Author

Daehyun Baek

Seoul National University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

In-Wook Song· 2 shared Kyusang YooiD· 2 shared Sang‐Hyeon HanniD· 2 shared Takwon YooiD· 2 shared Ye Lynne KimiD· 2 shared Yea-Eun Kim· 2 shared Young‐Yun KongiD· 2 shared A Vipin MenoniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersDevelopmental Biology

In-Wook Song

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3 papers

Recent·Most cited

Rejuvenation-Responsive and Senolytic-Sensitive Muscle Stem Cells Unveiled by CD200 and CD63 in Geriatric Muscle

Ye Lynne Kim, Young-Woo Jo, Takwon Yoo, Kyusang Yoo, Ji-Hoon Kim, Myungsun Park, In-Wook Song, Hyun Kim, Yea-Eun Kim, Sang‐Hyeon Hann, Jong-Eun Park, Daehyun Baek, Young‐Yun Kong

The paper identifies a new subpopulation of aged muscle stem cells (GERI-MuSCs) that are senolytic-sensitive and rejuvenation-responsive, characterized by CD200 and CD63 markers.

bioRxiv · Aug 29, 2025 · PreprintDevelopmental Biology

Muscle-resident mesenchymal progenitors sense and repair peripheral nerve injury via the GDNF-BDNF axis

Kyusang Yoo, Young‐Woo Jo, Takwon Yoo, Sang‐Hyeon Hann, Inkuk Park, Yea-Eun Kim, Ye Lynne Kim, Joonwoo Rhee, In-Wook Song, Ji-Hoon Kim, Daehyun Baek, Young‐Yun Kong

This study identifies a subset of muscle-resident FAPs that respond to peripheral nerve injury via the GDNF-BDNF axis, contributing to remyelination and nerve regeneration.

eLife · Aug 30, 2024Peer-reviewedNeuroscience

Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genome k-mer Sets

Jang-il Sohn, Min-Hak Choi, Dohun Yi, A Vipin Menon, Yeon Jeong Kim, Junehawk Lee, Jung Woo Park, Sungkyu Kyung, Seung‐Ho Shin, Byunggook Na, Je‐Gun Joung, Young Seok Ju, Min Sun Yeom, Youngil Koh, Sung‐Soo Yoon, , Jin‐Wu Nam

ETCHING is an ultra-fast somatic structural variation caller that reduces mapping costs and false positives using pan-genome k-mer sets and a Random Forest classifier.

Nature Biomedical Engineering · Dec 19, 2022Peer-reviewedBioinformatics