A5039779548- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Bioinformatics and Genomic Networks
- Cardiovascular Health and Risk Factors
- Redox biology and oxidative stress
- Cancer Genomics and Diagnostics
- Ferroptosis and cancer prognosis
- Electrospun Nanofibers in Biomedical Applications
- Multiple Myeloma Research and Treatments
- Protein Degradation and Inhibitors
- Health, Environment, Cognitive Aging
- Prostate Cancer Treatment and Research
- Advanced Glycation End Products research
- RNA Research and Splicing
- Cancer Cells and Metastasis
- Lung Cancer Treatments and Mutations
- Cardiac Fibrosis and Remodeling
- Click Chemistry and Applications
- Cancer-related Molecular Pathways
- Single-cell and spatial transcriptomics
- Advanced Computing and Algorithms
- Histone Deacetylase Inhibitors Research
- Cancer Diagnosis and Treatment
- Artificial Intelligence in Healthcare
University of Alabama at Birmingham
2022-2025
Moffitt Cancer Center
2020
Molecular Oncology (United States)
2020
Cancer genomic, transcriptomic, and proteomic profiling has generated extensive data that necessitate the development of tools for its analysis dissemination. We developed UALCAN to provide a portal easy exploring, analyzing, visualizing these data, allowing users integrate better understand gene, proteins, pathways perturbed in cancer make discoveries. web enables analyzing delivering transcriptome, proteomics, patient survival research community. With obtained from The Genome Atlas (TCGA)...
Patients with triple-negative breast cancer remain at risk for metastatic disease despite treatment. The acquisition of chemoresistance is a major cause tumor relapse and death, but the mechanisms are far from understood. We have demonstrated that cells (BCCs) can engulf mesenchymal stem/stromal (MSCs), leading to enhanced dissemination. Here, we show clinical samples primary invasive carcinoma chemoresistant metastasis contain unique hybrid cell population coexpressing pancytokeratin MSC...
Proteotoxic stress progressively leads to irreversible cardiac abnormalities. Using a mouse model of reductive stress-induced proteotoxic cardiomyopathy, we identified novel microRNA signatures, termed "ProteotoxomiRs," which reflect stage-specific and transgene-specific responses stress. Seven microRNAs were uniquely linked the human mutant R120G-αB-Crystallin transgene, indicating their direct association with pathogenic protein. Additionally, uncovered two distinct profiles associated...
Abstract Cancer is a major cause of death worldwide. Various genomic and proteomic alterations in cells results initiation cancer, disease progression, tumor metastasis. Large scale molecular data has been generated recently that can help identify these changes. These genomic, transcriptomic, epigenetic be utilized to evaluate cancer biomarkers sub-class specific precision targets. In order analyze the large data, user friendly tools are needed. We had earlier developed UALCAN, an...
Breast cancer (BCa), a leading malignancy among women, is characterized by morphological and molecular heterogeneity. While early-stage, hormone receptor, HER2-positive BCa are treatable, triple-negative metastatic remains largely untreatable. Advances in sequencing proteomic technologies have improved our understanding of the alterations that occur during initiation progression enabled identification subclass-specific biomarkers therapeutic targets. Despite availability abundant omics data...
<title>Abstract</title> Breast cancer (BCa) is one of the most common malignancies among women worldwide. It a complex disease that characterized by morphological and molecular heterogeneity. In early stages disease, BCa cases are treatable, particularly hormone receptor-positive HER2-positive tumors. Unfortunately, triple-negative metastases to distant organs largely untreatable with current medical interventions. Recent advances in sequencing proteomic technologies have improved our...
Abstract Background Long noncoding RNAs (lncRNAs) are RNA molecules with over 200 nucleotides that do not code for proteins, but known to be widely expressed and have key roles in gene regulation cellular functions. They also found involved the onset development of various cancers, including prostate cancer (PCa). Since PCa commonly driven by androgen regulated signaling, mainly stimulated pathways, identification determining influence lncRNAs response is useful necessary. LncRNAs receptor...
Nearly 1/3 of lung adenocarcinomas have loss STK11 (LKB1) function. Herein, a bioinformatics approach was used to determine how accurately preclinical model systems reflect the in vivo biology human patients. Hierarchical and K-mean clustering, principle component, gene set enrichment analyses were employed expression due patient cohorts representing nearly 1000 adenocarcinoma K-means clustering classified tumors into three distinct sub-groups; positive (54%), neuroendocrine (NE) (35%)...
Abstract Cancer is a complex disease effecting different organs and major cause of death burden on the society. Multiple molecular alteration occur during cancer initiation progression metastasis. Recent advances in technology led to generation large amount data including transcriptome. These datasets can be used analyze identify sub-class specific biomarkers targets. However, there need for development user friendly tools its analysis dissemination scale data. Earlier, we had developed...
Abstract Breast cancer (BC) accounted for 15% related death among women, in the United States last year. It is a highly heterogeneous and complex diseases with multiple molecular events occurring during initiation progression. important to unravel heterogeneity of breast develop diagnostic biomarkers targeted therapies. There need comprehensive user-friendly tool utilization available data including metastatic treatment response data. We have earlier created used pan-cancer proteogenomic...
Abstract Background: Recent advances in high throughput technologies and initiation of multiple consortium driven projects have led to generation volume molecular data related thousands cancer patients. These are extremely useful for novel biomarker identification, therapeutic target identification tumor subclasses allows numerous hypothesis research projects. However, the sheer diverse formats presents tremendous challenge researchers with no programming experience access analyze...