Publications by authors named "Zhaochen Ye"

Article Synopsis
  • * Analyzes single-cell samples from 22 CRC patients to reveal that certain T cell populations (exhausted T cells and tumor-reactive-like T cells) play key roles in treatment efficacy and show changes post-PD-1 blockade.
  • * Suggests that a higher presence of specific blood-associated T cells and major histocompatibility complex (MHC) II signatures in CD8 T cells are associated with better treatment outcomes, offering insights into immune dynamics.
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In 2017, we released GEPIA (Gene Expression Profiling Interactive Analysis) webserver to facilitate the widely used analyses based on the bulk gene expression datasets in the TCGA and the GTEx projects, providing the biologists and clinicians with a handy tool to perform comprehensive and complex data mining tasks. Recently, the deconvolution tools have led to revolutionary trends to resolve bulk RNA datasets at cell type-level resolution, interrogating the characteristics of different cell types in cancer and controlled cohorts became an important strategy to investigate the biological questions. Thus, we present GEPIA2021, a standalone extension of GEPIA, allowing users to perform multiple interactive analysis based on the deconvolution results, including cell type-level proportion comparison, correlation analysis, differential expression, and survival analysis.

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