230 related articles for article (PubMed ID: 32660529)
1. Deciphering cellular transcriptional alterations in Alzheimer's disease brains.
Wang X; Allen M; Li S; Quicksall ZS; Patel TA; Carnwath TP; Reddy JS; Carrasquillo MM; Lincoln SJ; Nguyen TT; Malphrus KG; Dickson DW; Crook JE; Asmann YW; Ertekin-Taner N
Mol Neurodegener; 2020 Jul; 15(1):38. PubMed ID: 32660529
[TBL] [Abstract][Full Text] [Related]
2. Cell type-specific potential pathogenic genes and functional pathways in Alzheimer's Disease.
Wang XL; Li L
BMC Neurol; 2021 Oct; 21(1):381. PubMed ID: 34600516
[TBL] [Abstract][Full Text] [Related]
3. Cellular transcriptional alterations of peripheral blood in Alzheimer's disease.
Song L; Yang YT; Guo Q; ; Zhao XM
BMC Med; 2022 Aug; 20(1):266. PubMed ID: 36031604
[TBL] [Abstract][Full Text] [Related]
4. Integrated identification of key genes and pathways in Alzheimer's disease via comprehensive bioinformatical analyses.
Yan T; Ding F; Zhao Y
Hereditas; 2019; 156():25. PubMed ID: 31346329
[TBL] [Abstract][Full Text] [Related]
5. Sirtuin 3 mRNA Expression is Downregulated in the Brain Tissues of Alzheimer's Disease Patients: A Bioinformatic and Data Mining Approach.
Song S; Li B; Jia Z; Guo L
Med Sci Monit; 2020 Aug; 26():e923547. PubMed ID: 32747616
[TBL] [Abstract][Full Text] [Related]
6. Identification of therapeutic targets for Alzheimer's disease via differentially expressed gene and weighted gene co-expression network analyses.
Jia Y; Nie K; Li J; Liang X; Zhang X
Mol Med Rep; 2016 Nov; 14(5):4844-4848. PubMed ID: 27748870
[TBL] [Abstract][Full Text] [Related]
7. Integrating single-nucleus sequence profiling to reveal the transcriptional dynamics of Alzheimer's disease, Parkinson's disease, and multiple sclerosis.
Fan LY; Yang J; Liu RY; Kong Y; Guo GY; Xu YM
J Transl Med; 2023 Sep; 21(1):649. PubMed ID: 37735671
[TBL] [Abstract][Full Text] [Related]
8. ESHRD: deconvolution of brain homogenate RNA expression data to identify cell-type-specific alterations in Alzheimer's disease.
Piras IS; Bleul C; Talboom JS; De Both MD; Schrauwen I; Halliday G; Myers AJ; Serrano GE; Beach TG; Huentelman MJ
Aging (Albany NY); 2020 Mar; 12(5):4124-4162. PubMed ID: 32125278
[TBL] [Abstract][Full Text] [Related]
9. Human microRNA-4433 (hsa-miR-4443) Targets 18 Genes to be a Risk Factor of Neurodegenerative Diseases.
Ge X; Yao T; Zhang C; Wang Q; Wang X; Xu LC
Curr Alzheimer Res; 2022; 19(7):511-522. PubMed ID: 35929619
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics analysis of diagnostic biomarkers for Alzheimer's disease in peripheral blood based on sex differences and support vector machine algorithm.
Ji W; An K; Wang C; Wang S
Hereditas; 2022 Oct; 159(1):38. PubMed ID: 36195955
[TBL] [Abstract][Full Text] [Related]
11. Multi-tissue neocortical transcriptome-wide association study implicates 8 genes across 6 genomic loci in Alzheimer's disease.
Gockley J; Montgomery KS; Poehlman WL; Wiley JC; Liu Y; Gerasimov E; Greenwood AK; Sieberts SK; Wingo AP; Wingo TS; Mangravite LM; Logsdon BA
Genome Med; 2021 May; 13(1):76. PubMed ID: 33947463
[TBL] [Abstract][Full Text] [Related]
12. The Bioinformatic Analysis of the Dysregulated Genes and MicroRNAs in Entorhinal Cortex, Hippocampus, and Blood for Alzheimer's Disease.
Pang X; Zhao Y; Wang J; Zhou Q; Xu L; Kang D; Liu AL; Du GH
Biomed Res Int; 2017; 2017():9084507. PubMed ID: 29359159
[TBL] [Abstract][Full Text] [Related]
13. Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer's disease.
Morabito S; Miyoshi E; Michael N; Swarup V
Hum Mol Genet; 2020 Oct; 29(17):2899-2919. PubMed ID: 32803238
[TBL] [Abstract][Full Text] [Related]
14. Identification of dysregulated genes and pathways of different brain regions in Alzheimer's disease.
Wang Y; Wang Z
Int J Neurosci; 2020 Nov; 130(11):1082-1094. PubMed ID: 32019384
[No Abstract] [Full Text] [Related]
15. The Transcriptional Landscape of Microglial Genes in Aging and Neurodegenerative Disease.
Bonham LW; Sirkis DW; Yokoyama JS
Front Immunol; 2019; 10():1170. PubMed ID: 31214167
[TBL] [Abstract][Full Text] [Related]
16. Single Cell/Nucleus Transcriptomics Comparison in Zebrafish and Humans Reveals Common and Distinct Molecular Responses to Alzheimer's Disease.
Cosacak MI; Bhattarai P; De Jager PL; Menon V; Tosto G; Kizil C
Cells; 2022 May; 11(11):. PubMed ID: 35681503
[TBL] [Abstract][Full Text] [Related]
17. Single-Cell Transcriptional Profiling and Gene Regulatory Network Modeling in Tg2576 Mice Reveal Gender-Dependent Molecular Features Preceding Alzheimer-Like Pathologies.
Ali M; Huarte OU; Heurtaux T; Garcia P; Rodriguez BP; Grzyb K; Halder R; Skupin A; Buttini M; Glaab E
Mol Neurobiol; 2024 Feb; 61(2):541-566. PubMed ID: 35980567
[TBL] [Abstract][Full Text] [Related]
18. Linking the association between circRNAs and Alzheimer's disease progression by multi-tissue circular RNA characterization.
Lo I; Hill J; Vilhjálmsson BJ; Kjems J
RNA Biol; 2020 Dec; 17(12):1789-1797. PubMed ID: 32618510
[TBL] [Abstract][Full Text] [Related]
19. Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data.
Tiong KL; Luzhbin D; Yeang CH
BMC Bioinformatics; 2024 Jun; 25(1):209. PubMed ID: 38867193
[TBL] [Abstract][Full Text] [Related]
20. Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer's Disease.
Johnson TS; Xiang S; Dong T; Huang Z; Cheng M; Wang T; Yang K; Ni D; Huang K; Zhang J
Sci Rep; 2021 Jan; 11(1):353. PubMed ID: 33432017
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
