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 Date : 2023/01/30 No:303 

Recent News

New Books
Period: 2023-01-30 ~ 2023-02-06


2/2 IBMS Seminar
Topic:Deep learning for predicting the response to chemical and genetic perturbations of cancer.
Date:2023-02-02 11:00 ~ 12:00
Place:B1C Auditorium, IBMS
2/3 BRC Seminar
Topic:Carbon Nanotube Array for Rapid Virus Enrichment and Sample Preparation
Speaker:Dr. Yin-Ting Yeh
Date:2023-02-03 15:00 ~ 16:30
Place:Auditorium, 1st Floor, Interdisciplinary Research Building
2/7 IMB Seminar
Topic:The application of mathematical modeling and pathogen genomics to infectious diseases
Speaker:Dr. Hsiao-Han Chang
Date:2023-02-07 11:00 ~ 12:00
Place:IMB B1 Auditorium
2/8 IPMB Seminar
Topic:Unraveling the enigma of how multienzyme RNase E complexes mediate bacterial RNA regulation
Speaker:Dr. Sue Lin-Chao
Date:2023-02-08 15:00 ~ 16:30
Place:Auditorium A134, Agricultural Technology Building, Academia Sinica
2/9 IBMS Seminar
Topic:Innovative Immunotherapy of Mesenchymal Stem/stromal Cells in Allotransplantation.
Speaker:Dr. Yur-Ren Kuo
Date:2023-02-09 11:00 ~ 12:00
Place:B1C Auditorium, IBMS


BioRender 101: Academia Sinica - Life Science Library
Date:2023-02-01 9:00 am
Description:This is a special introductory webinar for staff & researchers at Academia Sinica - Life Science Library on using BioRender to design better science figures.

Important Research

Regulation of riboflavin biosynthesis in Medicago truncatula roots
In some species including Medicago truncatula, iron deficiency results in accumulation of riboflavin, a response that improve the acquisition of iron from recalcitrant pools. A study conducted in collaboration with the group of Wen Hao Zhang (State Key Laboratory of Vegetation and Environmental Change, LVEC) showed that the protein kinase CIPK12 regulates ferric reduction by accumulation of riboflavin and its derivatives......
MethylC-analyzer: A comprehensive downstream pipeline for the analysis of genome-wide DNA methylation
Dr.Pao-Yang Chen's research team have developed a MethylC-analyzer to analyze and visualize post-alignment WGBS, RRBS, and EM-seq data focusing on CG......
Using quantitative methods to understand leaf epidermal development
In this review, we introduce the formation of epidermal cell types in Arabidopsis and provide examples of quantitative tools to describe phenotypes in leaf research. We further focus on cellular factors involved in triggering cell fates and their quantitative measurements in mechanistic studies and biological patterning......
The circles Part II: investigating causal relationship between genetic variants and circular RNA expression in autism
Prof. Trees-Juen Chuang’s group (Genomics Research center, Academia Sinica) further integrated RNA-sequencing with genotype data from autistic brains to assess expression quantitative trait loci of circRNAs (circQTLs) that cis-regulate expression of nearby circRNAs and trans-regulate expression of distant genes (trans-eGenes) simultaneously......
A cell atlas for embryonic spinal motor neurons
A tour de force study by Dr. Jun-An Chen’s group at the Institute of Molecular Biology, Academia Sinica, has uncovered the diversity of spinal motor neurons in mouse embryos through single-cell RNA sequencing......
Single-cell transcriptomics unveils xylem cell development and evolution
To better understand the formation of xylem, a research team led by Drs. Chuan Ku (Institute of Plant and Microbial Biology, Academia Sinica) and Ying-Chung Jimmy Lin (Department of Life Science and Institute of Plant Biology, National Taiwan University) sampled stem xylem tissue from four tree species and collected transcriptomic data (gene expression profiles) from tens of thousands individual xylem cell protoplasts......
PD-L1, the culprit of lymphopenia in COVID-19 patients
Patients with severe COVID-19 often suffer from lymphopenia, which is linked to cytokine storm and mortality. However, it remains largely unknown how SARS-CoV-2 cripples immune system. The research groups, Dr. Chia-Wei Li, Dr. Shu-Ping Wang, and Dr. Yao-Ming Chang, in the IBMS at Academia Sinica explored the transcriptomic profile and epigenomic alterations involved in cytokine production by SARS-CoV-2-infected cells. They adopted a reverse time-order gene coexpression network (TO-GCN) to analyze time-series RNA-seq, revealing epigenetic modifications at the late stage of viral egress......
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