Evidence map›Paper›PMID 39512888›Full record

ArticleBio-protocol2024

Single Cell Isolation from Human Diabetic Fibrovascular Membranes for Single-Cell RNA Sequencing.

Katia Corano Scheri, Thomas Tedeschi, Amani A Fawzi

Abstract read
In one paragraph

Article in Bio-protocol, 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
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.

No citing paper in PubMed yet.

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

3 authors.

Katia Corano ScheriDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Thomas TedeschiDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Amani A FawziDepartment of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Funding

Exploring the angiogenesis-to-fibrosis transition in ischemic retinopathies RenewalR01EY030121 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Amani A Fawzi · 2020 to 2026
$2.9M
NEI NIH HHS R01 EY030121
6 · The paper itself

Abstract

Single-cell transcriptomic analyses have emerged as very powerful tools to query the gene expression changes at the single-cell level in physiological and pathological conditions. The quality of the analysis is heavily dependent on tissue digestion protocols, with the goal of preserving thousands of single live cells to submit to the subsequent processing steps and analysis. Multiple digestion protocols that use different enzymes to digest the tissues have been described. Harsh digestion can damage certain cell types, but this might be required to digest especially fibrotic tissue as in our experimental condition. In this paper, we summarize a collagenase type I digestion protocol for preparing the single-cell suspension from fibrovascular tissues surgically removed from patients with proliferative diabetic retinopathy (PDR) for single-cell RNA sequencing (scRNA-Seq) analyses. We also provide a detailed description of the data analysis that we implemented in a previously published study. Key features • Single-cell suspension from fibrovascular membranes isolated from PDR patients. • Single-cell RNA sequencing analyses performed using Seurat package in RStudio. • Trajectory analyses or pseudotime analyses to study the trajectory over (pseudo)time of specific cell types. • This protocol requires Illumina HiSEQ4000 instrument and knowledge of R and RStudio language for the analyses.

Indexed as

Fibrovascular membranesscRNA-SeqscRNA-Seq data analysisSequencingSurgical specimens

Identifiers

PMID39512888
PMCPMC11540046

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.