Korea Advanced Institute of Science and Technology · Biochemistry, Genetics and Molecular Biology
Professor Seongryong Kim's research lab specializes in single-cell genomics and tumor microenvironment analysis, focusing on deciphering cellular heterogeneity in pancreatic cancer and other human diseases. The lab employs advanced single-cell RNA sequencing and multi-omics approaches to map dynamic cellular states, particularly in epithelial and stromal cells, with an emphasis on identifying novel therapeutic targets. They also investigate host responses to mRNA vaccines and develop innovative chemical tools for bioorthogonal synthesis, bridging immunology, cancer biology, and chemical biology. Their work integrates systems biology with translational insights to understand disease mechanisms across organs and cell types.
Figures are computed from collected data and may differ slightly.
This integrative analysis not only provides a comprehensive landscape of pancreatic cancer and fibroblast population, but also suggests a novel insight to the dynamic states of pancreatic cancer cells and unveils potential therapeutic targets.
The microphthalmia-associated transcription factor family (MiT family) proteins are evolutionarily conserved transcription factors that perform many essential biological functions. In mammals, the MiT family consists of MITF (microphthalmia-associated transcription factor or melanocyte-inducing transcription factor), TFEB (transcription factor EB), TFE3 (transcription factor E3), and TFEC (transcription factor EC). These transcriptional factors belong to the basic helix-loop-helix-leucine zipper
mRNA vaccines against SARS-CoV-2 have revolutionized vaccine development, but their immunological mechanisms are not fully understood. Here, we investigate injection site responses of mRNA vaccines by generating a comprehensive single-cell transcriptome profile upon lipid nanoparticle (LNP) or LNP-mRNA challenge in female BALB/c mice. We show that LNP-induced stromal pro-inflammatory responses and mRNA-elicited type I interferon responses dominate the initial injection site responses. By trackin
The use of <i>N</i>-hydroxy-2-oxopropanimidoyl chloride as a latent cyanide transfer agent is reported. This easy-to-handle, scalable, and operationally simple agent can be installed on common nucleophiles, including thiols and secondary amines, affording synthetically useful thiocyanates and cyanamides. This method complements conventional approaches that use poisonous and volatile cyanogen halides.
Injection site response single-cell transcriptome datasets
<strong>Background: </strong>Recent studies using single cell transcriptomic analysis have reported several distinct clusters of neoplastic epithelial cells and cancer-associated fibroblasts in the pancreatic cancer tumor microenvironment. However, their molecular characteristics and biological significance have not been clearly elucidated due to intra- and inter-tumoral heterogeneity. <strong>Methods: </strong>We performed single cell RNA sequencing using enriched non-immune cell populations fr
ZI I @ K@ @ ?@ ?= @B =M =@ ] G@ @B @ B M@ ? =I K@M IK@ @ M =G@ ? = @ ? C ?@ I =??C >@ K ?? @=@ I M@@ =I @I@ B K MK@ @ @ B C ;^16_`ab$cd1efgh,Ui'()14jk lUmnUTob$pqorsjtuUv'jk lUmwnxryz{|}U~c1()614 UzUc$n2rcu1()614 ,cob'1b6cdn$14'23U`Usyc%*jt%$'u $ !UTy#ci%*%)+ci1()¢£c¤4,¥¦'u¥¦%5n`§¨©a«ci¢£'()14¬)u1()614 ,U®%i'u MK=¯@ E J B KL MG C ??C Q @ ?H I =A FB MH =I@I° I ] C C
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Abstract Human diseases affect various cell types within the local niche, but the multicellular responses of human diseases have not been collectively assessed across organs. Here, we categorize multicellular responses of human diseases based on a remapped human cell atlas, incorporating 12 million single-cell transcriptome profiles acquired from an automated data collection pipeline. Additional curation expands the collection up to 46 million cells, covering 160 disease conditions across 49 dis
Abstract Description Human diseases affect various cell types within the local niche, but the multicellular responses of human diseases have not been collectively assessed across organs. Here, we categorize multicellular responses of human diseases based on a remapped human cell atlas, incorporating 12 million single-cell transcriptome profiles acquired from an automated data collection pipeline. Additional curation expands the collection up to 46 million cells, covering 160 disease conditions a
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Open papers in the app to read, cite, and organize with AI.
