Evidence map›Paper›PMID 36711851›Full record

ArticlebioRxiv : the preprint server for biology2023

Genome-wide screens identify SEL1L as an intracellular rheostat controlling collagen turnover.

Michael Jeffrey Podolsky, Benjamin Kheyfets, Monika Pandey, Afaq Hameed Beigh, Christopher D Yang, Carlos Lizama Valenzuela, Ritwik Datta, Paul J Wolters, Michael McManus, Ling Qi and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Michael Jeffrey Podolsky
Benjamin Kheyfets
Monika Pandey
Afaq Hameed Beigh
Christopher D Yang
Carlos Lizama Valenzuela
Ritwik Datta
Paul J Wolters
Michael McManus
Ling Qi
Kamran Atabai
University of California, San Francisco · USCornell University · USUniversity of Michigan · US

Funding

Role of Endo180 Regulation in Tissue FibrosisK08HL145015 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI PODOLSKY, MICHAEL · 2019 to 2023
$853k
NHLBI NIH HHS K08 HL145015
6 · The paper itself

Abstract

Accumulating evidence has implicated impaired extracellular matrix (ECM) clearance as a key factor in fibrotic disease. Despite decades of research elucidating the effectors of ECM clearance, relatively little is understood regarding the upstream regulation of this process. Collagen is the most abundant constituent of normal and fibrotic ECM in mammalian tissues. Its catabolism occurs through extracellular proteolysis and cell-mediated uptake of collagen fragments for intracellular degradation. Given the paucity of information regarding the regulation of this latter process, we executed unbiased genome-wide screens to understand the molecular underpinnings of cell-mediated collagen clearance. Using this approach, we discovered a previously unappreciated mechanism through which collagen biosynthesis is sensed by cells internally and directly regulates clearance of extracellular collagen. The sensing mechanism is dependent on endoplasmic reticulum-resident protein SEL1L and occurs via a noncanonical function of SEL1L. This pathway functions as a homeostatic negative feedback loop that limits collagen accumulation in tissues. In human fibrotic lung disease, the induction of this collagen clearance pathway by collagen synthesis is impaired, thereby contributing to the pathological accumulation of collagen in lung tissue. Thus cell-autonomous, rheostatic collagen clearance is a previously unidentified pathway of tissue homeostasis.

Identifiers

PMID36711851
PMCPMC9882208
OpenAlexW4316192903

What OpenQuestion holds

Textmetadata
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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.