Difference between revisions of "Journal Club"
Choiismath  (Talk | contribs)  | 
			|||
| Line 113: | Line 113: | ||
[https://pubmed.ncbi.nlm.nih.gov/34852236/ Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses]  | [https://pubmed.ncbi.nlm.nih.gov/34852236/ Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses]  | ||
|}  | |}  | ||
| + | |||
| + | {|class=wikitable style="text-align:center;"  | ||
| + | |+style="text-align:left;font-size:12pt" | 2022-1st semester scOmics  | ||
| + | |-  | ||
| + | !scope="col" style="padding:.4em" | Date  | ||
| + | !scope="col" style="padding:.4em" | Team  | ||
| + | !scope="col" style="padding:.4em" | Paper<br/>index  | ||
| + | !scope="col" style="padding:.4em" | Presenter  | ||
| + | !scope="col" style="padding:.4em" | Paper title  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/06/17  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-36  | ||
| + | |style="padding:.4em;"|IS Choi  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://doi.org/10.1101/2022.02.05.479217 Biologically informed deep learning to infer gene program activity in single cells]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/06/10  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-35  | ||
| + | |style="padding:.4em;"|SB Baek  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://doi.org/10.1101/2021.10.17.464750 SIMBA: SIngle-cell eMBedding Along with features]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/06/03  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-34  | ||
| + | |style="padding:.4em;"|JH Cha  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34462589/ Mapping single-cell data to reference atlases by transfer learning]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/05/27  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-33  | ||
| + | |style="padding:.4em;"|JW Yu  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://doi.org/10.1101/2021.10.31.466532 Pan-cancer mapping of single T cell profiles reveals a TCF1:CXCR6-CXCL16 regulatory axis essential for effective anti-tumor immunity]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/05/20  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-32  | ||
| + | |style="padding:.4em;"|EJ Sung	  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://doi.org/10.1016/j.patter.2022.100443 EMBEDR: Distinguishing signal from noise in single-cell omics data]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/05/13  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-31  | ||
| + | |style="padding:.4em;"|IS Choi	  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34845454/ Identifying disease-critical cell types and cellular processes across the human body by integration of single-cell profiles and human genetics]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/05/06  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-30  | ||
| + | |style="padding:.4em;"|SB Baek	  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34675423/ Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/04/29  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-29  | ||
| + | |style="padding:.4em;"|JH Cha	  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34426704/ Integrating T cell receptor sequences and transcriptional profiles by clonotype neighbor graph analysis (CoNGA)]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/04/22  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-28  | ||
| + | |style="padding:.4em;"|JW Yu		  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34986867/ Hepatocellular carcinoma patients with high circulating cytotoxic T cells and intra-tumoral immune signature benefit from pembrolizumab: results from a single-arm phase 2 trial]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/04/15  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-27  | ||
| + | |style="padding:.4em;"|EJ Sung		  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/35199064/ Effect of imputation on gene network reconstruction from single-cell RNA-seq data]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/04/08  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-26  | ||
| + | |style="padding:.4em;"|IS Choi		  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/35105355/ Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/04/01  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-25  | ||
| + | |style="padding:.4em;"|SB Baek		  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/35172892/ Integrating single-cell sequencing data with GWAS summary statistics reveals CD16+monocytes and memory CD8+T cells involved in severe COVID-19]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/03/25  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-24  | ||
| + | |style="padding:.4em;"|JH Cha		  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34663807/ Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/03/18  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-23  | ||
| + | |style="padding:.4em;"|JW Yu			  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34594031/ Systematic investigation of cytokine signaling activity at the tissue and single-cell levels]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/03/04  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-22  | ||
| + | |style="padding:.4em;"|EJ Sung		  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/34852236/ Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses]  | ||
| + | |}  | ||
| + | |||
| + | ---------  | ||
{|class=wikitable style="text-align:center;"  | {|class=wikitable style="text-align:center;"  | ||
Revision as of 11:14, 28 March 2022
| Date | Team |  Paper index  | 
Presenter | Paper title | 
|---|---|---|---|---|
| 2022/06/17 | Single-cell | 22-36 | IS Choi | 
 Biologically informed deep learning to infer gene program activity in single cells  | 
| 2022/06/10 | Single-cell | 22-35 | SB Baek | |
| 2022/06/03 | Single-cell | 22-34 | JH Cha | 
 Mapping single-cell data to reference atlases by transfer learning  | 
| 2022/05/27 | Single-cell | 22-33 | JW Yu | |
| 2022/05/20 | Single-cell | 22-32 | EJ Sung | 
 EMBEDR: Distinguishing signal from noise in single-cell omics data  | 
| 2022/05/13 | Single-cell | 22-31 | IS Choi | |
| 2022/05/06 | Single-cell | 22-30 | SB Baek | |
| 2022/04/29 | Single-cell | 22-29 | JH Cha | |
| 2022/04/22 | Single-cell | 22-28 | JW Yu | |
| 2022/04/15 | Single-cell | 22-27 | EJ Sung | 
 Effect of imputation on gene network reconstruction from single-cell RNA-seq data  | 
| 2022/04/08 | Single-cell | 22-26 | IS Choi | |
| 2022/04/01 | Single-cell | 22-25 | SB Baek | |
| 2022/03/25 | Single-cell | 22-24 | JH Cha | |
| 2022/03/18 | Single-cell | 22-23 | JW Yu | 
 Systematic investigation of cytokine signaling activity at the tissue and single-cell levels  | 
| 2022/03/04 | Single-cell | 22-22 | EJ Sung | 
| Date | Team |  Paper index  | 
Presenter | Paper title | 
|---|---|---|---|---|
| 2022/06/17 | Single-cell | 22-36 | IS Choi | 
 Biologically informed deep learning to infer gene program activity in single cells  | 
| 2022/06/10 | Single-cell | 22-35 | SB Baek | |
| 2022/06/03 | Single-cell | 22-34 | JH Cha | 
 Mapping single-cell data to reference atlases by transfer learning  | 
| 2022/05/27 | Single-cell | 22-33 | JW Yu | |
| 2022/05/20 | Single-cell | 22-32 | EJ Sung | 
 EMBEDR: Distinguishing signal from noise in single-cell omics data  | 
| 2022/05/13 | Single-cell | 22-31 | IS Choi | |
| 2022/05/06 | Single-cell | 22-30 | SB Baek | |
| 2022/04/29 | Single-cell | 22-29 | JH Cha | |
| 2022/04/22 | Single-cell | 22-28 | JW Yu | |
| 2022/04/15 | Single-cell | 22-27 | EJ Sung | 
 Effect of imputation on gene network reconstruction from single-cell RNA-seq data  | 
| 2022/04/08 | Single-cell | 22-26 | IS Choi | |
| 2022/04/01 | Single-cell | 22-25 | SB Baek | |
| 2022/03/25 | Single-cell | 22-24 | JH Cha | |
| 2022/03/18 | Single-cell | 22-23 | JW Yu | 
 Systematic investigation of cytokine signaling activity at the tissue and single-cell levels  | 
| 2022/03/04 | Single-cell | 22-22 | EJ Sung | 
| Date | Team |  Paper index  | 
Presenter | Paper title | 
|---|---|---|---|---|
| 2022/02/25 | Single-cell | 22-21 | SB Baek | 
 MultiMAP: dimensionality reduction and integration of multimodal data  | 
| 2022/02/18 | Single-cell | 22-20 | IS Choi | |
| 2022/02/11 | Single-cell | 22-19 | JH Cha | |
| 2022/02/04 | Single-cell | 22-18 | IS Choi | |
| 2022/01/28 | Single-cell | 22-17 | EJ Sung | |
| 2022/01/28 | Single-cell | 22-16 | JH Cha | 
 Pan-cancer single-cell landscape of tumor-infiltrating T cells  | 
| 2022/01/14 | Single-cell | 22-15 | JW Yu | 
 Atlas of clinically distinct cell states and ecosystems across human solid tumors  | 
| 2022/01/07 | Single-cell | 22-14 | SB Baek | 
| Date | Team |  Paper index  | 
Presenter | Paper title | 
|---|---|---|---|---|
| 2021/11/23 | Single-cell | 21-39 | IS Choi | |
| 2021/11/16 | Single-cell | 21-38 | SB Back | |
| 2021/11/09 | Single-cell | 21-37 | JH Cha | |
| 2021/11/02 | Single-cell | 21-36 | SB Baek | 
 Functional Inference of Gene Regulation using Single-Cell Multi-Omics  | 
| 2021/10/26 | Single-cell | 21-35 | IS Choi | |
| 2021/10/19 | Single-cell | 21-34 | JH Cha | |
| 2021/10/05 | Single-cell | 21-33 | JH Cha | 
 Tumor and immune reprogramming during immunotherapy in advanced renal cell carcinoma  | 
| 2021/09/28 | Single-cell | 21-32 | SB Baek | |
| 2021/09/14 | Single-cell | 21-31 | IS Choi | |
| 2021/09/07 | Single-cell | 21-30 | JH Cha | 
 A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer  | 
| 2021/08/31 | Single-cell | 21-29 | IS Choi | 
 Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma  | 
| 2021/08/24 | Single-cell | 21-28 | SB Baek | 
 Interpreting type 1 diabetes risk with genetics and single-cell epigenomics  | 
| Date | Team |  Paper index  | 
Presenter | Paper title | 
|---|---|---|---|---|
| 2021/02/22 | Single-cell | 21-8 | IS Choi | 
 Functional CRISPR dissection of gene networks controlling human regulatory T cell identity  | 
| 21-7 | JH Cha | 
 Molecular Pathways of Colon Inflammation Induced by Cancer Immunotherapy  | ||
| 2021/02/15 | Single-cell | 21-6 | SB Baek | |
| 21-5 | IS Choi | 
 Trajectory-based differential expression analysis for single-cell sequencing data  | ||
| 2021/02/08 | Single-cell | 21-4 | SB Baek | 
 Genetic determinants of co-accessible chromatin regions in activated T cells across humans  | 
| 21-3 | JH Cha | 
 Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer  | ||
| 2021/02/01 | Single-cell | 21-2 | JW Cho | |
| 21-1 | JW Cho |