Yiliang Ding

The paper shows how COOLAIR co-transcriptional dynamics integrate temperature fluctuations to repress FLC through chromatin regulation.

This study uses pPOINT-seq to analyze co-transcriptional splicing in Arabidopsis, finding that cold exposure globally enhances splicing and alters intron processing patterns.

This study identifies an ancient cis-element, the ADC-box, that represses translation of arginine decarboxylase to regulate polyamine biosynthesis and stress responses in plants.

PlantScience.ai couples an LLM-built, continuously updated plant science knowledge graph (4.0 million entities, 10.8 million edges) with graph-based retrieval for citation-traceable plant biology answers.

This study investigates RNA i-motif stability at neutral pH, finding that while ensemble experiments show global unfolding, single-molecule experiments reveal a small fraction remains folded.

This study shows elevated temperature increases PSTVd infectivity and enables it to infect Arabidopsis, highlighting climate warming's role in viroid host expansion.

This study shows that both G-quadruplexes and i-motifs are required for glucose-induced transcriptional activation of the insulin gene, with i-motif stability positively correlating with promoter activity.

This study identifies GRP7 as a key regulator of ABA-mediated translation efficiency in Arabidopsis by modulating pre-rRNA processing and ribosome distribution.

PlantRNA-FM is an interpretable RNA foundation model that improves RNA annotation and translation efficiency prediction in plants by identifying functional RNA motifs.

The paper introduces a machine learning tool, iM-Seeker, to predict DNA i-Motif folding status and strength using CUT&Tag data and biophysical experiments.

This study shows DHX36 binding remodels RNA structure, particularly in 3UTRs, leading to decreased mRNA abundance via m6A and YTHDF1 interactions.

The paper identifies G-quadruplex structures in cold-adapted plants, showing they enhance mRNA stability and improve cold response.

The paper identifies the stem loop 2 motif as a vulnerable site in SARS-CoV-2 that can be targeted by antisense oligonucleotides to inhibit replication and infection.

The paper investigates how mRNA structure affects miRNA cleavage in vivo using a new method in Arabidopsis thaliana, finding that target site unfolding and a downstream motif determine cleavage efficiency.