In one paragraphArticle in bioRxiv : the preprint server for biology, 2024. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
13 authors.
Veronica M AmusoDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0002-7640-3784 MaryEllen R HaasDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0001-6065-5779 Paula O CooperDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0001-9201-1855 Ranojoy ChatterjeeComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0002-9760-1069 Sana HafizDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0009-0005-4493-6163 Shatha SalamehDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0001-9624-4277 Chiraag GohelComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0003-4446-9380 Miguel F MazumderDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0003-1181-8118 Violet JosephsonDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0009-0001-3339-1461 Khatereh KhorsandiDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0001-6882-5031 Anelia HorvathDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0003-4117-013X Ali RahnavardComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0002-9710-0248 Brett A ShookDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0001-5740-2244 Funding
The role of GPR84 signaling during skin repairR01AR082417 · NIAMS · GEORGE WASHINGTON UNIVERSITY · PI BRETT SHOOK · 2023 to 2026
$1.8MNIAMS NIH HHS R01 AR082417
6 · The paper itselfAbstract
Epithelial and immune cells have long been appreciated for their contribution to the early immune response after injury; however, much less is known about the role of mesenchymal cells. Using single nuclei RNA-sequencing, we defined changes in gene expression associated with inflammation at 1-day post-wounding (dpw) in mouse skin. Compared to keratinocytes and myeloid cells, we detected enriched expression of pro-inflammatory genes in fibroblasts associated with deeper layers of the skin. In particular, SCA1+ fibroblasts were enriched for numerous chemokines, including CCL2, CCL7, and IL33 compared to SCA1- fibroblasts. Genetic deletion of
Indexed as
CCL2fibroblastmacrophagesingle nuclei RNA-sequencingwound healing
Identifiers
PMID39149286
PMCPMC11326280
What OpenQuestion holds
Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390