Allegra Wundersitz | Signal Transduction Mechanisms | Young Scientist Award

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Mrs. Allegra Wundersitz | Signal Transduction Mechanisms | Young Scientist Award

Mrs. Allegra Wundersitz , RWTH Aachen University, Molekulare Ökologie der Rhizosphäre , Germany

Allegra Wundersitz is a passionate molecular biologist currently pursuing her PhD at RWTH Aachen University, Germany, in the group of Molecular Ecology of the Rhizosphere. Her research delves into the molecular mechanisms of plant oxygen sensing and the regulatory role of acyl-CoA-binding proteins (ACBPs) in stress signaling. Allegra has been recognized for her academic excellence, receiving the ISPA Poster Award and the Best Botanic Master’s Thesis Award from the German Society for Plant Sciences (DBG). With expertise in cloning, yeast-two-hybrid, luciferase complementation, and computational modeling, she seamlessly integrates biochemical and molecular approaches. Allegra actively collaborates with interdisciplinary teams, bridging plant physiology, structural biology, and molecular dynamics. Her commitment to research and mentoring makes her a promising young scientist aiming to contribute not only to fundamental plant science but also to translational applications in health and agriculture.

Publication Profile:

Orcid

✅ Strengths for the Award:

  • Innovative Research Focus: Allegra’s work on acyl-CoA-binding proteins (ACBPs) in plant oxygen sensing and stress signaling demonstrates high originality. Her approach of integrating protein biochemistry, gene regulation, and computational modeling is both novel and impactful.

  • Early Recognition: Despite being in the early stages of her career, she has received notable honors, including the ISPA Poster Award and the Best Master’s Thesis Award (DBG)—highlighting the quality and relevance of her work.

  • Interdisciplinary Collaboration: She engages with experts in molecular dynamics and structural biology, enriching her research with advanced modeling of protein mutations—showing strong collaborative and technical competencies.

  • Mentorship & Leadership: Supervising undergraduate students showcases her commitment to academic development and science communication.

  • Publication Record: Her first peer-reviewed article in New Phytologist indicates strong potential for growing her scientific influence.

🧩 Areas for Improvement:

  • Professional Engagement: Joining relevant scientific societies or organizations could enhance her visibility, offer networking opportunities, and provide access to grants or awards.

  • Industry Exposure: While her current focus is on basic science, even limited engagement with applied research or biotechnology partnerships could broaden the translational scope of her work.

  • Publication Volume: As her research matures, expanding her publication record beyond reviews into primary experimental studies will strengthen her academic profile.

🎓 Education:

Allegra Wundersitz holds a Master’s degree in Plant Molecular Biology, where her thesis on acyl-CoA-binding proteins (ACBPs) earned national recognition by the German Society for Plant Sciences in 2024. She is currently a PhD student at RWTH Aachen University, Germany, specializing in the molecular ecology of the rhizosphere. Her academic training spans core fields such as structural biochemistry, plant physiology, and gene regulation. Through hands-on learning and international workshops, she has developed technical proficiency in protein interaction assays, biosensor design, and in silico modeling. Her education emphasizes a multidisciplinary approach, blending experimental and computational biology. She has also supervised undergraduate research projects, further strengthening her academic leadership. Allegra’s educational journey reflects her deep curiosity for understanding molecular mechanisms in plant biology and their broader implications.

🧪 Experience:

Allegra’s experience is rooted in academic molecular biology research. During her Master’s and now as a PhD candidate, she has completed two significant research projects: developing plant-based oxygen biosensors and exploring the role of ACBPs in gene regulation. Her current PhD project investigates how ACBPs act as acyl-CoA receptors, mediating responses to oxygen and stress in plants. She employs techniques such as yeast two-hybrid assays, luciferase complementation, cloning, and molecular modeling. Allegra has also collaborated with experts in molecular dynamics, including Prof. Maria Fyta and Dr. Chandan Das, to simulate structural effects of ACBP mutations. She has presented her work at international conferences and received a prestigious poster award at ISPA. Allegra is gaining valuable teaching experience through undergraduate supervision, making her a well-rounded early-career scientist. Though she has not yet worked in industry, her work holds potential translational value in agriculture and health.

🔍 Research Focus:

Allegra’s research centers on the role of acyl-CoA-binding proteins (ACBPs) as key molecular players in plant oxygen sensing and stress signaling. She investigates how ACBPs function as acyl-CoA receptors and modulate gene expression through dynamic protein-protein interactions. Her goal is to uncover how lipid signals like acyl-CoAs are translated into physiological responses under stress conditions. Using a combination of experimental techniques—such as cloning, luciferase complementation assays, yeast-two-hybrid screens—and computational molecular dynamics, she deciphers the structural and functional aspects of ACBP interactions. Her research not only expands fundamental plant molecular biology but also contributes insights with potential applications in crop resilience, metabolic regulation, and even human health, given ACBPs’ links to cancer and metabolic disorders. Through interdisciplinary collaboration, Allegra aims to bridge structural biochemistry and plant physiology to understand how cells adapt to fluctuating oxygen and energy levels.

📚 Publications Top Notes:

  • 🧬 Acyl-CoA-binding proteins: bridging long-chain acyl-CoA metabolism to gene regulation – Tansley Insight, New Phytologist (April 22, 2025)

🧾 Conclusion:

Allegra Wundersitz is a highly promising young researcher who combines technical excellence, creativity, and interdisciplinary integration in her approach to plant molecular biology. Her foundational work on ACBPs not only deepens our understanding of plant stress responses but also hints at broader implications in health and metabolic research. With her trajectory and dedication, she is an ideal candidate for the Young Scientist Award, and this recognition would further support her impactful scientific journey.

Alexej Abyzov | Gene Regulation Epigenetics | Best Researcher Award

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Dr. Alexej Abyzov | Gene Regulation Epigenetics | Best Researcher Award

Dr. Alexej Abyzov , Mayo Clinic , United States

Dr. Alexej Abyzov is an Associate Professor of Biomedical Informatics at the Mayo College of Medicine and a consultant at the Mayo Clinic’s Department of Quantitative Health Sciences. He is also an adjunct professor at Yale University and a graduate faculty member at the University of Minnesota. Dr. Abyzov’s research focuses on computational biology and bioinformatics, particularly in understanding genomic variability, somatic mosaicism, and the genetic basis of neurodevelopmental disorders. He has made substantial contributions to the study of human genome structure and its impact on health. Dr. Abyzov has led numerous research projects funded by NIH and has published extensively in high-impact journals. He is a respected speaker, having presented at international conferences and workshops. Beyond his research, Dr. Abyzov is involved in mentorship and community service, contributing to education and outreach efforts in science and technology.

Publication Profile:

Google Scholar

Strengths for the Award:

Dr. Alexej Abyzov’s work exemplifies excellence in the field of Biomedical Informatics and Computational Biology. His remarkable research contributions span areas such as genetic variation, neurodevelopment, and the understanding of neuropsychiatric diseases. He has been an integral part of cutting-edge projects like investigating somatic mosaicism in schizophrenia and modeling autism in organoids. His ability to bridge the gap between computational techniques and biological applications is demonstrated in his extensive list of high-impact publications, many of which have been published in top-tier journals like Science and Nature. Furthermore, his leadership role in symposia and collaborations with renowned institutions such as Yale University and the University of Minnesota showcases his influence in the scientific community.

Areas for Improvement:

Although Dr. Abyzov has an impressive track record, expanding the outreach of his work into more interdisciplinary collaborations and ensuring greater engagement with clinical applications could enhance the direct societal impact of his findings. Additionally, increasing public-facing communication of his research could foster more public awareness and policy implications, given the importance of his work in understanding neurodevelopmental and psychiatric disorders

Education:

Dr. Alexej Abyzov holds a Ph.D. in Biomedical Informatics, which laid the foundation for his career in computational biology. He began his academic journey with a focus on bioinformatics, later earning a tenure-track faculty position in 2014 at Mayo College of Medicine. In 2020, he was promoted to Associate Professor in Biomedical Informatics. Dr. Abyzov is also an adjunct professor at Yale University’s Child Study Center, where he continues to collaborate on research projects involving neurodevelopmental disorders. Throughout his academic career, Dr. Abyzov has been involved in shaping educational curricula and mentoring students and researchers, providing opportunities for both hands-on research and professional development. He has served as a graduate faculty member at the University of Minnesota, emphasizing his broad academic influence. His educational background is complemented by ongoing work in the development of new bioinformatics tools and approaches for genomics research.

Experience:

Dr. Alexej Abyzov’s career has been marked by continuous growth and contributions in the field of biomedical informatics. He is currently an Associate Professor at Mayo College of Medicine and a Consultant in the Department of Quantitative Health Sciences at Mayo Clinic. Since 2016, he has also served as an adjunct professor at Yale University and has been a part of the Graduate Faculty at the University of Minnesota. His experience includes supervising summer interns, Ph.D. students, and post-doctoral fellows. Dr. Abyzov’s work in bioinformatics has helped lead groundbreaking studies on somatic mosaicism, genetic mutations, and neurodevelopmental disorders. He has actively participated in a number of international collaborations, including co-chairing a symposium at the Molecular Psychiatry Association and providing consulting services for personalized medicine projects. Through his diverse teaching and research roles, Dr. Abyzov has significantly advanced the field of computational biology and genomics.

Awards and Honors:

Dr. Alexej Abyzov has received numerous accolades throughout his career, reflecting his significant contributions to the field of biomedical informatics. He was elected as a member of the New York Academy of Sciences in 2008, a prestigious recognition for his early career achievements. In 2007, he became a member of The Honor Society of Phi Kappa Phi, acknowledging his academic excellence. Dr. Abyzov was also inducted into the International Society for Computational Biology (ISCB) in 2005, further solidifying his position as a leader in the field of bioinformatics. These recognitions underscore his dedication to advancing scientific knowledge, especially in genomics and computational biology. Dr. Abyzov’s honors serve as a testament to his ability to drive meaningful research, collaborate with other leading scientists, and contribute to educational initiatives, all while maintaining a strong commitment to community outreach and mentorship.

Research Focus:

Dr. Alexej Abyzov’s research focuses on bioinformatics, computational biology, and human genomics, with an emphasis on understanding the role of genetic and somatic mutations in health and disease. His work has greatly advanced the understanding of somatic mosaicism, particularly in neurodevelopmental disorders like autism spectrum disorder and Tourette syndrome. He is also deeply involved in exploring the molecular mechanisms behind genetic mutations in the brain, investigating how these mutations may contribute to mental health disorders such as schizophrenia. Dr. Abyzov is known for developing innovative tools and methodologies for analyzing large-scale genomic data, including CNVpytor and CRISPR-Cas editing. His research also explores transgenerational transmission of mutations, revealing insights into how genetic variations are passed down through generations. By combining computational biology with experimental data, Dr. Abyzov’s work provides critical insights into the genetic basis of complex diseases, offering potential pathways for personalized medicine and targeted treatments.

Publications Top Notes:

  1. Interneuron loss and microglia activation in Tourette disorder 🔬🧠 (2025)

  2. Transgenerational transmission of post-zygotic mutations in human germline 🔬👶🧬 (2024)

  3. Somatic mosaicism in schizophrenia reveals prenatal mutational processes 🧠🧬 (2024)

  4. Genome-wide analysis of copy number with CNVpytor in igv.js 💻📊 (2024)

  5. Resolving the 22q11.2 deletion with CTLR-Seq 🧬🔍 (2024)

  6. Characterization of enhancer activity using MPRA and forebrain organoids 🧬🔬 (2024)

  7. Genomic resources of the Brain Somatic Mosaicism Network for neuropsychiatric diseases 🧠🧬 (2023)

  8. Modeling idiopathic autism in forebrain organoids reveals imbalances in excitatory neurons 👶🧠 (2023)

  9. Clonally Selected Lines After CRISPR-Cas Editing Are Not Isogenic 🧬⚙️ (2023)

  10. Efficient reconstruction of cell lineage trees for cancer and cell ancestry 🧬🧪 (2023)

Conclusion:

Dr. Alexej Abyzov is an ideal candidate for the Research for Best Researcher Award due to his profound contributions to the understanding of genetic and somatic variation, his leadership in major collaborative research efforts, and his ongoing influence in shaping the field of Biomedical Informatics. His ongoing work and future potential make him a standout figure for this prestigious recognition.