Evidence map›Paper›PMID 36522411›Full record

ArticleScientific reports2022

An optimized method for high-quality RNA extraction from distinctive intrinsic laryngeal muscles in the rat model.

Angela M Kemfack, Ignacio Hernandez-Morato, Yalda Moayedi, Michael J Pitman

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

4 authors.

Angela M KemfackDepartment of Otolaryngology-Head & Neck Surgery, Columbia University College of Physicians and Surgeons, New York, NY, 10032, USA.
Ignacio Hernandez-MoratoDepartment of Otolaryngology-Head & Neck Surgery, Columbia University College of Physicians and Surgeons, New York, NY, 10032, USA. ih2302@cumc.columbia.edu.
Yalda MoayediDepartment of Otolaryngology-Head & Neck Surgery, Columbia University College of Physicians and Surgeons, New York, NY, 10032, USA.
Michael J PitmanDepartment of Otolaryngology-Head & Neck Surgery, Columbia University College of Physicians and Surgeons, New York, NY, 10032, USA.

Funding

MECHANISMS OF AXON GUIDANCE IN LARYNGEAL REINNERVATION FOLLOWING INJURY OF THE RECURRENT LARYNGEAL NERVER01DC018060 · NIDCD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PITMAN, MICHAEL · 2019 to 2023
$3.3M
NIDCD NIH HHS R01 DC018060
6 · The paper itself

Abstract

Challenges related to high-quality RNA extraction from post-mortem tissue have limited RNA-sequencing (RNA-seq) application in certain skeletal muscle groups, including the intrinsic laryngeal muscles (ILMs). The present study identified critical factors contributing to substandard RNA extraction from the ILMs and established a suitable method that permitted high-throughput analysis. Here, standard techniques for tissue processing were adapted, and an effective means to control confounding effects during specimen preparation was determined. The experimental procedure consistently provided sufficient intact total RNA (N = 68) and RIN ranging between 7.0 and 8.6, which was unprecedented using standard RNA purification protocols. This study confirmed the reproducibility of the workflow through repeated trials at different postnatal time points and across the distinctive ILMs. High-throughput diagnostics from 90 RNA samples indicated no sequencing alignment scores below 70%, validating the extraction strategy. Significant differences between the standard and experimental conditions suggest circumvented challenges and broad applicability to other skeletal muscles. This investigation remains ongoing given the prospect of therapeutic insights to voice, swallowing, and airway disorders. The present methodology supports pioneering global transcriptome investigations in the larynx previously unfounded in literature.

Indexed as

Laryngeal MusclesMuscle, SkeletalAnimalsRatsReproducibility of ResultsRNASequence Analysis, RNARNA

Identifiers

PMID36522411
PMCPMC9755529

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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.