جست‌وجوی استاد و پژوهشگر

Zhipeng Luمشاهده پروفایل

دانشیار

• RNA biology
• RNA structures
• RNA machines
• +۷ مورد دیگر

Zhipeng Lu is currently an Associate Professor of Pharmacology and Pharmaceutical Sciences at the University of Southern California (USC) School of Pharmacy. His research focuses on understanding RNA molecules and their structural complexity as a second layer of genetic instructions beyond protein encoding. He directs the Lu Lab at USC, which develops and applies novel technologies to investigate RNA structures, interactions, chemical modifications, and functions in cellular processes and animal development. Dr. Lu's research interests center on "RNA machines" in living cells, with particular emphasis on how RNA molecules fold into structures and form intermolecular interactions to execute genetic instructions. His work spans multiple dimensions of RNA biology, including RNA structure-function relationships, RNA-protein interactions, RNA modifications, and the role of RNA in human diseases such as genetic disorders and viral infections. The lab combines computational, chemical, and biological approaches to elucidate fundamental mechanisms of RNA machines, with the ultimate goal of developing new understanding and therapies targeting human diseases. Analysis of Dr. Lu's publication history reveals a strong trajectory in RNA structure and interaction mapping technologies. His work has evolved from foundational studies on RNA processing and modification to developing innovative high-throughput methods like PARIS and RISE for analyzing RNA interactomes. Recent publications focus on specific RNA systems like XIST and snoRNAs, demonstrating how his lab has moved from method development to applying these tools to solve longstanding biological questions in epigenetics and RNA therapeutics. Dr. Lu has received numerous prestigious awards recognizing his contributions to RNA research: NHGRI K99/R00 NIH Pathway to Independence Award (2017-2022) RNA Society Scaringe Award (2017) Stanford University Jump Start Award for Excellence in Research (2016-2017) Damon Runyon-Sohn Fellowship (2015-2017) His research is supported by multiple funding sources from organizations including the National Institutes of Health and other foundations. The Lu Lab is actively recruiting PhD students and postdoctoral researchers to work on several cutting-edge directions including RNA structures, interaction networks, RNA modification mechanisms, and their roles in development and disease. The lab integrates biological, chemical, and computational approaches to advance RNA biology and push forward RNA medicine. The Lu Lab at USC is a dynamic research environment focused on "RNA machines" with recent highlights including solving aspects of the orphan snoRNA problem and discovering snoRNAs that control eMet tRNA activity. The lab's vision emphasizes creative exploration of RNA biology, with researchers encouraged to pursue innovative ideas much like "wild animals running in the African savannah." Current research directions include analysis of RNA structures, interaction networks, RNA modification mechanisms, and their roles in development and disease, with applications to genetic disorders, cancers, and viral infections.

Pernilla Wikströmمشاهده پروفایل

استاد

• Biomarkers for aggressive prostate cancer
• Proteomics
• Metabolomics
• +۵ مورد دیگر

Pernilla Wikström is a Professor at the Department of Medical Biosciences, Section of Pathology at Umeå University, Sweden. She also serves as Assistant Director at the Wallenberg Centre for Molecular Medicine at Umeå University (WCMM). Her research activities are centered at Umeå universitet, with offices located at By 6M, vån 2, Sjukhusområdet (901 85 Umeå) for her primary position and at Umeå universitet, 901 87 Umeå for her WCMM role. Dr. Wikström's research focuses on biomarker discovery for aggressive prostate cancer, with particular emphasis on early detection methods that can distinguish potentially lethal forms at curable stages. Her lab employs advanced proteomics, metabolomics, and genomics techniques to analyze blood and tissue samples, aiming to develop sensitive diagnostic tools and identify novel therapeutic targets. The research group investigates molecular subtypes of prostate cancer, bone metastasis mechanisms, and the relationship between androgen receptor activity and tumor progression. Analysis of her recent publications reveals a strong focus on molecular classification of prostate cancer subtypes, with particular attention to bone metastasis and treatment resistance mechanisms. Her work increasingly integrates multi-omics approaches to identify clinically actionable biomarkers, with significant contributions to understanding how tumor microenvironment, immune response, and metabolic profiles relate to disease progression and therapeutic outcomes. Recipient of research funding through the Swedish Cancer Society Involved in Umeå University's New Cancer Fund initiative (30 million SEK total for ten projects) Dr. Wikström leads the Pernilla Wikström Lab, which currently oversees the SPRINTR project (September 2023-February 2027) and previously directed research on 'Biomarkers for aggressive prostate cancer' (2007-2010). Her research group maintains extensive collaborations with other prostate cancer researchers, as evidenced by her numerous co-authored publications across multiple high-impact journals. The Pernilla Wikström Lab at Umeå University represents a significant research hub for prostate cancer biomarker discovery, combining molecular techniques with clinical applications to improve patient outcomes. The lab's work bridges basic science and clinical practice, with findings directly informing potential diagnostic tools and therapeutic strategies for aggressive prostate cancer forms.

Rolf Backofenمشاهده پروفایل

استاد

• Bioinformatics
• Constraint Programming
• Protein Structure Prediction
• +۵ مورد دیگر

Prof. Dr. Rolf Backofen is a full Professor of Bioinformatics in the Department of Computer Science at the Faculty of Engineering, Albert-Ludwigs-Universität Freiburg, Germany. He leads the Chair for Bioinformatics and has been a central figure in advancing computational methods in molecular biology. His work bridges computer science and life sciences, particularly in modeling biological sequences and structures. His research interests include: Constraint programming in biological modeling Protein structure prediction using simplified models Analysis of protein energy landscapes Detection of RNA sequence/structure motifs Prediction and evaluation of alternative splice forms Identification and description of regulatory sequences He is also coauthor of the well-regarded textbook Computational Molecular Biology: An Introduction (Wiley & Sons, 2000). Rolf Backofen received his PhD in Computer Science from Saarland University in 1994, where he worked at the German Research Center for Artificial Intelligence (DFKI). He completed his habilitation at Ludwig-Maximilians-Universität (LMU) Munich in February 2000. He served as Chair for Bioinformatics at the University of Jena from November 2001 to June 2005 before joining the University of Freiburg, where he has held the Chair for Bioinformatics since. Despite the unavailability of the full publication list due to a server error (404), his scholarly impact is evident through his long-standing academic leadership and textbook contribution. He maintains an Erdös number of 3 via multiple paths. He is actively involved in research and supervision, though specific names of advisees and current grants are not listed in the text. His lab, part of the Institute of Computer Science at Freiburg, focuses on algorithmic bioinformatics and computational biology, contributing significantly to the European bioinformatics research community.

• Bioinformatics
• Molecular Biology
• Genomics
• +۳ مورد دیگر

Paramjeet Bagga is a Professor of Biology at Ramapo College of New Jersey's School of Theoretical and Applied Science, where he has taught since 1999. He serves as Convener of Bioinformatics and teaches courses including Microbiology, Bioinformatics, and Cell & Molecular Biology. Education: Earned B.S., M.S., M.Phil, and Ph.D. degrees from Guru Nanak Dev University in Amritsar, India. Research Focus: Dr. Bagga's laboratory investigates interactions between cellular proteins and conserved G-quadruplex forming regulatory motifs that influence human gene expression. Using bioinformatics tools developed in his lab, he conducts transcriptome-wide studies of G-quadruplex distribution patterns in genes related to cancer, apoptosis, autism, dementia, and Parkinson's disease. His research frequently involves collaborations with Mathematics and Computer Science faculty and actively engages undergraduate students. Publications: His extensive publication record demonstrates consistent focus on computational biology and gene regulation, particularly concerning G-quadruplex motifs. Recent work emphasizes bioinformatics tool development (QGRS Mapper, GRSDB), database creation for regulatory sequences, and applications in neurological disorder research. Student Engagement: Dr. Bagga mentors undergraduate researchers in bioinformatics projects year-round, with students regularly presenting work at national conferences like ISMB and RNA Society meetings. Academic Development: He established Ramapo College's undergraduate Bioinformatics degree program and maintains an active research laboratory investigating RNA regulatory mechanisms.

• Prostate Cancer
• Metastatic Castration-Resistant Prostate Cancer (mCRPC)
• Cancer Genetics
• +۷ مورد دیگر

Emmanuel Antonarakis is a Professor in the Department of Medicine at the University of Minnesota, School of Medicine, specializing in Hematology, Oncology, and Transplant Genetics. His research is centered on the mechanisms of cancer, particularly in the context of prostate cancer and its progression to castration-resistant forms. Institution: University of Minnesota School: School of Medicine Department: Department of Medicine Role: Professor and Principal Investigator His research interests include prostate cancer biology, androgen receptor signaling, metastatic castration-resistant prostate cancer (mCRPC), liquid biopsy, biomarker discovery, and novel therapeutic strategies such as bipolar androgen therapy and immunotherapy. He is actively involved in translational research, bridging laboratory findings to clinical applications. The recent articles highlight a strong focus on developing and evaluating new treatments for prostate cancer, including immune-based therapies targeting PSMA, pharmacokinetic studies of novel agents like ACE-232, and biomarker development for radioligand therapy. There is a clear trend toward precision oncology, leveraging proteogenomics, circulating tumor DNA, and AI-designed therapeutics to improve patient outcomes. Dr. Antonarakis leads multiple significant research projects funded by the Prostate Cancer Foundation, Novartis, US Department of Defense, and biotech companies. These projects focus on cellular plasticity in CRPC, immune cell-mediated eradication of cancer cells, and biomarker development for advanced therapies. AI-Designed Mini-Proteins for Immune Eradication of CRPC Liquid Biopsy Biomarkers for 177Lu-PSMA Therapy Phase 1 Trials of Novel Agents in mCRPC Targeting Alternative Polyadenylation in CRPC He has no listed scientific awards in the provided text, but his extensive publication record and leadership in high-impact clinical trials indicate significant recognition in the field. He collaborates widely with experts in oncology, genetics, and immunology, and his work contributes to UN Sustainable Development Goals related to good health and well-being.

• Computational Biology
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Yixin Chen serves as Chair and Professor in the Department of Computer and Information Science at the University of Mississippi, holding dual Ph.D. credentials in Electrical Engineering and Computer Science. His educational background includes: B.S. in Electrical Engineering from Beijing Polytechnic University (1995) M.S. in Electrical Engineering from Tsinghua University (1998) M.S. in Electrical Engineering from the University of Wyoming (1999) Ph.D. in Electrical Engineering from the University of Wyoming (2001) Ph.D. in Computer Science from Pennsylvania State University (2003) Professor Chen's research demonstrates exceptional interdisciplinary breadth, with Computational Biology forming the dominant theme in recent work—particularly protein structure analysis, antibody interactions, and cancer genomics. His Machine Learning contributions span feature selection, classification algorithms, and deep learning optimization, while Computer Vision applications focus on medical imaging and industrial defect detection. Methodologically, he integrates statistical learning, graph-based models, and spatial relationship analysis to solve complex biomedical problems. Analysis of his publication trajectory reveals a strategic pivot toward bioinformatics since 2020, with protein structure methods (TSR-based approaches) dominating his highest-impact recent work. This complements sustained contributions to statistical learning (Gini correlation/distance methods) and computer vision (Faster R-CNN applications), creating a cohesive research program bridging theoretical algorithms and biomedical applications. As department chair, Professor Chen provides academic leadership. While specific advising details and grant information aren't provided in source materials, his prolific publication record across top venues indicates an active research program with significant real-world impact in medical diagnostics and industrial automation.