Shou-Jiang Gao on Muck Rack

Shou-Jiang Gao

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Articles

Kaposi’s sarcoma-associated herpesvirus induces mitochondrial fission to evade host immune responses and promote viral production - Nature Microbiology

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By Robert McElroy, Christian Ronquillo Pangilinan, Qin Liu, Dario C. Altieri, Paul M. Lieberman, Shou-Jiang Gao, Pinghui Feng, Joseph M. Salvino, Jae U. Jung
| Nature Verified
Abstract Mitochondrial dynamics are pivotal for host immune responses upon infection, yet how viruses manipulate these processes to impair host defence and enhance viral fitness remains unclear. Here we show that Kaposi’s sarcoma-associated herpesvirus (KSHV), an oncogenic virus also known as human herpesvirus 8, encodes Bcl-2 (vBcl-2), which reprogrammes mitochondrial architecture.
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A Comparative Evaluation of Computational Models for RNA modification detection using Nanopore sequencing with RNA004 Chemistry

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By Yongji Zou, Joe Chan, Shou-Jiang Gao, Yufei Huang
| BioRxiv
Abstract Direct RNA sequencing from Oxford Nanopore Technologies (ONT) has become a valuable method for studying RNA modifications such as N6-methyladenosine (m6A), pseudouridine, and 5-methylcytosine (m5C). Recent advancements in the RNA004 chemistry substantially reduce sequencing errors compared to previous chemistries (e.g., RNA002), thereby promising enhanced accuracy for epitranscriptomic analysis.
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Augment Single-cell RNA-seq data with Surface Protein Levels using Gene set-based Deep Learning and Transfer Learning Methods

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By Musaddaqul Hasib, Jianqiu Zhang, Shou-Jiang Gao, Tinghe Zhang
| BioRxiv
Abstract As scRNA-seq becomes increasingly accessible, providing a cost-efficient method to augment surface protein levels from gene expression measurements are desirable. We proposed a machine learning approach that includes a novel geneset neural network (GS-NN) that aims to learn robust and biologically meaningful features and a highly efficient transfer learning strategy to address cross-dataset differences.
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