scRNA-seq analysis of NEAT1.

<p>(A) The cellular landscape of PD and normal samples. (B) TSNE map of 22 clusters. (C,D) TSNE map of nine cell populations classified by genetic marker in PD and normal samples. (E) Expression of NEAT1 at the cellular level of the control and PD group. (F) The expression level of NEAT1 in ni...

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Bibliographic Details
Main Author:	Taole Li (20490462) (author)
Other Authors:	Jifeng Guo (491535) (author)
Published:	2024
Subjects:	Cell Biology Genetics Molecular Biology Biological Sciences not elsewhere classified weight gene co parkinson &# 8217 machine learning algorithms five machine algorithms experimental results showed cell rna sequencing 97 substantia nigra 4 features (< two subtypes based diagnostic signatures based entire pd cohort certain diagnostic effect xlink "> expression complex neurodegenerative disease characteristic signature genes expression network analysis pd diagnostic model certain diagnostic xlink "> signature model disease based related genes bioinformatics analysis regulatory network pd via wgcna ), vitro experiments s100a2 axis s100a2 </ recent studies neurod4 </ might regulate individual effects gngt1 </ fcn2 </ degs ). corresponding mirnas close relationship 453 degs
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Summary:	<p>(A) The cellular landscape of PD and normal samples. (B) TSNE map of 22 clusters. (C,D) TSNE map of nine cell populations classified by genetic marker in PD and normal samples. (E) Expression of NEAT1 at the cellular level of the control and PD group. (F) The expression level of NEAT1 in nine cell populations. (G) Dot plot of NEAT1 levels in cell populations between PD and control.</p>

scRNA-seq analysis of NEAT1.

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