Evidence map›Paper›PMID 34646272›Full record

ArticleFrontiers in immunology2021

Full-Length Transcriptome: A Reliable Alternative for Single-Cell RNA-Seq Analysis in the Spleen of Teleost Without Reference Genome.

Lixing Huang, Ying Qiao, Wei Xu, Linfeng Gong, Rongchao He, Weilu Qi, Qiancheng Gao, Hongyan Cai, Hans-Peter Grossart, Qingpi Yan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. A Single-Cell Atlas of Crab Ovary Provides New Insights Into Oogenesis in Crustaceans.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. Review
  7. Slc43a2Science China. Life sciences · 2024
    Article
  8. Article
  9. Article
  10. Effect of Ferredoxin Receptor FusA on the Virulence Mechanism ofFrontiers in cellular and infection microbiology · 2022
    Article
  11. 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 5 institutions in 2 countries.

Lixing HuangFisheries College, Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Jimei University, Xiamen, China.
Ying QiaoFourth Institute of Oceanography, Ministry of Natural Resources, Beihai, China.
Wei XuThird Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Linfeng GongThird Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Rongchao HeFisheries College, Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Jimei University, Xiamen, China.
Weilu QiFisheries College, Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Jimei University, Xiamen, China.
Qiancheng GaoFisheries College, Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Jimei University, Xiamen, China.
Hongyan CaiFisheries College, Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Jimei University, Xiamen, China.
Hans-Peter GrossartDepartment of Experimental Limnology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Stechlin, Germany.
Qingpi YanFisheries College, Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture, Jimei University, Xiamen, China.
Jimei University · CNFujian Institute of Oceanography · CNGuangxi Institute of Oceanography · CNLeibniz Institute of Freshwater Ecology and Inland Fisheries · DEMinistry of Natural Resources · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish is considered as a supreme model for clarifying the evolution and regulatory mechanism of vertebrate immunity. However, the knowledge of distinct immune cell populations in fish is still limited, and further development of techniques advancing the identification of fish immune cell populations and their functions are required. Single cell RNA-seq (scRNA-seq) has provided a new approach for effective in-depth identification and characterization of cell subpopulations. Current approaches for scRNA-seq data analysis usually rely on comparison with a reference genome and hence are not suited for samples without any reference genome, which is currently very common in fish research. Here, we present an alternative, i.e. scRNA-seq data analysis with a full-length transcriptome as a reference, and evaluate this approach on samples from

Indexed as

Gene Expression ProfilingRNA-SeqSingle-Cell AnalysisTranscriptomeAnimalsB-Lymphocyte SubsetsCluster AnalysisFish ProteinsMacrophagesMonocytesPerciformesPhenotypeSpleenT-Lymphocyte SubsetsFish Proteinsfull-length transcriptomeimmune cell populationinfectionscRNA-seqteleost

Identifiers

PMID34646272
PMCPMC8502891
OpenAlexW3202522248

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.