Peng Li

ORCID: 0000-0003-0133-6879
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About
Contact & Profiles
Research Areas
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Ferroptosis and cancer prognosis
  • RNA Research and Splicing
  • Healthcare professionals’ stress and burnout
  • COVID-19 and Mental Health
  • RNA regulation and disease
  • GaN-based semiconductor devices and materials
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Ubiquitin and proteasome pathways
  • Extracellular vesicles in disease
  • Hearing, Cochlea, Tinnitus, Genetics
  • Domain Adaptation and Few-Shot Learning
  • Psychological Well-being and Life Satisfaction
  • Neural Networks and Applications
  • Antimicrobial Peptides and Activities
  • Speech Recognition and Synthesis

Nankai University
2023-2025

Regend Therapeutics (China)
2024

Kunming Medical University
2022

Abstract Glioma cell sensitivity to temozolomide (TMZ) is critical for effective treatment and correlates with patient survival, although mechanisms underlying this activity are unclear. Here, we reveal a new mechanism used by glioma cells modulate TMZ via regulation of SORBS2 DDR1 genes super-enhancer RNA LINC02454 . We report that increases maintaining long-range chromatin interactions between the enhancer. By contrast, also decreased promoting expression. Our study suggests bivalent...

10.1038/s41419-023-06392-w article EN cc-by Cell Death and Disease 2024-01-04

Hair cell (HC) damage is a leading cause of sensorineural hearing loss, and in mammals supporting cells (SCs) are unable to divide regenerate HCs after birth spontaneously. Procollagen C-endopeptidase enhancer 2 (Pcolce2), which encodes glycoprotein that acts as functional procollagen C protease enhancer, was screened candidate regulator SC plasticity our previous study. In the current study, we used adeno-associated virus (AAV)-ie (a newly developed targets SCs) overexpress Pcolce2 SCs....

10.1111/cpr.13633 article EN cc-by Cell Proliferation 2024-03-25

An isolation strategy was used to control the transmission and rapid spread of COVID-19 in Yunnan. As a result, students were supposed stay at home disrupted their outside activities. It led detrimental influence on students' mental health. The purpose this study investigate prevalence risk factors depression anxiety among medical provide ideas for prevention students. A cross-sectional survey conducted 2,116 Kunming Medical University from July 8 16, 2020. Participants' demographic living...

10.3389/fpubh.2022.957597 article EN cc-by Frontiers in Public Health 2022-09-07

The study aimed to investigate the influence of academic stressors on mental health and mediating effect social support self-identity among college students further studied difference between graduating non-graduating during COVID-19 Pandemic. Recruiting 900 as subjects, used students’ questionnaire, scale depression anxiety stress scales (DASS-21). results showed that: (1) stressor positively predicted health; (2) Social mediated relationship; (3) model also held when was replaced by work...

10.32604/ijmhp.2022.019406 article EN International Journal of Mental Health Promotion 2022-01-01

Ferroptosis is an iron-dependent form of cell death, which reported to be associated with glioma progression and drug sensitivity. Targeting ferroptosis a potential therapeutic approach for glioma. However, the molecular mechanism not clear. In this study, we profile change 3D chromatin structure in glioblastoma by using HiChIP study gene regulation network ferroptosis. A combination analysis RNA-seq data suggests that loops mediated regulates expressions Genes are regulated structures...

10.3390/ijms241914945 article EN International Journal of Molecular Sciences 2023-10-06

Single-cell transcriptome sequencing (scRNA-seq) provides a higher resolution of cellular differences than bulk RNA-seq, enabling the dissection cell-type-specific responses to perturbations in papillary thyroid carcinoma (PTC). However, genomic features are highly heterogeneous and have large number genes without any expression signals, which hinders statistical power identify differentially expressed may generate many false-positive results. To overcome this challenge, we conducted an...

10.1016/j.csbj.2023.10.045 article EN cc-by Computational and Structural Biotechnology Journal 2023-01-01

Mixture-of-Experts (MoE) is an emerging technique for scaling large models with sparse activation. MoE are typically trained in a distributed manner expert parallelism scheme, where experts each layer across multiple GPUs. However, the default suffers from heavy network burden due to all-to-all intermediate data exchange among GPUs before and after run. Some existing works have proposed reduce exchanges by transferring loads, however, which would decrease level of execution make computation...

10.48550/arxiv.2411.15419 preprint EN arXiv (Cornell University) 2024-11-22
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