Evidence map›Paper›PMID 22375630›Full record

ArticleBMC genomics2012

RNA-Seq quantification of the human small airway epithelium transcriptome.

Neil R Hackett, Marcus W Butler, Renat Shaykhiev, Jacqueline Salit, Larsson Omberg, Juan L Rodriguez-Flores, Jason G Mezey, Yael Strulovici-Barel, Guoqing Wang, Lukas Didon and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

80 citing papers in PubMed, 122 citations in OpenAlex.

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  6. scFocus: Detecting branching probabilities in single-cell data with SAC.Computational and structural biotechnology journal · 2025
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  11. A Single-Cell Atlas of Large and Small Airways at Birth in a Porcine Model of Cystic Fibrosis.American journal of respiratory cell and molecular biology · 2022
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  14. High-Quality Genome Assembly ofFrontiers in plant science · 2022
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20 more citing papers are in PubMed but not listed here.

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

11 authors at 1 institution in 1 country.

Neil R HackettDepartment of Genetic Medicine, Weill Cornell Medical College, New York, New York, USA. nhackett@med.cornell.edu
Marcus W Butler
Renat Shaykhiev
Jacqueline Salit
Larsson Omberg
Juan L Rodriguez-Flores
Jason G Mezey
Yael Strulovici-Barel
Guoqing Wang
Lukas Didon
Ronald G Crystal
Cornell University · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024996 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2007 to 2011
$49.6M
Role of Alveolar Macrophages in the Accelerated Emphysema of HIV-1 PositiveP50HL084936 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CRYSTAL, RONALD G · 2007 to 2011
$14.2M
Pulmonary Genetic Medicine Training ProgramT32HL094284 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CRYSTAL, RONALD G · 2009 to 2019
$3.0M
NCRR NIH HHS UL1-RR024996NHLBI NIH HHS 1T32HL094284NHLBI NIH HHS P50 HL084936
6 · The paper itself

Abstract

backgroundThe small airway epithelium (SAE), the cell population that covers the human airway surface from the 6th generation of airway branching to the alveoli, is the major site of lung disease caused by smoking. The focus of this study is to provide quantitative assessment of the SAE transcriptome in the resting state and in response to chronic cigarette smoking using massive parallel mRNA sequencing (RNA-Seq).

resultsThe data demonstrate that 48% of SAE expressed genes are ubiquitous, shared with many tissues, with 52% enriched in this cell population. The most highly expressed gene, SCGB1A1, is characteristic of Clara cells, the cell type unique to the human SAE. Among other genes expressed by the SAE are those related to Clara cell differentiation, secretory mucosal defense, and mucociliary differentiation. The high sensitivity of RNA-Seq permitted quantification of gene expression related to infrequent cell populations such as neuroendocrine cells and epithelial stem/progenitor cells. Quantification of the absolute smoking-induced changes in SAE gene expression revealed that, compared to ubiquitous genes, more SAE-enriched genes responded to smoking with up-regulation, and those with the highest basal expression levels showed most dramatic changes. Smoking had no effect on SAE gene splicing, but was associated with a shift in molecular pattern from Clara cell-associated towards the mucus-secreting cell differentiation pathway with multiple features of cancer-associated molecular phenotype.

conclusionsThese observations provide insights into the unique biology of human SAE by providing quantitative assessment of the global transcriptome under physiological conditions and in response to the stress of chronic cigarette smoking.

Indexed as

Gene Expression ProfilingTranscriptomeAlternative SplicingHumansMaleMolecular Sequence AnnotationMultigene FamilyOrgan SpecificityRespiratory MucosaSequence Analysis, RNASmokingUbiquitination

Identifiers

PMID22375630
PMCPMC3337229
OpenAlexW2027745840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.