Browsing by Author "Abdelgawad, Ahmed"
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Item Development of an efficient, effective, and economical technology for proteome analysis(Cell Reports: Methods, 2024-06-11) Martin, Katherine R.; Le, Ha T.; Abdelgawad, Ahmed; Yang, Canyuan; Lu, Guotao; Keffer, Jessica L.; Zhang, Xiaohui; Zhuang, Zhihao; Asare-Okai, Papa Nii; Chan, Clara S.; Batish, Mona; Yu, YanbaoHighlights • Rapid, robust, and cost-effective alternative to proteomics sample preparation • Versatile filter devices can meet a wide range of proteomics analysis needs • On-filter in-cell digestion facilitates low-input proteomics • Ready-to-go E3 and E4 filter devices are available Motivation Conventional proteomics sample processing methods often have high technical barriers to broad biomedical scientists, leading to difficulties for quick adoption and standardization. Existing protocols are also typically associated with costly reagents and accessories, making them less feasible for resource-limited settings as well as for clinical proteomics and/or core facilities where large numbers of samples are usually processed. Thus, there is a strong unmet need for an easy-to-use, reliable, and low-cost approach for general proteomics sample preparation. Summary We present an efficient, effective, and economical approach, named E3technology, for proteomics sample preparation. By immobilizing silica microparticles into the polytetrafluoroethylene matrix, we develop a robust membrane medium, which could serve as a reliable platform to generate proteomics-friendly samples in a rapid and low-cost fashion. We benchmark its performance using different formats and demonstrate them with a variety of sample types of varied complexity, quantity, and volume. Our data suggest that E3technology provides proteome-wide identification and quantitation performance equivalent or superior to many existing methods. We further propose an enhanced single-vessel approach, named E4technology, which performs on-filter in-cell digestion with minimal sample loss and high sensitivity, enabling low-input and low-cell proteomics. Lastly, we utilized the above technologies to investigate RNA-binding proteins and profile the intact bacterial cell proteome. Graphical abstract available at: https://doi.org/10.1016/j.crmeth.2024.100796Item RNA Landscapes of Brain and Brain-Derived Extracellular Vesicles in Simian Immunodeficiency Virus Infection and Central Nervous System Pathology(The Journal of Infectious Diseases, 2023-12-11) Huang, Yiyao; Abdelgawad, Ahmed; Turchinovich, Andrey; Queen, Suzanne; Abreu, Celina Monteiro; Zhu, Xianming; Batish, Mona; Zheng, Lei; Witwer, Kenneth W.Background Brain tissue-derived extracellular vesicles (bdEVs) act locally in the central nervous system (CNS) and may indicate molecular mechanisms in human immunodeficiency virus (HIV) CNS pathology. Using brain homogenate (BH) and bdEVs from a simian immunodeficiency virus (SIV) model of HIV disease, we identified RNA networks in SIV infection and neuroinflammation. Methods Postmortem occipital cortex samples were obtained from uninfected controls and SIV-infected subjects (acute and chronic phases with or without CNS pathology [SIV encephalitis]). bdEVs were separated and characterized per international consensus guidelines. RNAs from bdEVs and BH were sequenced and quantitative polymerase chain reaction (qPCR)-amplified to detect levels of small RNAs (sRNAs, including microRNAs [miRNAs]) and longer RNAs including messenger RNAs (mRNAs) and circular RNAs (circRNAs). Results Dysregulated RNAs in BH and bdEVs were identified in acute and chronic infection with pathology groups, including mRNAs, miRNAs, and circRNAs. Most dysregulated mRNAs in bdEVs reflected dysregulation in source BH. These mRNAs are disproportionately involved in inflammation and immune responses. Based on target prediction, several circRNAs that were differentially abundant in source tissue might be responsible for specific differences in sRNA levels in bdEVs during SIV infection. Conclusions RNA profiling of bdEVs and source tissues reveals potential regulatory networks in SIV infection and SIV-related CNS pathology.