Evidence map›Paper›PMID 32743583›Full record

ArticlebioRxiv : the preprint server for biology2020

Progenitor identification and SARS-CoV-2 infection in long-term human distal lung organoid cultures.

Ameen A Salahudeen, Shannon S Choi, Arjun Rustagi, Junjie Zhu, Sean M de la O, Ryan A Flynn, Mar Margalef-Català, António J M Santos, Jihang Ju, Arpit Batish and 24 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. 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
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, 27 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors at 5 institutions in 1 country.

Ameen A SalahudeenORCID 0000-0001-9037-3481
Junjie Zhu
Mar Margalef-CatalàORCID 0000-0002-6259-4348
António J M Santos
Jihang Ju
Arpit Batish
Vincent van Unen
Caitlin E EdwardsORCID 0000-0003-4228-2192
Monica Nagendran
Khanh Nguyen
Daniel J Hart
Jessica M Terry
Phillip Belgrader
Solongo B Ziraldo
Tarjei S Mikkelsen
Jeffrey S Glenn
K Christopher Garcia
Mark M Davis
Ralph S Baric
Chiara Sabatti
Manuel R Amieva
Catherine A BlishORCID 0000-0001-6946-7627
Stanford University · US10X Genomics (United States) · USHoward Hughes Medical Institute · USUniversity of North Carolina at Chapel Hill · USChan Zuckerberg Initiative (United States) · US

Funding

Cellular and molecular mechanisms of alveolar repairR01HL167410 · NHLBI · STANFORD UNIVERSITY · PI Tushar Jasubhai DESAI · 2023 to 2026
$2.7M
Identifying niche factors regulating distinct properties of AT2 stem cellsR01HL142549 · NHLBI · STANFORD UNIVERSITY · PI DESAI, TUSHAR JASUBHAI · 2018 to 2021
$2.2M
Next-Generation Genomic Imaging TechnologyUG3HL145623 · NHLBI · STANFORD UNIVERSITY · PI DESAI, TUSHAR JASUBHAI, HARBURY, PEHR A · 2018 to 2019
$760k
NHLBI NIH HHS R01 HL142549NHLBI NIH HHS R01 HL167410
6 · The paper itself

Abstract

The distal lung contains terminal bronchioles and alveoli that facilitate gas exchange and is affected by disorders including interstitial lung disease, cancer, and SARS-CoV-2-associated COVID-19 pneumonia. Investigations of these localized pathologies have been hindered by a lack of 3D in vitro human distal lung culture systems. Further, human distal lung stem cell identification has been impaired by quiescence, anatomic divergence from mouse and lack of lineage tracing and clonogenic culture. Here, we developed robust feeder-free, chemically-defined culture of distal human lung progenitors as organoids derived clonally from single adult human alveolar epithelial type II (AT2) or

Identifiers

PMID32743583
PMCPMC7386503
OpenAlexW3044040393

What OpenQuestion holds

Textmetadata
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.