2022
DOI: 10.3389/fmars.2022.906267
|View full text |Cite
|
Sign up to set email alerts
|

Single-Cell Sequencing on Marine Life: Application and Future Development

Abstract: Single-cell RNA-sequencing (scRNA-seq) is the genomic approach that directly examines gene expression information from individual cells and provides a higher resolution of cellular differences than bulk RNA-seq. In the past decade, with the rapid development of microfluid, barcoding, and next-generation sequencing (NGS) technologies, scRNA-seq has revolutionized transcriptomic studies and gained great success and broad prospects. However, compared with the wide use in the few model animals, the application of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 85 publications
0
2
0
Order By: Relevance
“…In particular, this is true because analysis processing via deep learning algorithms is quickly advancing , and the development of user-friendly and freely accessible pipelines from droplet image analysis is robust. Making droplet emulsion generation quick and simple, moreover, especially correlates with the current trend seen in the field of nucleic acid detection. The focus is shifting toward not only high-resolution single-cell analysis ,, but also rapid and easy to use diagnostic and monitoring tools. ,,, Nevertheless, when addressing detection of extremely small molecules in complex matrices (e.g., neurotransmitters and electrolytes), options are restrictive due to current scientific technological limitations. Often such target detection currently still requires very specific labels and/or specific complex experimental setups with costly hardware. ,,, There is, however, no doubt that droplet emulsion methods provide prospective workflows and labeling options.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In particular, this is true because analysis processing via deep learning algorithms is quickly advancing , and the development of user-friendly and freely accessible pipelines from droplet image analysis is robust. Making droplet emulsion generation quick and simple, moreover, especially correlates with the current trend seen in the field of nucleic acid detection. The focus is shifting toward not only high-resolution single-cell analysis ,, but also rapid and easy to use diagnostic and monitoring tools. ,,, Nevertheless, when addressing detection of extremely small molecules in complex matrices (e.g., neurotransmitters and electrolytes), options are restrictive due to current scientific technological limitations. Often such target detection currently still requires very specific labels and/or specific complex experimental setups with costly hardware. ,,, There is, however, no doubt that droplet emulsion methods provide prospective workflows and labeling options.…”
Section: Discussionmentioning
confidence: 99%
“… 73 75 Making droplet emulsion generation quick and simple, moreover, especially correlates with the current trend seen in the field of nucleic acid detection. The focus is shifting toward not only high-resolution single-cell analysis 11 , 76 , 77 but also rapid and easy to use diagnostic and monitoring tools. 22 , 24 , 28 , 78 80 Nevertheless, when addressing detection of extremely small molecules in complex matrices (e.g., neurotransmitters and electrolytes), options are restrictive due to current scientific technological limitations.…”
Section: Discussionmentioning
confidence: 99%