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Carolina Chung
Carolina Chung
Graduate Student Research Assistant, University of Michigan
Bestätigte E-Mail-Adresse bei umich.edu
Titel
Zitiert von
Zitiert von
Jahr
Dissecting murine muscle stem cell aging through regeneration using integrative genomic analysis
A Shcherbina, J Larouche, P Fraczek, BA Yang, LA Brown, JF Markworth, ...
Cell reports 32 (4), 2020
532020
The deacylase SIRT5 supports melanoma viability by influencing chromatin dynamics
W Giblin, L Bringman-Rodenbarger, AH Guo, S Kumar, AC Monovich, ...
The Journal of clinical investigation 131 (12), 2021
272021
Next-generation genome-scale metabolic modeling through integration of regulatory mechanisms
CH Chung, DW Lin, A Eames, S Chandrasekaran
Metabolites 11 (9), 606, 2021
212021
Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
G Assante, S Chandrasekaran, S Ng, A Tourna, CH Chung, KA Isse, ...
Genome medicine 14 (1), 67, 2022
122022
A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions
CH Chung, S Chandrasekaran
PNAS nexus 1 (3), pgac132, 2022
92022
Machine learning to design antimicrobial combination therapies: Promises and pitfalls
JM Cantrell, CH Chung, S Chandrasekaran
Drug Discovery Today 27 (6), 1639-1651, 2022
72022
Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer
S Yadav, R Virk, CH Chung, MB Eduardo, D VanDerway, D Chen, ...
NPJ Breast Cancer 8 (1), 59, 2022
42022
Dissecting Muscle Stem Cell Aging Through Integrative Genomic Analysis
A Shcherbina, J Larouche, BA Yang, LA Brown, JF Markworth, C Chung, ...
Available at SSRN 3487670, 2019
12019
Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis
A Sambarey, K Smith, C Chung, HS Arora, Z Yang, PP Agarwal, ...
Iscience 27 (2), 2024
2024
Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease (vol 14, 67, 2022)
G Assante, S Chandrasekaran, S Ng, A Tourna, CH Chung, KA Isse, ...
GENOME MEDICINE 15 (1), 2023
2023
Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer (May, 10.1038/s41523022-00422-0, 2022)
S Yadav, R Virk, CH Chung, MB Eduardo, D VanDerway, D Chen, ...
NPJ BREAST CANCER 9 (1), 2023
2023
Leveraging Systems-level Metabolic Modeling and Machine Learning to Optimize Antibiotic Combination Therapy Design
C Chung
2023
Correction: Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
G Assante, S Chandrasekaran, S Ng, A Tourna, CH Chung, KA Isse, ...
Genome Medicine 15, 2023
2023
Author Correction: Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer
S Yadav, R Virk, CH Chung, MB Eduardo, D VanDerway, D Chen, ...
NPJ Breast Cancer 9, 2023
2023
Acetyl coenzyme A metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
G Assante, S Chandrasekaran, S Ng, A Tourna, C Chung, K Isse, J Banks, ...
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY 37, 24-25, 2022
2022
Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis
A Sambarey, K Smith, C Chung, HS Arora, Z Yang, P Agarwal, ...
medRxiv, 2022
2022
Abstract PS17-40: Fatty acid metabolism at the connection of histone methylation and mammary cell plasticity
S Yadav, RKA Virk, CH Chung, S Chandrasekaran, V Backman, SA Khan, ...
Cancer Research 81 (4_Supplement), PS17-40-PS17-40, 2021
2021
Exposure of mammary cells to lipid activates gene expression changes associated with ER-negative breast cancer via chromatin remodeling
S Yadav, R Virk, CH Chung, D Van Derway, D Chen, K Burdett, H Gao, ...
bioRxiv, 2020.12. 13.422540, 2020
2020
The deacylase SIRT5 supports melanoma viability by regulating chromatin dynamics
W Giblin, L Bringman-Rodenbarger, AH Guo, S Kumar, AC Monovich, ...
bioRxiv, 2020.09. 07.286526, 2020
2020
Integrative Analysis of Multimodal Patient Data Identifies Efficacious Drug Regimens and Personalized Predictors of Tuberculosis Treatment Prognosis
A Sambarey, K Smith, C Chung, HS Arora, Z Yang, PP Agarwal, ...
Available at SSRN 4526525, 0
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