Peng Jiang

A fully connected neural network trained on 9491 TCGA bulk tumor transcriptomes estimates activity of 645 cytokines and secreted proteins, checked against perturbation and protein data.

This study performs a cross-species RNA-seq meta-analysis to identify conserved and novel gene expression changes associated with Sirt6 perturbation in mammals and Drosophila.

This study investigates the mechanical and transcriptomic changes in spinal cord injury, showing how evolving tissue mechanics and mechanotransduction regulate ECM remodeling and hinder regeneration.

This study compares caloric restriction (CR) and fasting-refeeding (FRF) in mice, finding that CR uses anticipatory metabolic control while FRF relies on direct nutrient cues.

This paper links maternal high-fiber diet to reduced offspring type 2 diabetes risk through multi-tissue transcriptomic and metabolomic analyses in Nile rats, identifying ASNSD1 as a key gene involved.

The paper investigates glucose-induced transcriptomic changes in nuclear and cytoplasmic compartments across cell lines, finding that transcription alone cannot explain the observed dynamics.

This paper develops an AI model using fluorescein angiography images to detect pre-symptomatic diabetic retinopathy in Nile rats with high accuracy and identifies inflammation-related gene markers associated with early DR pathogenesis.

The paper investigates regenerative versus non-regenerative outcomes after mouse digit amputation by analyzing the wound bed's transcriptomic landscape and immune microenvironment, identifying key transcription factors and developing a predictive AI model.

This study examines how chronic hyperglycemia affects human aortic smooth muscle cells, revealing changes in gene expression, protein levels, and metabolic profiles linked to cardiovascular disease.

The paper develops CRSP, a pipeline for RNA-seq analysis in species without a sequenced genome or reference transcripts, and applies it to generate a comprehensive Nile grass rat transcriptomic atlas.

This paper presents a haplotype-resolved genome assembly of the Nile rat, revealing unique genomic features relevant to type 2 diabetes and metabolic dysfunctions.

This paper uses a convolutional Siamese neural network to predict wound functional states from images in a canine model, achieving MAPE between 5% and 50%.

This study identifies DNA methylation signatures in grass carp during domestication, linking them to growth, immunity, and feeding traits through whole-genome bisulfite sequencing.

This study shows that a maternal high fiber diet reduces the risk of diet-induced diabetes in offspring, even when offspring are exposed to a diabetogenic diet later in life.