Difference between revisions of "Journal Club"
| Line 122: | Line 122: | ||
!scope="col" style="padding:.4em" | Presenter  | !scope="col" style="padding:.4em" | Presenter  | ||
!scope="col" style="padding:.4em" | Paper title  | !scope="col" style="padding:.4em" | Paper title  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/12/15  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-40  | ||
| + | |style="padding:.4em;"|G Koh  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.nature.com/articles/s41588-022-01141-9 Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/12/08  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-39  | ||
| + | |style="padding:.4em;"|JW Yu  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.biorxiv.org/content/10.1101/2022.08.05.502989v1 MetaTiME: Meta-components of the Tumor Immune Microenvironment]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/12/01  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-38  | ||
| + | |style="padding:.4em;"|JH Cha  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.nature.com/articles/s41590-022-01262-7 Pre-encoded responsiveness to type I interferon in the peripheral immune system defines outcome of PD1 blockade therapy]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/11/24  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-37  | ||
| + | |style="padding:.4em;"|SB Baek  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.biorxiv.org/content/10.1101/2022.03.16.484513v1 Integrated single-cell profiling dissects cell-state-specific enhancer landscapes of human tumor-infiltrating T cells]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/11/17  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-36  | ||
| + | |style="padding:.4em;"|EJ Sung  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.nature.com/articles/s41591-022-01799-y A T cell resilience model associated with response to immunotherapy in multiple tumor types]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/11/10  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-35  | ||
| + | |style="padding:.4em;"|IS Choi  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.nature.com/articles/s41588-022-01134-8 Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/11/03  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-34  | ||
| + | |style="padding:.4em;"|G Koh  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/35649411/ Cross-tissue, single-cell stromal atlas identifies shared pathological fibroblast phenotypes in four chronic inflammatory diseases]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/10/27  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-33  | ||
| + | |style="padding:.4em;"|JW Yu  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.sciencedirect.com/science/article/pii/S1535610822003178 Pan-cancer integrative histology-genomic analysis via multimodal deep learning]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/10/20  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-32  | ||
| + | |style="padding:.4em;"|JH Cha  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://pubmed.ncbi.nlm.nih.gov/35803260/ Tissue-resident memory and circulating T cells are early responders to pre-surgical cancer immunotherapy]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/10/13  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-31  | ||
| + | |style="padding:.4em;"|SB Baek  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.biorxiv.org/content/10.1101/2022.05.04.490536v1 Modeling fragment counts improves single-cell ATAC-seq analysis]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/10/06  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-30  | ||
| + | |style="padding:.4em;"|IS Choi  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.nature.com/articles/s41467-022-31535-6 Network-based machine learning approach to predict immunotherapy response in cancer patients]  | ||
| + | |-  | ||
| + | |style="padding:.4em;" rowspan=1|2022/09/29  | ||
| + | |style="padding:.4em;" rowspan=1|Single-cell  | ||
| + | |style="padding:.4em;"|22-29  | ||
| + | |style="padding:.4em;"|EJ Sung  | ||
| + | |style="padding:.4em;text-align:left"|  | ||
| + | [https://www.biorxiv.org/content/10.1101/2022.08.19.504505v1 SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks]  | ||
|-  | |-  | ||
|style="padding:.4em;" rowspan=1|2022/09/22  | |style="padding:.4em;" rowspan=1|2022/09/22  | ||
Revision as of 17:30, 25 August 2022
| 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 |