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Jun Zhu

Publications and source records attributed to Jun Zhu.

2 recordsLinked to original sources

Defining the transcriptional landscape of infiltrating immune cells in human and mouse bladder cancer.

The tumor immune cell landscape is composed of infiltrating myeloid cells (TIMs) and lymphocytes (TILs) that are important for regulating tumor progression and response to immune therapies. Since at least 70% of bladder cancer patients are poorly responsive to immune checkpoint blockade, there is a need for in depth analysis of the immune landscape both within individual tumor samples and between patients. To facilitate this, we have conducted single cell RNA sequencing (scRNA-seq) to map and transcriptionally define immune cells from 10 human bladder tumors. While all human tumors showed the of presence of major immune cell types, significant differences were observed in the relative numbers of these populations. To determine the translational utility of these findings we also performed scRNA-seq of TIMs-TILs isolated from mouse bladder tumors that were induced by the BBN carcinogen. In human and mouse comparison, we identified significant cross-species conservation in gene expression programs for NK, T, dendritic cells, monocytes and macrophages immune cell populations. Our data identified the conserved expression of key immunotherapy targets between human and mouse tumors including coordinately high gene expression of PD-1, CTLA and IDO1 while also noting species divergent expression of TIM3, LAG3 and CD274 (PDL-1). To identify predictive immune cell-tumor interactions we computed conserved ligand-receptor (cell-cell) interaction scores between immune cell subsets and the epithelial tumor compartment. Together, this study defines the transcriptional status of bladder cancer immune cells and provides the rationale for future studies related to treatment response and therapeutic resistance.

cancer biology↗

Gene Expression Elucidates Functional Impact of Polygenic Risk for Schizophrenia

Over 100 genetic loci harbor schizophrenia associated variants, yet how these common variants confer risk is uncertain. The CommonMind Consortium has sequenced dorsolateral prefrontal cortex RNA from schizophrenia cases (n=258) and control subjects (n=279), creating the largest publicly available resource to date of gene expression and its genetic regulation; [~]5 times larger than the latest release of GTEx. Using this resource, we find that [~]20% of the schizophrenia risk loci have common variants that could explain regulation of brain gene expression. In five loci, these variants modulate expression of a single gene: FURIN, TSNARE1, CNTN4, CLCN3 or SNAP91. Experimentally altered expression of three of them, FURIN, TSNARE1, and CNTN4, perturbs the proliferation and apoptotic index of neural progenitors and leads to neuroanatomical deficits in zebrafish. Furthermore, shRNA mediated knock-down of FURIN1 in neural progenitor cells derived from human induced pluripotent stem cells produces abnormal neural migration. Although 4.2% of genes (N = 693) display significant differential expression between cases and controls, 44% show some evidence for differential expression. All fold changes are [≤] 1.33, and an independent cohort yields similar differential expression for these 693 genes (r = 0.58). These findings are consistent with schizophrenia being highly polygenic, as has been reported in investigations of common and rare genetic variation. Co-expression analyses identify a gene module that shows enrichment for genetic associations and is thus relevant for schizophrenia. Taken together, these results pave the way for mechanistic interpretations of genetic liability for schizophrenia and other brain diseases.

Genomics↗