Evidence map›Paper›PMID 38505116›Full record

ReviewReviews in aquaculture2023

Single cell genomics as a transformative approach for aquaculture research and innovation.

Rose Ruiz Daniels, Richard S Taylor, Diego Robledo, Daniel J Macqueen

Open access · hybridAbstract readReview
In one paragraph

Review in Reviews in aquaculture, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 36 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Rose Ruiz DanielsThe Roslin Institute and Royal (Dick) School of Veterinary Studies The University of Edinburgh Midlothian UK.ORCID https://orcid.org/0000-0002-6702-5304
Richard S TaylorThe Roslin Institute and Royal (Dick) School of Veterinary Studies The University of Edinburgh Midlothian UK.
Diego RobledoThe Roslin Institute and Royal (Dick) School of Veterinary Studies The University of Edinburgh Midlothian UK.ORCID https://orcid.org/0000-0002-9616-5912
Daniel J MacqueenThe Roslin Institute and Royal (Dick) School of Veterinary Studies The University of Edinburgh Midlothian UK.ORCID https://orcid.org/0000-0001-8050-7722
Roslin Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single cell genomics encompasses a suite of rapidly maturing technologies that measure the molecular profiles of individual cells within target samples. These approaches provide a large up-step in biological information compared to long-established 'bulk' methods that profile the average molecular profiles of all cells in a sample, and have led to transformative advances in understanding of cellular biology, particularly in humans and model organisms. The application of single cell genomics is fast expanding to non-model taxa, including aquaculture species, where numerous research applications are underway with many more envisaged. In this review, we highlight the potential transformative applications of single cell genomics in aquaculture research, considering barriers and potential solutions to the broad uptake of these technologies. Focusing on single cell transcriptomics, we outline considerations for experimental design, including the essential requirement to obtain high quality cells/nuclei for sequencing in ectothermic aquatic species. We further outline data analysis and bioinformatics considerations, tailored to studies with the under-characterized genomes of aquaculture species, where our knowledge of cellular heterogeneity and cell marker genes is immature. Overall, this review offers a useful source of knowledge for researchers aiming to apply single cell genomics to address biological challenges faced by the global aquaculture sector though an improved understanding of cell biology.

Indexed as

aquaculturebioinformatic pipelinescell isolationnuclei isolationsingle cell genomicstransformative applications

Identifiers

PMID38505116
PMCPMC10946576
OpenAlexW4323365004

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.