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Jihwan Park

Researcher at University of Pennsylvania

Publications -  53
Citations -  3736

Jihwan Park is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Kidney disease & Kidney. The author has an hindex of 23, co-authored 45 publications receiving 2125 citations. Previous affiliations of Jihwan Park include Gwangju Institute of Science and Technology & Pohang University of Science and Technology.

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Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy

TL;DR: In this article , a review on the application of scRNA-seq in investigation of the tumour immune microenvironment (TIME) is presented, and the authors concluded novel cell clusters of cancer-associated fibroblasts (CAFs), T cells, tumour-associated macrophages (TAMs) and dendritic cells (DCs) were discovered after scRNAseq in time.
Posted ContentDOI

Comprehensive single cell RNAseq analysis of the kidney reveals novel cell types and unexpected cell plasticity

TL;DR: A comprehensive single cell atlas of the kidney reveals a transitional cell type and cell plasticity determined by Notch signaling which is defective in chronic kidney disease.
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Identification of the early and late responder genes during the generation of induced pluripotent stem cells from mouse fibroblasts.

TL;DR: Examination of the epigenetic modifications and the transcriptome of two types of iPSC and of partially reprogrammed iPSCs generated independently from adult cardiac and skin fibroblasts indicate that the cellular responsiveness to external stimuli should be pre-determined and sequentially orchestrated through the tight modulation of the chromatin environment during cell reprograming to prevent unexpected reprogramming.
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Impaired IL-2 expression in latent HIV-1 infection

TL;DR: IL-2-related immunological functions in latently HIV-1-infected T cells were markedly impaired even in the presence of stimuli.
Posted ContentDOI

Bulk Tissue Cell Type Deconvolution with Multi-Subject Single-Cell Expression Reference

TL;DR: When applied to pancreatic islet and whole kidney expression data in human, mouse, and rats, MuSiC outperformed existing methods, especially for tissues with closely related cell types.