Marta Cascante Lab

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Marta Cascante Lab

Marta Cascante Lab

@CascanteLab

Integrative Systems Biology, Metabolomics and Cancer group at @IBUB_UB, Dept of Biochemistry and Molecular Biomedicine, Faculty of @BiologiaUB, @UniBarcelona

Barcelona, Espanya Katılım Mart 2021
325 Takip Edilen164 Takipçiler
Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
Dr. Basellini - “Assessment of cell and metabolic impacts of Microtubule Targeting Agents (MTA) in neurodegeneration and neuron models” 👏 Dr. Santhapuri @ssprashanth99 - “Study of metabolic adaptations in neurological diseases in the search of new therapeutical strategies” 👏
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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
A few weeks ago, two members of our group successfully defended their PhD theses 🎓 Huge congratulations to both for the hard work and dedication! 🚀🧠 #PhDDefense #ResearchLife
Marta Cascante Lab tweet mediaMarta Cascante Lab tweet media
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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
Gran experiència al congrés #11MetNetInt, organitzat per @MetNet_Bcn i la Societat Catalana de Biologia @SCB_iec a l’històric edifici de l’IEC! 😍 Vam presentar 4 pòsters i una short talk de la Dra. Cascante 🎙️ Un congrés inspirador que impulsa la #recerca en #metabolisme 🧫
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IBUB-UB
IBUB-UB@IBUB_UB·
Congratulations to Prof. Marta Cascante (#IBUB, @UniBarcelona) on being named Honorary Fellow of @MetabolomicsSoc! She has pioneered dynamic metabolic flux analysis and its use to identify metabolic drug targets and disease subtypes, and has strongly supported young scientists.
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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
Presentem el nostre pòster "From Core to Full Genome-Scale: Modelling Cancer Metabolism with Enhanced Predictive Power" al #JBI2025 XV Symposium on Bioinformatics. 🔍 Hem combinat enfocaments top-down i bottom-up per construir #models metabòlics més realistes en #càncer de còlon.
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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
We presented our work "From Core to Full Genome-Scale: Modelling Cancer Metabolism with Enhanced Predictive Power" at #JBI2025 XV Symposium on Bioinformatics 🖥️ 🔍 We combined top-down and bottom-up approaches to build more realistic metabolic #models for CRC. #CancerMetabolism
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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
Excited to share our latest research, now out in @Oncogene! We reveal new insights from combining Palbociclib and glutaminase inhibition in colorectal cancer. Check it out:
Oncogene Journal@oncogenejournal

Research at @IBUB_UB found that combining Palbociclib and a Glutaminase inhibitor has a strong synergistic effect, preventing #resistance and significantly reducing tumor growth in #colorectal cancer cells. Read the article here >>>>> nature.com/articles/s4138…

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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
Great environment to share our work and learn about the latest developments at the10th @MetNet_Bcn meeting on Mitochondria Metabolism in Health and Disease. Shout out to our former PhD @jtarragocelada for the amazing presentation of his research at @TheCrick!
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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
Last week, we were honored to attend the inaugural congress of the Sociedad Española de Bioinformática y Biología Computacional. We learned a lot about new trends and the state-of-the-art in bioinformatics in Spain! Exciting times ahead! #SEBiBC #Bioinformatics"
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Marta Cascante Lab
Marta Cascante Lab@CascanteLab·
Exciting times at the EACR 2024 Cancer Metabolism Congress in Bilbao a couple of weeks ago! We shared our latest findings and connected with fellow researchers in the field. Stay tuned for more updates! #EACR2024 #CancerResearch Thanks to the organisers @ArkaitzLab
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The Nobel Prize
The Nobel Prize@NobelPrize·
BREAKING NEWS The 2024 #NobelPrize in Physiology or Medicine has been awarded to Victor Ambros and Gary Ruvkun for the discovery of microRNA and its role in post-transcriptional gene regulation.
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The Nobel Prize
The Nobel Prize@NobelPrize·
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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