scholarly journals Immunotherapy of cancer in single-cell RNA sequencing era: A precision medicine perspective

2022 ◽  
Vol 146 ◽  
pp. 112558
Author(s):  
Nafiseh Erfanian ◽  
Afshin Derakhshani ◽  
Saeed Nasseri ◽  
Mohammad Fereidouni ◽  
Behzad Baradaran ◽  
...  
Keyword(s):  
Precision Medicine ◽  
Single Cell ◽  
Rna Sequencing ◽  
Single Cell Rna Sequencing ◽  
Immunotherapy Of Cancer

scholarly journals Cell type classification and discovery across diseases, technologies and tissues reveals conserved gene signatures and enables standardized single-cell readouts

2021 ◽  
Author(s):  
Mathew Chamberlain ◽  
Richa Hanamsagar ◽  
Frank O. Nestle ◽  
Emanuele de Rinaldis ◽  
Virginia Savova
Keyword(s):  
Precision Medicine ◽  
Single Cell ◽  
Rna Sequencing ◽  
Drug Targets ◽  
Sequencing Data ◽  
Candidate Drug ◽  
Machine Learning Approach ◽  
Single Cell Rna Sequencing ◽  
Conserved Gene ◽  
Cellular Phenotypes

ABSTRACTAutoimmune diseases are a major cause of mortality1,2. Current treatments often yield severe insult to host tissue. It is hypothesized that improved “precision medicine” therapies will target pathogenic cells selectively and thus reduce or eliminate severe side effects, and potentially induce robust immune tolerance3. However, it remains challenging to systematically identify which cellular phenotypes are present in cellular ensembles. Here, we present a novel machine learning approach, Signac, which uses neural networks trained with flow-sorted gene expression data to classify cellular phenotypes in single cell RNA-sequencing data. We demonstrate that Signac accurately classified single cell RNA-sequencing data across diseases, technologies, species and tissues. Then we applied Signac to identify known and novel immune-relevant precision medicine candidate drug targets (n = 12) in rheumatoid arthritis. A full release of this workflow can be found at our GitHub repository (https://github.com/mathewchamberlain/Signac).

41-OR: Single Cell RNA-Sequencing Reveals the Developmental Heterogeneity of Brown Adipocytes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 41-OR
Author(s):  
FARNAZ SHAMSI ◽  
MARY PIPER ◽  
LI-LUN HO ◽  
TIAN LIAN HUANG ◽  
YU-HUA TSENG
Keyword(s):  
Single Cell ◽  
Rna Sequencing ◽  
Brown Adipocytes ◽  
Single Cell Rna Sequencing
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