Cargando…
Performance of a scalable RNA extraction-free transcriptome profiling method for adherent cultured human cells
RNA sequencing enables high-content/high-complexity measurements in small molecule screens. Whereas the costs of DNA sequencing and RNA-seq library preparation have decreased consistently, RNA extraction remains a significant bottleneck to scalability. We evaluate the performance of a bulk RNA-seq l...
Autores principales: | Ghimire, Shreya, Stewart, Carley G., Thurman, Andrew L., Pezzulo, Alejandro A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484438/ https://www.ncbi.nlm.nih.gov/pubmed/34593905 http://dx.doi.org/10.1038/s41598-021-98912-x |
Ejemplares similares
-
Low-cost RNA extraction method for highly scalable transcriptome studies
por: Yoshino, Kanami, et al.
Publicado: (2020) -
FICTURE: Scalable segmentation-free analysis of submicron resolution spatial transcriptomics
por: Si, Yichen, et al.
Publicado: (2023) -
A high-throughput pipeline for scalable kit-free RNA extraction
por: Han, Ping, et al.
Publicado: (2021) -
3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling
por: Sholder, Gabriel, et al.
Publicado: (2020) -
Differential gene expression analysis for multi-subject single-cell RNA-sequencing studies with aggregateBioVar
por: Thurman, Andrew L, et al.
Publicado: (2021)