Biomedical Informatics Commons^™

Structure-Based Design Of Stapled Peptides That Bind Gabarap And Inhibit Autophagy, Hawley Brown, Mia Chung, Alina Üffing, Nefeli Batistatou, Tiffany Tsang, Samantha Doskocil, Weiqun Mao, Dieter Willbold, Robert C Bast, Zhen Lu, Oliver H Weiergräber, Joshua A Kritzer

Faculty, Staff and Student Publications

The LC3/GABARAP family of proteins is involved in nearly every stage of autophagy. Inhibition of LC3/GABARAP proteins is a promising approach to blocking autophagy, which sensitizes advanced cancers to DNA-damaging chemotherapy. Here, we report the structure-based design of stapled peptides that inhibit GABARAP with nanomolar affinities. Small changes in staple structure produced stapled peptides with very different binding modes and functional differences in LC3/GABARAP paralog selectivity, ranging from highly GABARAP-specific to broad inhibition of both subfamilies. The stapled peptides exhibited considerable cytosolic penetration and resistance to biological degradation. They also reduced autophagic flux in cultured ovarian cancer cells and sensitized …

Novel Markers For Liquid Biopsies In Cancer Management: Circulating Platelets And Extracellular Vesicles, Sara Corvigno, Anna Maria Johnson, Kwong-Kwok Wong, Min Soon Cho, Vahid Afshar-Kharghan, David G Menter, Anil K Sood

Faculty, Staff and Student Publications

Although radiologic imaging and histologic assessment of tumor tissues are classic approaches for diagnosis and monitoring of treatment response, they have many limitations. These include challenges in distinguishing benign from malignant masses, difficult access to the tumor, high cost of the procedures, and tumor heterogeneity. In this setting, liquid biopsy has emerged as a potential alternative for both diagnostic and monitoring purposes. The approaches to liquid biopsy include cell-free DNA/circulating tumor DNA, long and micro noncoding RNAs, proteins/peptides, carbohydrates/lectins, lipids, and metabolites. Other approaches include detection and analysis of circulating tumor cells, extracellular vesicles, and tumor-activated platelets. Ultimately, reliable use …

Inflammatory Breast Cancer: The Cytokinome Of Post-Mastectomy Wound Fluid Augments Proliferation, Invasion, And Stem Cell Markers, Alshaimaa Tarek, Shrouk Khalaf El-Sayed, Wendy A Woodward, Mohamed El-Shinawi, Jon Mark Hirshon, Mona Mostafa Mohamed

Faculty, Staff and Student Publications

Inflammatory breast cancer (IBC) is an aggressive phenotype with a high recurrence and low survival rate. Approximately 90% of local breast cancer recurrences occur adjacent to the same quadrant as the initial cancer, implying that tumor recurrence may be caused by residual cancer cells and/or quiescent cancer stem cells (CSCs) in the tumor. We hypothesized that wound fluid (WF) collected after modified radical mastectomy (MRM) may activate cancer cells and CSCs, promoting epithelial mesenchymal transition (EMT) and invasion. Therefore, we characterized the cytokinome of WF drained from post-MRM cavities of non-IBC and IBC patients. The WF of IBC patients showed …

Cistrome And Transcriptome Analysis Identifies Unique Androgen Receptor (Ar) And Ar-V7 Splice Variant Chromatin Binding And Transcriptional Activities, Paul Basil, Matthew J Robertson, William E Bingman, Amit K Dash, William C Krause, Ayesha A Shafi, Badrajee Piyarathna, Cristian Coarfa, Nancy L Weigel

Faculty, Staff and Students Publications

The constitutively active androgen receptor (AR) splice variant, AR-V7, plays an important role in resistance to androgen deprivation therapy in castration resistant prostate cancer (CRPC). Studies seeking to determine whether AR-V7 is a partial mimic of the AR, or also has unique activities, and whether the AR-V7 cistrome contains unique binding sites have yielded conflicting results. One limitation in many studies has been the low level of AR variant compared to AR. Here, LNCaP and VCaP cell lines in which AR-V7 expression can be induced to match the level of AR, were used to compare the activities of AR and …

Micrornas In Leukemias: A Clinically Annotated Compendium, Aleksander Turk, George A Calin, Tanja Kunej

Faculty, Staff and Student Publications

Leukemias are a group of malignancies of the blood and bone marrow. Multiple types of leukemia are known, however reliable treatments have not been developed for most leukemia types. Furthermore, even relatively reliable treatments can result in relapses. MicroRNAs (miRNAs) are a class of short, noncoding RNAs responsible for epigenetic regulation of gene expression and have been proposed as a source of potential novel therapeutic targets for leukemias. In order to identify central miRNAs for leukemia, we conducted data synthesis using two databases: miRTarBase and DISNOR. A total of 137 unique miRNAs associated with 16 types of leukemia were retrieved …

Fusionai, A Dna-Sequence-Based Deep Learning Protocol Reduces The False Positives Of Human Fusion Gene Prediction, Pora Kim, Hua Tan, Jiajia Liu, Himansu Kumar, Xiaobo Zhou

Faculty, Staff and Student Publications

Even though there were many tool developments of fusion gene prediction from NGS data, too many false positives are still an issue. Wise use of the genomic features around the fusion gene breakpoints will be helpful to identify reliable fusion genes efficiently. For this aim, we developed FusionAI, a deep learning pipeline predicting human fusion gene breakpoints from DNA sequence. FusionAI is freely available via https://compbio.uth.edu/FusionGDB2/FusionAI. For complete details on the use and execution of this protocol, please refer to Kim et al. (2021b).

A Human Breast Cancer-Derived Xenograft And Organoid Platform For Drug Discovery And Precision Oncology, Katrin P Guillen, Maihi Fujita, Andrew J Butterfield, Sandra D Scherer, Matthew H Bailey, Zhengtao Chu, Yoko S Derose, Ling Zhao, Emilio Cortes-Sanchez, Chieh-Hsiang Yang, Jennifer Toner, Guoying Wang, Yi Qiao, Xiaomeng Huang, Jeffery A Greenland, Jeffery M Vahrenkamp, David H Lum, Rachel E Factor, Edward W Nelson, Cindy B Matsen, Jane M Poretta, Regina Rosenthal, Anna C Beck, Saundra S Buys, Christos Vaklavas, John H Ward, Randy L Jensen, Kevin B Jones, Zheqi Li, Steffi Oesterreich, Lacey E Dobrolecki, Satya S Pathi, Xing Yi Woo, Kristofer C Berrett, Mark E Wadsworth, Jeffrey H Chuang, Michael T Lewis, Gabor T Marth, Jason Gertz, Katherine E Varley, Bryan E Welm, Alana L Welm

Faculty, Staff and Students Publications

Microscaled proteogenomics was deployed to probe the molecular basis for differential response to neoadjuvant carboplatin and docetaxel combination chemotherapy for triple-negative breast cancer (TNBC). Proteomic analyses of pretreatment patient biopsies uniquely revealed metabolic pathways, including oxidative phosphorylation, adipogenesis, and fatty acid metabolism, that were associated with resistance. Both proteomics and transcriptomics revealed that sensitivity was marked by elevation of DNA repair, E2F targets, G₂–M checkpoint, interferon-gamma signaling, and immune-checkpoint components. Proteogenomic analyses of somatic copy-number aberrations identified a resistance-associated 19q13.31–33 deletion where LIG1, POLD1, and XRCC1 are located. In orthogonal datasets, LIG1 (DNA ligase I) gene …

Identifying The Metabolic Signatures Of Ppard-Overexpressing Gastric Tumors, Shivanand Pudakalakatti, Mark Titus, José S Enriquez, Sumankalai Ramachandran, Niki M Zacharias, Imad Shureiqi, Yi Liu, James C Yao, Xiangsheng Zuo, Pratip K Bhattacharya

Faculty, Staff and Student Publications

Peroxisome proliferator-activated receptor delta (PPARD) is a nuclear receptor known to play an essential role in regulation of cell metabolism, cell proliferation, inflammation, and tumorigenesis in normal and cancer cells. Recently, we found that a newly generated villin-PPARD mouse model, in which PPARD is overexpressed in villin-positive gastric progenitor cells, demonstrated spontaneous development of large, invasive gastric tumors as the mice aged. However, the role of PPARD in regulation of downstream metabolism in normal gastric and tumor cells is elusive. The aim of the present study was to find PPARD-regulated downstream metabolic changes and to determine the potential significance of …

Transcribed Ultraconserved Regions Are Associated With Clinicopathological Features In Breast Cancer, Erika Pereira Zambalde, Douglas Adamoski, Daniela Fiori Gradia, Iris Rabinovich, Ana Carolina Rodrigues, Cristina Ivan, Enilze M S F Ribeiro, George Adrian Calin, Jaqueline Carvalho De Oliveira

Faculty, Staff and Student Publications

Ultraconserved regions (UCRs) are 481 genome segments, with length longer than 200 bp, that are 100% conserved among humans, mice, and rats. The majority of UCRs are transcriptionally active (T-UCRs) as many of them produce non-coding RNAs. In a previous study, we evaluated the expression level of T-UCRs in breast cancer (BC) patients and found that 63% of transcripts correlated with some clinical and/or molecular parameter of BC. In this study, we delved into the expression levels of 12 T-UCRs and correlated them with clinicopathological parameters, immunohistochemical markers, and overall survival in two breast cancer cohorts: TCGA and Brazilian patients. …

Transcranial Stimulation Of Alpha Oscillations Up-Regulates The Default Mode Network, Kevin J Clancy, Jeremy A Andrzejewski, Yuqi You, Jens T Rosenberg, Mingzhou Ding, Wen Li

Faculty, Staff and Student Publications

The default mode network (DMN) is the most-prominent intrinsic connectivity network, serving as a key architecture of the brain's functional organization. Conversely, dysregulated DMN is characteristic of major neuropsychiatric disorders. However, the field still lacks mechanistic insights into the regulation of the DMN and effective interventions for DMN dysregulation. The current study approached this problem by manipulating neural synchrony, particularly alpha (8 to 12 Hz) oscillations, a dominant intrinsic oscillatory activity that has been increasingly associated with the DMN in both function and physiology. Using high-definition alpha-frequency transcranial alternating current stimulation (α-tACS) to stimulate the cortical source of alpha oscillations, …

Predicting Clinical Response To Everolimus In Er+ Breast Cancers Using Machine-Learning, Aritro Nath, Patrick A Cosgrove, Jeffrey T Chang, Andrea H Bild

Faculty, Staff and Student Publications

Endocrine therapy remains the primary treatment choice for ER+ breast cancers. However, most advanced ER+ breast cancers ultimately develop resistance to endocrine. This acquired resistance to endocrine therapy is often driven by the activation of the PI3K/AKT/mTOR signaling pathway. Everolimus, a drug that targets and inhibits the mTOR complex has been shown to improve clinical outcomes in metastatic ER+ breast cancers. However, there are no biomarkers currently available to guide the use of everolimus in the clinic for progressive patients, where multiple therapeutic options are available. Here, we utilized gene expression signatures from 9 ER+ breast cancer cell lines and …

Metabolic Imaging Using Hyperpolarization For Assessment Of Premalignancy, Shivanand Pudakalakatti, Priyank Raj, Travis C Salzillo, José S Enriquez, Dontrey Bourgeois, Prasanta Dutta, Mark Titus, Shayan Shams, Priya Bhosale, Michael Kim, Florencia Mcallister, Pratip K Bhattacharya

Faculty, Staff and Student Publications

There is an unmet need for noninvasive surrogate markers that can help identify premalignant lesions across different tumor types. Here we describe the methodology and technical details of protocols employed for in vivo

Recurrent Hgnet-Mn1 Altered (Astroblastoma Mn1-Altered) Of The Foramen Magnum: Case Report And Molecular Classification, Sricharan Gopakumar, Malcolm F Mcdonald, Himanshu Sharma, Claudio E Tatsui, Gregory N Fuller, Ganesh Rao

Faculty, Staff and Student Publications

Background: Astroblastoma is a rare primary brain tumor of unclear origin, often occurring in young patients less than 30-years-old. It typically arises supratentorially and is diagnosed based on histological features including vascular hyalinization and perivascular pseudorosettes. Recent molecular characterization of primary CNS high-grade neuroepithelial tumors with meningioma I alteration (HGNET-MN1) found that HGNET-MN1 and tumors with morphological signatures of astroblastoma clustered together. Further analysis revealed such astroblastomas have MN1 alteration and the 2021 WHO classification of tumors of the CNS now recognizes astroblastoma MN1-altered as a new entity.

Case description: Here, we present the case of …

Electrochemical Hydrogen Evolution Over Hydrothermally Synthesized Re-Doped Mos2 Flower-Like Microspheres, Juan Aliaga, Pablo Vera, Juan Araya, Luis Ballesteros, Julio Urzúa, Mario Farías, Francisco Paraguay-Delgado, Gabriel Alonso-Núñez, Guillermo González, Eglantina Benavente

Faculty, Staff and Students Publications

In this research, we report a simple hydrothermal synthesis to prepare rhenium (Re)- doped MoS2 flower-like microspheres and the tuning of their structural, electronic, and electrocatalytic properties by modulating the insertion of Re. The obtained compounds were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HRTEM), Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS). Structural, morphological, and chemical analyses confirmed the synthesis of poorly crystalline Re-doped MoS2 flower-like microspheres composed of few stacked layers. They exhibit enhanced hydrogen evolution reaction (HER) performance with low overpotential of 210 mV at current density of 10 mA/cm2, with a …