Author

K. Hudson

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 Biochemistry· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Research Focus:gene regulatory network inference· 2 Organism:Arabidopsis· 1

Frequent Co-Authors

A. L. Kantsadi· 1 shared A. Lia· 1 shared A. Santino· 1 shared A. Sarkar· 1 shared A. T. Caputo· 1 shared A. V. Chandran· 1 shared B. Chagari· 1 shared B. Kefas· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiochemistry

A. L. Kantsadi

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A comprehensive analysis of Transcribed Ultra Conserved Regions uncovers important regulatory functions of novel non-coding transcripts in gliomas.

M. K. Gibert, Y. Zhang, S. Saha, G. V. Konduru, P. Marcinkiewicz, C. Dube, K. Hudson, Y. Sun, S. Bednarek, B. Chagari, A. Sarkar, C. Roig-Laboy, N. Neace, K. Saoud, I. Setiady, , R. Abounader

This study analyzes Transcribed Ultra Conserved Regions (TUCRs) in gliomas, identifying uc.110 as a tumor enhancer that promotes malignancy via the WNT pathway.

bioRxiv · Sep 12, 2023 · PreprintCancer Biology

Genome-wide, Organ-delimited gene regulatory networks (OD-GRNs) provide high accuracy in candidate TF selection across diverse processes.

R. Ranjan, S. Srijan, S. Balekuttira, T. Agarwal, M. Dobbins, X. Wang, K. Hudson, Y. Li, K. Varala

The paper develops a machine learning framework to create organ-specific gene expression datasets and infer gene regulatory networks, achieving high accuracy in predicting transcription factors regulating organ-specific processes.

bioRxiv · Jun 17, 2023Plant Biology

Programmed death-ligand 1 expression in human cancer three-dimensional cell culture models

K. Hudson, N. A. Cross, N. Jordan-Mahy, R. Leyland

This study examines how PD-L1 and other immunological markers change in 3D cell culture models compared to 2D cultures in breast, prostate, and colorectal cancer cell lines.

bioRxiv · Oct 31, 2022 · PreprintCancer Biology

A quinolin-8-ol sub-millimolar inhibitor of UGGT, the ER glycoprotein folding quality control checkpoint

K. P. Guay, R. Ibba, J. L. Kiappes, M. De Benedictis, I. Zeni, J. D. Le Cornu, M. Hensen, A. V. Chandran, A. L. Kantsadi, A. T. Caputo, J. I. Blanco Capurro, Y. Bayo, J. C. Hill, K. Hudson, A. Lia, , P. Roversi

This paper identifies a small molecule inhibitor of UGGT, a key enzyme in ER glycoprotein folding, and demonstrates its inhibitory effects in vitro and in cell culture.

bioRxiv · Jun 21, 2022Biochemistry