R56 AG074015/AG/NIA NIH HHS/United States[Grants and Funding] - Search Results

Year	Number of Results
2021	1
2022	7
2023	6
2024	0

1

scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles.

Zhu B, Wang Y, Ku LT, van Dijk D, Zhang L, Hafler DA, Zhao H. Zhu B, et al. Genome Biol. 2023 Dec 18;24(1):292. doi: 10.1186/s13059-023-03129-y. Genome Biol. 2023. PMID: 38111007 Free PMC article.

2

Cell-type-specific co-expression inference from single cell RNA-sequencing data.

Su C, Xu Z, Shan X, Cai B, Zhao H, Zhang J. Su C, et al. Nat Commun. 2023 Aug 10;14(1):4846. doi: 10.1038/s41467-023-40503-7. Nat Commun. 2023. PMID: 37563115 Free PMC article.

3

eQTL studies: from bulk tissues to single cells.

Zhang J, Zhao H. Zhang J, et al. J Genet Genomics. 2023 Dec;50(12):925-933. doi: 10.1016/j.jgg.2023.05.003. Epub 2023 May 18. J Genet Genomics. 2023. PMID: 37207929 Free article. Review.

4

eQTL Studies: from Bulk Tissues to Single Cells.

Zhang J, Zhao H. Zhang J, et al. ArXiv [Preprint]. 2023 Feb 22:arXiv:2302.11662v1. ArXiv. 2023. PMID: 36866231 Free PMC article. Updated. Preprint.

5

Single-cell transcriptomic atlas of Alzheimer's disease middle temporal gyrus reveals region, cell type and sex specificity of gene expression with novel genetic risk for MERTK in female.

Zhang L, He CH, Coffey S, Yin D, Hsu IU, Su C, Ye Y, Zhang C, Spurrier J, Nicholson L, Rothlin CV, Ghosh S, Gopal PP, Hafler DA, Zhao H, Strittmatter SM. Zhang L, et al. medRxiv [Preprint]. 2023 Feb 23:2023.02.18.23286037. doi: 10.1101/2023.02.18.23286037. medRxiv. 2023. PMID: 36865305 Free PMC article. Preprint.

6

Cell-type-specific co-expression inference from single cell RNA-sequencing data.

Su C, Xu Z, Shan X, Cai B, Zhao H, Zhang J. Su C, et al. bioRxiv [Preprint]. 2022 Dec 15:2022.12.13.520181. doi: 10.1101/2022.12.13.520181. bioRxiv. 2022. PMID: 36561173 Free PMC article. Updated. Preprint.

7

Reversal of synapse loss in Alzheimer mouse models by targeting mGluR5 to prevent synaptic tagging by C1Q.

Spurrier J, Nicholson L, Fang XT, Stoner AJ, Toyonaga T, Holden D, Siegert TR, Laird W, Allnutt MA, Chiasseu M, Brody AH, Takahashi H, Nies SH, Pérez-Cañamás A, Sadasivam P, Lee S, Li S, Zhang L, Huang YH, Carson RE, Cai Z, Strittmatter SM. Spurrier J, et al. Sci Transl Med. 2022 Jun;14(647):eabi8593. doi: 10.1126/scitranslmed.abi8593. Epub 2022 Jun 1. Sci Transl Med. 2022. PMID: 35648810 Free PMC article.

8

A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data.

Zhu B, Li H, Zhang L, Chandra SS, Zhao H. Zhu B, et al. Brief Bioinform. 2022 Sep 20;23(5):bbac166. doi: 10.1093/bib/bbac166. Brief Bioinform. 2022. PMID: 35514182 Free PMC article.

9

Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders.

Wang Y, Zhao H. Wang Y, et al. PLoS Comput Biol. 2022 Apr 1;18(4):e1010025. doi: 10.1371/journal.pcbi.1010025. eCollection 2022 Apr. PLoS Comput Biol. 2022. PMID: 35363784 Free PMC article.

10

PET Imaging of Synaptic Density: Challenges and Opportunities of Synaptic Vesicle Glycoprotein 2A PET in Small Animal Imaging.

Toyonaga T, Fesharaki-Zadeh A, Strittmatter SM, Carson RE, Cai Z. Toyonaga T, et al. Front Neurosci. 2022 Mar 8;16:787404. doi: 10.3389/fnins.2022.787404. eCollection 2022. Front Neurosci. 2022. PMID: 35345546 Free PMC article.

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