to allow the sequencing of the full-length transcript using the SMART technique for the retrotranscription. Because of myofibers are multinucleated cells and because of it is better to perform single cell sequencing on fresh tissues we described the single-nucleus sequencing that can be applied to frozen tissues. The chapter concludes with a description of bioinformatics approaches to evaluate differential expression from single-cell or single-nucleus RNA sequencing.

Indexed as

Computational BiologyGene Expression RegulationGene LibraryMicroRNAsMuscle Fibers, SkeletalPolyadenylationRNA, Long NoncodingRNA, MessengerRNA Processing, Post-TranscriptionalSequence Analysis, RNASingle-Cell AnalysisMicroRNAsRNA, Long NoncodingRNA, MessengerBioinformaticLong noncoding RNAMyofiberSingle-nucleus RNA sequencing

Identifiers

PMID34160800
OpenAlexW3173926499

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.