Filtering cells with high mitochondrial content depletes viable metabolically altered malignant cell populations in cancer single-cell studies
Abstract Background Single-cell transcriptomics has transformed our understanding of cellular diversity, yet noise from technical artifacts and low-quality cells can obscure key biological signals. A common practice is filtering out cells with a high percentage of mitochondrial RNA counts (pctMT), t...
Saved in:
| Main Authors: | Josephine Yates, Agnieszka Kraft, Valentina Boeva |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
|
| Series: | Genome Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13059-025-03559-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Alterations in mitochondrial base editors enhance targeted editing efficiency for mouse model generation
by: Seongho Hong, et al.
Published: (2025-09-01) -
Clinical significance of altered expression of mitochondrial genome-derived LncRNA LIPCAR in colorectal cancer
by: Seyed Taha Nourbakhsh, et al.
Published: (2025-09-01) -
Mesangial cell-derived CircRNAs in chronic glomerulonephritis: RNA sequencing and bioinformatics analysis
by: Ji Hui Fan, et al.
Published: (2024-12-01) -
Protocol for deep-learning-driven cell type label transfer in single-cell RNA sequencing data
by: Zoe Zabetian, et al.
Published: (2025-06-01) -
Renal Single-Cell RNA Sequencing and Digital Cytometry in Dogs with X-Linked Hereditary Nephropathy
by: Candice P. Chu, et al.
Published: (2025-07-01)