Evidence map›Paper›PMID 34395530›Full record

ReviewFrontiers in molecular biosciences2021

Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases.

Peixi Ying, Chang Huang, Yan Wang, Xi Guo, Yuchen Cao, Yuxi Zhang, Sheng Fu, Lin Chen, Guoguo Yi, Min Fu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
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

10 authors at 7 institutions in 1 country.

Peixi YingThe Second Clinical School, Southern Medical University, Guangzhou, China.
Chang HuangEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Yan WangDepartment of Ophthalmology, South China Hospital, Health Science Center, Shenzhen University, Shenzhen, China.
Xi GuoMedical College of Rehabiliation, Southern Medical University, Guangzhou, China.
Yuchen CaoThe Second Clinical School, Southern Medical University, Guangzhou, China.
Yuxi ZhangThe Second Clinical School, Southern Medical University, Guangzhou, China.
Sheng FuThe University of South China, Hengyang, China.
Lin ChenDepartment of Anesthesiology, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Guoguo YiDepartment of Ophthalmology, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Min FuDepartment of Ophthalmology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Southern Medical University · CNEye & ENT Hospital of Fudan University · CNShenzhen University Health Science Center · CNSouthern Medical University Shenzhen Hospital · CNSun Yat-sen University · CNUniversity of South China · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retina is composed of 11 types of cells, including neurons, glial cells and vascular bed cells. It contains five types of neurons, each with specific physiological, morphological, and molecular definitions. Currently, single-cell RNA sequencing (sRNA-seq) is emerging as one of the most powerful tools to reveal the complexity of the retina. The continuous discovery of retina-related gene targets plays an important role in helping us understand the nature of diseases. The revelation of new cell subpopulations can focus the occurrence and development of diseases on specific biological activities of specific cells. In addition, sRNA-seq performs high-throughput sequencing analysis of epigenetics, transcriptome and genome at the single-cell level, with the advantages of high-throughput and high-resolution. In this paper, we systematically review the development history of sRNA-seq technology, and summarize the new subtypes of retinal cells and some specific gene markers discovered by this technology. The progress in the diagnosis of retinal related diseases is also discussed.

Indexed as

generetinaretinal diseaseScRNA-seqsingle-cell RNA sequencing

Identifiers

PMID34395530
PMCPMC8362665
OpenAlexW3190749136

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.