Difference between revisions of "Journal Club"
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| − | |+style="text-align:left;font-size:12pt" | 2022-1st semester   | + | |+style="text-align:left;font-size:12pt" | 2022-1st semester Microbiome  | 
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!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  | ||
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|style="padding:.4em;" rowspan=1|2022/05/27  | |style="padding:.4em;" rowspan=1|2022/05/27  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-33  | |style="padding:.4em;"|22-33  | ||
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|JY Ma  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://www.biorxiv.org/content/10.1101/2021.09.13.460160v3 Inference of disease-associated microbial biomarkers based on metagenomic and metatranscriptomic data]  | 
|-  | |-  | ||
|style="padding:.4em;" rowspan=1|2022/05/20  | |style="padding:.4em;" rowspan=1|2022/05/20  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-32  | |style="padding:.4em;"|22-32  | ||
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|SH Lee  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://www.nature.com/articles/s41591-022-01686-6 Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery  | 
| + | disease]  | ||
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|style="padding:.4em;" rowspan=1|2022/05/13  | |style="padding:.4em;" rowspan=1|2022/05/13  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-31  | |style="padding:.4em;"|22-31  | ||
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|SH Ann  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://www.sciencedirect.com/science/article/pii/S2666379121002561 Identification of Faecalibacterium prausnitzii strains for gut microbiome-based intervention in Alzheimer’s-type dementia]  | 
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|style="padding:.4em;" rowspan=1|2022/05/06  | |style="padding:.4em;" rowspan=1|2022/05/06  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-30  | |style="padding:.4em;"|22-30  | ||
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|HJ Kim  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://www.nature.com/articles/s41591-022-01688-4 Microbiome and metabolome features of the cardiometabolic disease spectrum]  | 
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|style="padding:.4em;" rowspan=1|2022/04/29  | |style="padding:.4em;" rowspan=1|2022/04/29  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-29  | |style="padding:.4em;"|22-29  | ||
|style="padding:.4em;"|JH Cha	  | |style="padding:.4em;"|JH Cha	  | ||
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-02195-w Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome]  | 
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|style="padding:.4em;" rowspan=1|2022/04/22  | |style="padding:.4em;" rowspan=1|2022/04/22  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-28  | |style="padding:.4em;"|22-28  | ||
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|NY Kim	  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://www.biorxiv.org/content/10.1101/2022.02.21.480893v1 Integrating phylogenetic and functional data in microbiome studies]  | 
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|style="padding:.4em;" rowspan=1|2022/04/15  | |style="padding:.4em;" rowspan=1|2022/04/15  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-27  | |style="padding:.4em;"|22-27  | ||
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|MY Ma		  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02473-1 Pandora: nucleotide-resolution bacterial pan-genomics with reference graphs]  | 
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|style="padding:.4em;" rowspan=1|2022/04/08  | |style="padding:.4em;" rowspan=1|2022/04/08  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
|style="padding:.4em;"|22-26  | |style="padding:.4em;"|22-26  | ||
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|SH Lee	  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009442 Multivariable association discovery in population-scale meta-omics studies]  | 
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| − | |style="padding:.4em;" rowspan=1|2022/04/  | + | |style="padding:.4em;" rowspan=1|2022/04/1  | 
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
| − | |style="padding:.4em;"|22-  | + | |style="padding:.4em;"|22-13  | 
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|SH Ahn		  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://journals.asm.org/doi/10.1128/mSystems.00252-19 Comprehensive Analysis Reveals the Evolution and Pathogenicity of Aeromonas, Viewed from Both Single Isolated Species and Microbial Communities]  | 
|-  | |-  | ||
|style="padding:.4em;" rowspan=1|2022/03/25  | |style="padding:.4em;" rowspan=1|2022/03/25  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
| − | |style="padding:.4em;"|22-  | + | |style="padding:.4em;"|22-12  | 
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|HJ Kim		  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02610-4 AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite]  | 
|-  | |-  | ||
|style="padding:.4em;" rowspan=1|2022/03/18  | |style="padding:.4em;" rowspan=1|2022/03/18  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
| − | |style="padding:.4em;"|22-  | + | |style="padding:.4em;"|22-11  | 
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|JH Cha		  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-02200-2 Metapangenomics of the oral microbiome provides insights into habitat adaptation and cultivar diversity]  | 
|-  | |-  | ||
|style="padding:.4em;" rowspan=1|2022/03/04  | |style="padding:.4em;" rowspan=1|2022/03/04  | ||
| − | |style="padding:.4em;" rowspan=1|  | + | |style="padding:.4em;" rowspan=1|Microbiome  | 
| − | |style="padding:.4em;"|22-  | + | |style="padding:.4em;"|22-10  | 
| − | |style="padding:.4em;"|  | + | |style="padding:.4em;"|JY Ma		  | 
|style="padding:.4em;text-align:left"|  | |style="padding:.4em;text-align:left"|  | ||
| − | [https://  | + | [https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-022-01011-3 Microbiota of the prostate tumor environment investigated by whole-transcriptome profiling]  | 
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Revision as of 11:42, 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 | 
|---|---|---|---|---|
| 2022/05/27 | Microbiome | 22-33 | JY Ma | |
| 2022/05/20 | Microbiome | 22-32 | SH Lee | 
 [https://www.nature.com/articles/s41591-022-01686-6 Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease]  | 
| 2022/05/13 | Microbiome | 22-31 | SH Ann | |
| 2022/05/06 | Microbiome | 22-30 | HJ Kim | 
 Microbiome and metabolome features of the cardiometabolic disease spectrum  | 
| 2022/04/29 | Microbiome | 22-29 | JH Cha | |
| 2022/04/22 | Microbiome | 22-28 | NY Kim | 
 Integrating phylogenetic and functional data in microbiome studies  | 
| 2022/04/15 | Microbiome | 22-27 | MY Ma | 
 Pandora: nucleotide-resolution bacterial pan-genomics with reference graphs  | 
| 2022/04/08 | Microbiome | 22-26 | SH Lee | 
 Multivariable association discovery in population-scale meta-omics studies  | 
| 2022/04/1 | Microbiome | 22-13 | SH Ahn | |
| 2022/03/25 | Microbiome | 22-12 | HJ Kim | 
 AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite  | 
| 2022/03/18 | Microbiome | 22-11 | JH Cha | |
| 2022/03/04 | Microbiome | 22-10 | JY Ma | 
 Microbiota of the prostate tumor environment investigated by whole-transcriptome profiling  | 
| 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 | 
|---|---|---|---|---|
| 2022/02/25 | Microbiome | 22-9 | NY Kim | 
 Species-resolved sequencing of low-biomass or degraded microbiomes using 2bRAD-M  | 
| 2022/02/18 | Microbiome | 22-8 | SH Lee | |
| 2022/02/11 | Microbiome | 22-7 | SH Ahn | 
 Gut microbial determinants of clinically important improvement in patients with rheumatoid arthritis  | 
| 2022/02/04 | Microbiome | 22-6 | JH Cha | 
 Gut microbiota modulates weight gain in mice after discontinued smoke exposure  | 
| 2022/01/28 | Microbiome | 22-5 | JY Ma | 
 The human microbiome encodes resistance to the antidiabetic drug acarbose  | 
| 2022/01/28 | Microbiome | 22-4 | SH Lee | 
 Commensal bacteria promote endocrine resistance in prostate cancer through androgen biosynthesis  | 
| 2022/01/14 | Microbiome | 22-3 | HJ Kim | 
 The influence of the gut microbiome on BCG-induced trained immunity  | 
| 2022/01/07 | Microbiome | 22-2 | JY Ma | |
| 2022/01/07 | Microbiome | 22-1 | NY Kim | 
 ReprDB and panDB: minimalist databases with maximal microbial representation  | 
| 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 |