We profiled the viral and host transcriptomes in PBMCs derived from 19 DENV-infected children and 4 healthy controls using an optimized viscRNA-Seq 2 approach.
We computed the abundance, gene expression and communication network of multiple distinct cell types across disease categories and validated key observations by single-cell proteomics and functional assays in patient-derived samples.
Our findings reveal DENV target cells in the human blood and point to key molecular mechanisms preceding SD progression.
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dengue_children
: this folder contains the code used for the analysismodules
: this folder contains functions for pilotspilots
: old scripts for data analysispaper_figures
: this folder contains the code used for the analysispilots
: old scripts for data analysis.ipynb files
: code for referencefinal
: this folder contains the code used for the analysisEnrichr
: some files obtained by GSEA ananlysisall samples
: this folder contains the code used for the analysis with patient 1_075_01modules
: this folder contains functions for data analysisreferences
: this folder contains files for referenceYK_figure5_cell_cell_communication
: this folder contains the jupyter note book files for cell-cell communication analysis without patient 1_075_01.ipynb & .py files
: this folder contains the jupyter note book files for the analysis without patient 1_075_01
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data
: this folder contains some Excel/TSV files after analyzing the data and associated figures-
paper_figure
: this folder contains the cell-cell communication panels for the dengue children paper -
tables
: this folder contains useful cell-cell communication tables for the dengue children paper, e.g., differential gene expression, differential interactions -
Yike's code
: this folder contains old scripts for data analysis -
Zhiyuan_code
: this folder contais code of the co-first author Dr Zhiyuan Yao
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