Peng Jin

This study identifies Hsr{omega}-n lncRNA as a mediator of CGG repeat toxicity in a Drosophila FXTAS model, showing its overexpression exacerbates neurodegeneration while its reduction alleviates it.

The paper introduces a computational model to quantify tandem repeat instability using long-read sequencing data and applies it to identify unstable alleles in 256 HPRC cell lines.

This study identifies NKX2-1-driven epigenetic and 3D chromatin remodeling as key to neuroendocrine prostate cancer progression and reveals CBP/p300 inhibitors as potential therapeutic targets.

The paper introduces mcDETECT, a machine learning framework for detecting RNA granules in spatial transcriptomics data, revealing functionally distinct neuronal substates and early Alzheimer's disease pathology.

The paper identifies cell type-specific molecular changes in the prefrontal cortex of C9orf72 ALS/FTD patients correlated with pTDP-43 levels.

Deep5hmC predicts genome-wide 5hmC modification using a multimodal deep learning model, outperforming unimodal models and existing methods in both qualitative and quantitative predictions.

The paper identifies 46,802 enhancers and 164 psychiatric disorder variants with regulatory effects in the developing cortex and organoids using massively parallel reporter assays and deep learning.

The paper generates a molecular neuroanatomical map of the human prefrontal cortex using spatial transcriptomics and single nucleus RNA-sequencing, revealing novel spatial domains and cell-cell interactions linked to psychiatric disorders.

This study shows that FMRP phosphorylation regulates neuronal translation via YTHDF1, revealing a mechanism for FXS pathology and suggesting YTHDF1 as a therapeutic target.

The paper introduces TRGT, a tool for tandem repeat genotyping, and a database of 937,122 TRs across 100 genomes, achieving high concordance and detecting repeat expansions, methylation, and mosaicism.

The paper identifies conserved oligodendrocyte dysregulation in mouse adversity models and human MDD, linking it to behavioral deficits and frontal cortex dysfunction.

LRcell identifies sub-cell types responsible for differential expression in bulk RNA-seq by using precomputed marker genes from scRNA-seq data, outperforming existing deconvolution methods.

The paper withdraws its manuscript due to the need for further experimental validation of its conclusions.

This study shows that BPA exposure in pregnant mice leads to transgenerational obesity via CTCF binding at Fto enhancers, which affects neural stem cells and AgRP/NPY neurons.

The paper integrates RNA-Seq datasets to identify key splicing factors in diseases and biological processes using signature comparison analysis.

The paper develops a method to detect differential signals in high-throughput data from mixed cell-type samples and shows its superior performance through simulations and real datasets.

This study identifies virus- and strain-specific molecular signatures of ZIKV infection in human cortical neural progenitors, showing distinct impacts on DNA replication and apoptosis.