| Autor: |
Sidi Chen, Youssef Errami, Paul Clark, Cun Liao, Kristin Kim, Zhiyuan Chu, Leilei Niu, Yujing Cheng, Yaying Du, Xiaoya Zhang, Xiaoyun Dai, Matthew B. Dong, Paul A. Renauer, Feifei Zhang, Lupeng Ye, Zhigang Bai, Lvyun Zhu, Ryan D. Chow, Guangchuan Wang |
| Rok vydání: |
2023 |
| DOI: |
10.1158/2159-8290.22535086.v1 |
| Popis: |
Supplementary Datasets Data 1: Sample metadata from AAV-mTSG liver screen. Data 2: Filtered sgRNA-level mutation frequencies Data 3: Gene-level average mutation frequencies Data 4: Gene-level mutation frequencies, averaged by treatment group Data 5: Results of t-tests comparing mutation frequencies: aPD1 vs PBS, or aCTLA4 vs PBS Data 6: Summary of KMT2D mutations in pan-cancer cohort Data 7: Correlation between KMT2D expression and macrophage abundance in TCGA cohorts Data 8: Correlation between KMT2D and GZMB expression in TCGA cohorts Data 9: Correlation between KMT2D and GZMA expression in TCGA cohorts Data 10: Correlation between KMT2D and CD14 expression in TCGA cohorts Data 11: Composite list of genes positively correlated with KMT2D across TCGA cohorts Data 12: Composite list of genes negatively correlated with KMT2D across TCGA cohorts Data 13: Summary of exome sequencing analysis Data 14: Association between KMT2D mutation status and total mutation burden in TCGA cohorts Data 15: Differential accessibility analysis by DESeq, sgKmt2d vs Vector (-IFN-γ) Data 16: Motif analysis of regions more accessible in sgKmt2d vs Vector Data 17: Motif analysis of regions less accessible in sgKmt2d vs Vector Data 18: Differential accessibility analysis by DESeq, sgKmt2d + IFN-γ vs - IFN-γ Data 19: Differential accessibility analysis by DESeq, Vector + IFN-γ vs - IFN-γ Data 20: List of genomic regions in each of the six clusters Data 21: Motif analysis of C1 regions Data 22: Motif analysis of C4 regions Data 23: Motif analysis of C3 regions Data 24: Motif analysis of C5 regions Data 25: Differential expression analysis of RNAseq, sgKmt2d vs Vector Data 26: DAVID gene ontology analysis of genes upregulated in sgKmt2d vs Vector Data 27: DAVID gene ontology analysis of genes downregulated in sgKmt2d vs Vector Data 28: High-confidence predicted neoantigens in sgKmt2d or Vector samples Data 29: Differential expression analysis of transposable elements, sgKmt2d vs Vector |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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