Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson's disease
T. Kamath, A. Abdulraouf, et al.
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson's disease
G. Novak, D. Kyriakis, et al.
HIDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data
A. Goeva, M. Dolan, et al.
A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8+ T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma
A. Rezapour, D. Rydbeck, et al.
Single-cell transcriptomics reveals aberrant skin-resident cell populations and identifies fibroblasts as a determinant in rosacea
M. Chen, L. Yang, et al.

