Evidence map›Paper›PMID 38415934›Full record

ArticleThe Laryngoscope2024

High-Resolution Profiling of Human Vocal Fold Cellular Landscapes With Single-Nuclei RNA Sequencing.

Benjamin M Laitman, Daniel Charytonowicz, Ashley J Zhu, Katie Lynch, Eleni A Varelas, Madeline Burton, Christina Andreou, Pragati Kore, Diana N Kirke, Ya-Wen Chen and 4 more

Open access · greenAbstract read
In one paragraph

Article in The Laryngoscope, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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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

14 authors at 1 institution in 1 country.

Benjamin M LaitmanDepartment of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.ORCID 0000-0002-9582-6088
Daniel CharytonowiczIcahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Ashley J ZhuIcahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Katie LynchIcahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Eleni A VarelasDepartment of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.ORCID 0000-0002-4814-4279
Madeline BurtonDepartment of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Christina AndreouDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Pragati KoreDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.ORCID 0000-0003-1877-5819
Diana N KirkeDepartment of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.ORCID 0000-0002-9289-3875
Ya-Wen ChenDepartment of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Kristin G BeaumontDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Robert SebraDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Eric M GendenDepartment of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.
Mark S CoureyDepartment of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A.ORCID 0000-0001-6885-2929
Icahn School of Medicine at Mount Sinai · US

Funding

Defining and targeting the lung cancer progenitor cell niche using a high-resolution, multi-omics approachF30CA265288 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARYTONOWICZ, DANIEL · 2021 to 2025
$198k
American Laryngological Association ALVRENCI NIH HHS F30 CA265288
6 · The paper itself

Abstract

introductionThe function of the vocal folds (VFs) is determined by the phenotype, abundance, and distribution of differentiated cells within specific microenvironments. Identifying this histologic framework is crucial in understanding laryngeal disease. A paucity of studies investigating VF cellular heterogeneity has been undertaken. Here, we examined the cellular landscape of human VFs by utilizing single-nuclei RNA-sequencing.

methodsNormal true VF tissue was excised from five patients undergoing pitch elevation surgery. Tissue was snap frozen in liquid nitrogen and subjected to cellular digestion and nuclear extraction. Nuclei were processed for single-nucleus sequencing using the 10X Genomics Chromium platform. Sequencing reads were assembled using cellranger and analyzed with the scanpy package in python.

resultsRNA sequencing revealed 18 global cell clusters. While many were of epithelial origin, expected cell types, such as fibroblasts, immune cells, muscle cells, and endothelial cells were present. Subcluster analysis defined unique epithelial, immune, and fibroblast subpopulations.

conclusionThis study evaluated the cellular heterogeneity of normal human VFs by utilizing single-nuclei RNA-sequencing. With further confirmation through additional spatial sequencing and microscopic imaging, a novel cellular map of the VFs may provide insight into new cellular targets for VF disease. LEVEL OF EVIDENCE: NA Laryngoscope, 134:3193-3200, 2024.

Indexed as

Sequence Analysis, RNAVocal CordsCell NucleusFemaleHumansMaleMiddle AgedSingle-Cell Analysiscellular architecturesingle nuclei RNA sequencingvocal fold

Identifiers

PMID38415934
PMCPMC12279057
OpenAlexW4392240718

What OpenQuestion holds

Textmetadata
LicenceTDM
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.