Mingyi Xie

GIN-CRC-Pareto identifies miRNA-target interactions in colorectal cancer using a graph-based multi-task learning framework, outperforming existing methods in accuracy and AUC.

CLASHub integrates CLASH datasets with expression data to study miRNA-target interactions and identifies a novel TDMD trigger for miR-335-3p degradation.

The paper identifies tts-2 as a TDMD trigger that drives decay of the mir-35-42 miRNA family in C. elegans embryos through base pairing with their seed sequence.

This study identifies NRMLncR, a myocyte-enriched lncRNA, as a regulator of myogenesis in mouse, showing it enhances differentiation through interactions with MyoD/MyoG and CELF1.

The paper identifies an endogenous trigger cluster in Drosophila that induces decay of miR-279 family microRNAs through minimal 3' end base pairing.

Gra-CRC-miRTar is a pre-trained graph neural network framework for identifying miRNA targets in colorectal cancer, achieving better performance than existing methods and revealing functional interactions.

The paper identifies a conserved sequence in Drosophila Argonaute1 mRNA that induces miR-999 degradation, contributing to stress response.

The paper identifies miR-320a as a regulator of the unfolded protein response by analyzing TSS-miRNA targets in colorectal cancer cells using AGO-qCLASH.

The paper identifies a Drosha-independent miRNA, miR-snaR, derived from the snaR-A non-coding RNA, which promotes cancer cell migration by targeting NME1.