An improved reference library and method for accurate cell-type deconvolution of bulk-tissue miRNA data
Abstract MicroRNAs (miRNAs) play key roles in development and disease, and have great biomarker potential. However, because miRNA expression is highly cell-type specific, identifying miRNA biomarkers from complex tissues is hampered by the underlying cell-type heterogeneity. Due to that current sing...
Saved in:
| Main Authors: | Shaoying Zhu, Hui Yang, Jun Liu, Qingsheng Fu, Wei Huang, Qi Chen, Andrew E. Teschendorff, Yungang He, Zhen Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-60521-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Stable Reference miRNAs for miRNA Expression Analysis in Adult Neurogenesis Across Mouse and Human Tissues
by: Daniella Liana Levitis, et al.
Published: (2024-12-01) -
An augmented GSNMF model for complete deconvolution of bulk RNA-seq data
by: Shaoyu Li, et al.
Published: (2025-03-01) -
Missing cell types in single-cell references impact deconvolution of bulk data but are detectable
by: Adriana Ivich, et al.
Published: (2025-04-01) -
Sensitivity of miRNA-181a, miRNA-23b and miRNA-16 in the Late-Onset Neonatal Sepsis: A Diagnostic Study
by: Yang Pan, et al.
Published: (2024-10-01) -
Serum miRNA-186-3P and miRNA-382-3P constitute a novel Diagnostic miRNA signature for palindromic rheumatism
by: Fangfang Yuan, et al.
Published: (2025-03-01)