Evidence map›Paper›PMID 35796968›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Solid-Support Directional (SSD) RNA-Seq as a Companion Method to CLIP-Seq.

Abd-El Monsif Shawky, Mahmoud Dondeti, Zissimos Mourelatos, Anastasios Vourekas

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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, top 83% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Abd-El Monsif ShawkyDepartment of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.
Mahmoud DondetiDepartment of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.
Zissimos MourelatosDivision of Neuropathology, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Anastasios VourekasDepartment of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA. avourekas@lsu.edu.
Louisiana State University · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CLIP-Seq (Deep Sequencing after in vivo Crosslinking and Immunoprecipitation, HITS-CLIP) has emerged as a key method for the study of RNA-binding proteins (RBPs), as it can scrutinize the RNAs bound by an RBP in vivo, with minimum manipulation of biological samples. CLIP-Seq is best used to reveal changes of the RNA cargo of an RBP and differences on binding patterns of the bound RNAs in living cells in different genetic backgrounds or after experimental treatment, rather than simply identifying RNA species. It is therefore crucial that a reference of the steady state levels of the RNAs present in the samples used for the CLIP-Seq experiment is included in the bioinformatic analysis. A simple directional RNA-Seq method was developed that uses the same oligonucleotides and the same PCR amplification steps as our CLIP-Seq method, which therefore can be analyzed using the same bioinformatic pipeline as the CLIP-Seq data. This greatly simplifies and streamlines the analysis process, and at the same time reduces the chances of protocol-specific artifacts and biases interfering with data interpretation. Some considerations on ways to integrate CLIP-Seq and RNA-Seq analyses are also provided herein.

Indexed as

Chromatin Immunoprecipitation SequencingHigh-Throughput Nucleotide SequencingBinding SitesImmunoprecipitationRNARNA-SeqSequence Analysis, RNARNAArgonautecDNACLIP-SeqDirectionalHITS-CLIPIlluminaNext generation sequencingPiwiPosttranscriptional RNA processingRibonucleoprotein complexesRNA-binding proteinRNA-IPRNA-SeqStrandedStrand-specificTranscriptomic analysis

Identifiers

PMID35796968
OpenAlexW4285048555

What OpenQuestion holds

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Registered trials

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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.