Understanding isoform expression by pairing long-read sequencing with single-cell and spatial transcriptomics
Natan Belchikov, Justine Hsu, Xiang Jennie Li, Julien Jarroux, Wen Hu, Anoushka Joglekar, Hagen U Tilgner · 2024
Read Understanding isoform expression by pairing long-read sequencing with single-cell and spatial transcriptomics by Natan Belchikov, Justine Hsu, Xiang Jennie Li, Julien Jarroux, Wen Hu, Anoushka Joglekar, Hagen U Tilgner (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11610585.txt.
Description
Natan Belchikov and co-authors review new tools that read full-length gene messages in single cells and in tissue maps. Their 2024 paper deals with isoforms, the varied forms one gene can take through splicing and choice of start or tail sites. Each form can change the protein a cell makes. Short-read methods map which genes are on in each cell but blur which form is used, since they read only snips.
Long-read methods read whole messages and can now pair with single-cell and spatial tools. The review sorts the hurdles in running them and in reading their data. It shows how they have traced form roles in growth and disease, and flags the case of single nuclei.
Catalog record
| CREATOR | Natan Belchikov, Justine Hsu, Xiang Jennie Li, Julien Jarroux, Wen Hu, Anoushka Joglekar, Hagen U Tilgner |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |