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Biography and Research Information
OverviewAI-generated summary
Allen Gies' research focuses on the application of multi-omics data integration to understand complex biological systems, with a particular emphasis on cancer and infectious diseases. His work has investigated circulating exosomal microRNAs as predictive biomarkers for chemotherapy response in breast cancer and explored the proteomic profiles of hepatocellular carcinoma cells related to Hepatitis B virus. Gies has also studied the characterization of methionine dependence in melanoma cells and the repurposing of the MMR vaccine for cancer immunotherapy. His research utilizes various techniques, including proteomics and genomics, and extends to fundamental biological processes, such as the control of gene translation during the mouse estrous cycle and the targeting of mitochondria in aged cerebral vasculature. He has published 35 papers, with an h-index of 10 and 482 citations. Gies frequently collaborates with researchers at the University of Arkansas for Medical Sciences, including Charity L. Washam, Stephanie D. Byrum, Aaron J. Storey, and Rick D. Edmondson.
Metrics
- h-index: 10
- Publications: 36
- Citations: 499
Selected Publications
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Loss of FAM60A disrupts Sin3/HDAC control of the Hippo signaling and promotes oncogenic YAP1 activation (2026)
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8572 A 30% Maternal Caloric Restriction Alters Expression of Musashi Targets in the Neonatal and Adult Pituitary Proteomes of FVB Mice (2024)
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Maternal undernutrition results in transcript changes in male offspring that may promote resistance to high fat diet induced weight gain (2024)
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Beyond the Sin3/HDAC Complex: FAM60A emerges as a regulator of RNA Splicing (2024)
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Characterization of methionine dependence in melanoma cells (2023)
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Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells (2023)
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Musashi Exerts Control of Gonadotrope Target mRNA Translation During the Mouse Estrous Cycle (2023)
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Targeting mitochondria in the aged cerebral vasculature with SS-31, a proteomic study of brain microvessels (2023)
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The beneficial effects of SS-31 on aging mice cerebral microvasculature (2023)
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Characterization of methionine dependence in melanoma cells (2023)
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Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023)
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Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023)
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Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023)
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Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023)
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Repurposing live attenuated trivalent MMR vaccine as cost-effective cancer immunotherapy (2022)
Collaboration Network
Top Collaborators
- proteoDA: a package for quantitative proteomics
- Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Characterization of methionine dependence in melanoma cells
- Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells
Showing 5 of 23 shared publications
- proteoDA: a package for quantitative proteomics
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells
- Repurposing live attenuated trivalent MMR vaccine as cost-effective cancer immunotherapy
- Enhancing immune response and survival in hepatocellular carcinoma with novel oncolytic Jurona virus and immune checkpoint blockade
Showing 5 of 10 shared publications
- Characterization of methionine dependence in melanoma cells
- Characterization of methionine dependence in melanoma cells
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
Showing 5 of 10 shared publications
- Characterization of methionine dependence in melanoma cells
- Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells
- Targeting mitochondria in the aged cerebral vasculature with SS-31, a proteomic study of brain microvessels
- Characterization of methionine dependence in melanoma cells
- Data from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
Showing 5 of 9 shared publications
- Characterization of methionine dependence in melanoma cells
- Characterization of methionine dependence in melanoma cells
- Data from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
- Supplementary Materials from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
- Supplementary Materials from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
Showing 5 of 6 shared publications
- Characterization of methionine dependence in melanoma cells
- Characterization of methionine dependence in melanoma cells
- Data from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
- Supplementary Materials from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
- Supplementary Materials from Epigenetic Control of <i>Cdkn2a.Arf</i> Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion
Showing 5 of 6 shared publications
- proteoDA: a package for quantitative proteomics
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Repurposing live attenuated trivalent MMR vaccine as cost-effective cancer immunotherapy
- Enhancing immune response and survival in hepatocellular carcinoma with novel oncolytic Jurona virus and immune checkpoint blockade
- In vivo Safety and Immunoactivity of Oncolytic Jurona Virus in Hepatocellular Carcinoma: A Comprehensive Proteogenomic Analysis
- proteoDA: a package for quantitative proteomics
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Characterization of methionine dependence in melanoma cells
- Characterization of methionine dependence in melanoma cells
- Musashi Exerts Control of Gonadotrope Target mRNA Translation During the Mouse Estrous Cycle
- Maternal undernutrition results in transcript changes in male offspring that may promote resistance to high fat diet induced weight gain
- RF25 | PMON50 Insight into Integrated Control of Pituitary Function Revealed Through Analysis of Musashi Target mRNAs
- 8572 A 30% Maternal Caloric Restriction Alters Expression of Musashi Targets in the Neonatal and Adult Pituitary Proteomes of FVB Mice
- Musashi Exerts Control of Gonadotrope Target mRNA Translation During the Mouse Estrous Cycle
- Maternal undernutrition results in transcript changes in male offspring that may promote resistance to high fat diet induced weight gain
- RF25 | PMON50 Insight into Integrated Control of Pituitary Function Revealed Through Analysis of Musashi Target mRNAs
- 8572 A 30% Maternal Caloric Restriction Alters Expression of Musashi Targets in the Neonatal and Adult Pituitary Proteomes of FVB Mice
- Musashi Exerts Control of Gonadotrope Target mRNA Translation During the Mouse Estrous Cycle
- Maternal undernutrition results in transcript changes in male offspring that may promote resistance to high fat diet induced weight gain
- RF25 | PMON50 Insight into Integrated Control of Pituitary Function Revealed Through Analysis of Musashi Target mRNAs
- 8572 A 30% Maternal Caloric Restriction Alters Expression of Musashi Targets in the Neonatal and Adult Pituitary Proteomes of FVB Mice
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy
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