Author

J. Xi

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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Cancer Biology· 2 Plant Biology· 2 Bioengineering· 1 Cell Biology· 1 Immunology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 8 Research Focus:cell type annotation· 6 Research Focus:differential expression· 4 Organism:human· 4 Assay:scRNA-seq· 3 Assay:bulk RNA-seq· 2 Research Focus:cell-cell communication· 2 Research Focus:gene regulatory network inference· 2

Frequent Co-Authors

C.-S. Cho· 2 shared H. M. Kang· 2 shared J. H. Lee· 2 shared S. Yin· 2 shared S.-R. Park· 2 shared Z. Hu· 2 shared A. Agarwal· 1 shared A. Asthana· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 9 mutual co-author links

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2 shared papersBioengineering

C.-S. Cho

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Unveiling chemotherapy-induced immune landscape remodeling and metabolic reprogramming in lung adenocarcinoma by scRNA-sequencing

Y. Huang, G. Wu, G. Bi, L. Cheng, J. Liang, M. Li, H. Zhang, G. Shan, Z. Hu, Z. Chen, Z. Lin, W. Jiang, Q. Wang, J. Xi, S. Yin, C. Zhan

This study uses scRNA-seq to analyze how chemotherapy remodels the immune landscape and metabolic state in lung adenocarcinoma, identifying changes in macrophage subtypes and immune responses.

bioRxiv · Feb 18, 2024Cancer Biology

Initiation of a ZAKa-dependent Ribotoxic Stress Response by the Innate Immunity Endoribonuclease RNase L

J. Xi, G. Snieckute, A. Asthana, C. Gaughan, S. Bekker-Jensen, R. H. Silverman

This study shows that RNase L activation by 2-5A triggers a ZAK-dependent ribotoxic stress response, leading to inflammatory gene transcription and apoptosis.

bioRxiv · Oct 12, 2023Immunology

Decoding human in vitro terminal erythropoiesis originating from umbilical cord blood mononuclear cells and pluripotent stem cells

X. Wang, W. Zhang, S. Zhao, H. Yan, Z. Xin, T. Cui, R. Zang, L. Zhao, H. Wang, J. Zhou, X. Li, W. Yue, J. Xi, Z. Zhang, X. Fang, X. Pei

This study maps ex vivo terminal erythropoiesis from umbilical cord blood mononuclear cells and pluripotent stem cells, identifying differences in regulatory dynamics and CD99 expression affecting erythroid expansion and maturation.

bioRxiv · Apr 20, 2023 · PreprintCell Biology

PIF4/HEMERA-mediated daytime thermosensory growth requires the Mediator subunit MED14

Y. Qiu, A. Bajracharya, J. Xi, K. F. Grace, E. E. Bayer, C. A. Grant, C. H. Clutton, S. R. Baerson, A. Agarwal

The Mediator subunit MED14 promotes thermomorphogenesis by interacting with PIF4 and HEMERA to induce the expression of growth-promoting genes at elevated temperatures.

bioRxiv · Mar 2, 2022 · PreprintPlant Biology

Case study of a rhizosphere microbiome assay on a bamboo rhizome with excessive shoots

F. Cui, Y. Yang, M. Ye, W. Wei, W. Huang, Y. Wu, J. Xi, X. Ye, S. Zhou, Z. Hu, R. Gui, W. Wu, K. Yrjala, K. Overmyer, S. Liu

The paper studies a rare bamboo rhizome phenomenon with excessive shoots, analyzing its associated microbiome and finding correlations between bacterial genera and shoot numbers.

bioRxiv · Mar 16, 2021Plant Biology

Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies

C.-S. Cho, J. Xi, S.-R. Park, J.-E. Hsu, M. Kim, G. Jun, H. M. Kang, J. H. Lee

Seq-Scope provides submicrometer-resolution spatial transcriptomics for single-cell and subcellular analysis by using barcoded clusters on an Illumina platform.

bioRxiv · Jan 25, 2021Bioengineering

Holistic Characterization of Single Hepatocyte Transcriptome Responses to High Fat Diet

S.-R. Park, C.-S. Cho, J. Xi, H. M. Kang, J. H. Lee

This study uses single-cell RNA-sequencing to analyze how hepatocytes respond to high-fat diet and NAFLD, revealing heterogeneous transcriptomic changes across liver zones.

bioRxiv · Apr 16, 2020Physiology

Self-assembled primary tumor clusters for precision cancer therapy

S. Yin, R. Xi, A. Wu, J.-F. Ji, J. Xi

This paper introduces a novel patient-derived tumor-like cell cluster model for personalized drug testing, showing high similarity to original tumors and enabling rapid drug testing within 10-20 days.

bioRxiv · Jul 14, 2019 · PreprintCancer Biology