Melanie Weigert
Max Planck Society
4 Papers
Melanie Weigert is an academic researcher from Max Planck Society. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 1 publications.
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Papers
Paternal Diet Defines Offspring Chromatin State and Intergenerational Obesity
Anita Öst,Anita Öst,Adelheid Lempradl,Eduard Casas,Melanie Weigert,Theodor Tiko,Merdin Deniz,Lorena Pantano,Ulrike Boenisch,Pavel M. Itskov,Marlon Stoeckius,Marius Ruf,Nikolaus Rajewsky,Gunter Reuter,Nicola Iovino,Carlos Ribeiro,Mattias Alenius,Steffen Heyne,Tanya Vavouri,J. Andrew Pospisilik +19 more
TL;DR: A Drosophila model of paternal-diet-induced intergenerational metabolic reprogramming (IGMR) is presented and evidence that a similar system may regulate obesity susceptibility and phenotype variation in mice and humans is found.
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The glycoprotein CD147 defines miRNA‐enriched extracellular vesicles that derive from cancer cells
TL;DR: In this paper , the glycoproteins CD147 and CD98 define subpopulations of extracellular vesicles (EVs) that are distinct from classical tetraspanin+ EVs in their biogenesis.
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A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing
Ernst Lengyel,Yan Li,Melanie Weigert,Lisha Zhu,Heather Eckart,M.P. Javellana,Sarah Ackroyd,Jason Xiao,Susan A. Olalekan,Dianne Glass,Shilpa Iyer,Rahul Krishnan,Agnes Bilecz,Ricardo R. Lastra,Mengjie Chen,Anindita Basu +15 more
TL;DR: The authors' single-cell transcriptional and regulatory maps allowed us to disentangle the complex cellular makeup of the postmenopausal FT and ovary and will contribute to a better understanding of gynecologic diseases in menopause.
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Diagnostic Performance of Ultrasonography-Based Risk Models in Differentiating Between Benign and Malignant Ovarian Tumors in a US Cohort
Roni Yoeli-Bik,Ryan E. Longman,Kristen Wroblewski,Melanie Weigert,Jacques S. Abramowicz,Ernst Lengyel +5 more
TL;DR: In this article , the authors evaluated the performance of three ultrasonography-based risk models for differentiating between benign and malignant adnexal lesions in a US cohort and found that the risk models performed well.
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