Evidence map›Paper›PMID 35896273›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2022

A pulmonologist's guide to perform and analyse cross-species single lung cell transcriptomics.

Peter Pennitz, Holger Kirsten, Vincent D Friedrich, Emanuel Wyler, Cengiz Goekeri, Benedikt Obermayer, Gitta A Heinz, Mir-Farzin Mashreghi, Maren Büttner, Jakob Trimpert and 10 more

Abstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Animal models for COVID-19 and tuberculosis.Frontiers in immunology · 2023
    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

20 authors.

Peter PennitzCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.ORCID https://orcid.org/0000-0002-8132-7237
Holger KirstenUniversity of Leipzig, Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig, Germany.
Vincent D FriedrichUniversity of Leipzig, Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig, Germany.
Emanuel WylerMax Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany.
Cengiz GoekeriCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.ORCID https://orcid.org/0000-0002-1616-4005
Benedikt ObermayerBerlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Unit Bioinformatics, Berlin, Germany.
Gitta A HeinzDeutsches Rheuma-Forschungszentrum Berlin (DRFZ), A Leibniz Institute, Therapeutic Gene Regulation, Berlin, Germany.
Mir-Farzin MashreghiDeutsches Rheuma-Forschungszentrum Berlin (DRFZ), A Leibniz Institute, Therapeutic Gene Regulation, Berlin, Germany.ORCID https://orcid.org/0000-0002-8015-6907
Maren BüttnerUniversity of Bonn, Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, Bonn, Germany.
Jakob TrimpertFreie Universität Berlin, Institute of Virology, Berlin, Germany.
Markus LandthalerMax Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany.
Norbert SuttorpCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.
Andreas C HockeCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.
Stefan HippenstielCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.
Mario TönniesHELIOS Clinic Emil von Behring, Department of Pneumology and Department of Thoracic Surgery, Chest Hospital Heckeshorn, Berlin, Germany.
Markus ScholzUniversity of Leipzig, Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig, Germany.
Wolfgang M KueblerCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Physiology, Berlin, Germany.
Martin WitzenrathCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.
Katja HoenzkeCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany.
Geraldine NouaillesCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany geraldine.nouailles@charite.de.ORCID https://orcid.org/0000-0003-1973-3119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell ribonucleic acid sequencing is becoming widely employed to study biological processes at a novel resolution depth. The ability to analyse transcriptomes of multiple heterogeneous cell types in parallel is especially valuable for cell-focused lung research where a variety of resident and recruited cells are essential for maintaining organ functionality. We compared the single-cell transcriptomes from publicly available and unpublished datasets of the lungs in six different species: human (

Indexed as

PulmonologistsTranscriptomeAnimalsBase SequenceChlorocebus aethiopsCricetinaeHumansLungMiceRatsSpecies SpecificitySwine

Identifiers

PMID35896273
PMCPMC9724811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.