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Christina Schmidt

@christinaschmidt.bsky.social
145 followers 147 following 0 posts

⚛️ Postdoc in Computational Biomedicine @saezlab.bsky.social @Heidelberg 🧪 Facinated by Cancer Metabolism, Gene Regulation & Multiomics 🎓 Previously @frezzalab.bsky.social @Cambridge_Uni and @Wuerzburg_Uni 🧫 Love to paint Scienceart

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Reposted by Christina Schmidt
Saez-Rodriguez Group @saezlab.bsky.social · 25/08/2025
We present our MetaProViz #Rpackage for #metabolomics analysis & prior knowledge integration to generate mechanistic hypotheses on how metabolic changes affect metabolite classes, pathways & environment interaction 🔗 www.biorxiv.org/content/10.1... 📦 saezlab.github.io/MetaProViz/ 🧵 Thread ⬇️
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Reposted by Christina Schmidt
Christian Frezza @frezzalab.bsky.social · 05/12/2024
We are excited to provide a short Bluetorial on our work led by our postdoc @christinaschmidt.bsky.social & Ariane Mora (Boden Lab), who developed SiRCle to reveal mechanisms of phenotype regulation, which I posted recently. (1/14)🧪
genomemedicine.biomedcentral.com
SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer - Genome Medicine
Background Clear cell renal cell carcinoma (ccRCC) tumours develop and progress via complex remodelling of the kidney epigenome, transcriptome, proteome and metabolome. Given the subsequent tumour and...
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Reposted by Christina Schmidt
Christian Frezza @frezzalab.bsky.social · 04/12/2024
SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer Please check this work from Christina Schmidt and Ariane Mora, in collaboration with the Boden lab. We explore the regulatory network of ccRCC. 🧪 link.springer.com/article/10.1...
link.springer.com
SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer - Genome Medicine
Background Clear cell renal cell carcinoma (ccRCC) tumours develop and progress via complex remodelling of the kidney epigenome, transcriptome, proteome and metabolome. Given the subsequent tumour and...
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