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For aggressive brain tumors (gliomas and brain metastases), there is a pressing need for more real time evaluation of drug distribution and response to therapy than we currently have. Serial tissue sampling would be ideal. pubmed.ncbi.nlm.nih.gov/37488293/ Mustafa Khasraw (find me in BlueSky) The cerebrospinal

Today at #AACRprecmed25, Thomas Kislinger will speak in Plenary Session 6: New Omics for Precision Medicine. Read his work in Cancer Research Communications: brnw.ch/21wRiFy @kislingerthomas #prostatecancer #radioresistance #proteogenomics #genomics #openaccess

Bernhard Küster, Thomas Kislinger, and M. Celeste Simon discussed "New Omics for Precision Medicine" in a plenary session at the AACR Special Conference on Functional and Genomic Precision Medicine in Cancer. #AACRprecmed25 Thomas Kislinger

New review from our team Recent implementations of data-independent acquisition for cancer biomarker discovery in biological fluids pubmed.ncbi.nlm.nih.gov/40227112/

New collaborative work from PhD student Aastha. Using proteomics for CSF-based biomarker discovery Alireza Mansouri Cerebrospinal fluid protein biomarkers are associated with response to multiagent intraventricular chemotherapy in … pubmed.ncbi.nlm.nih.gov/40321620/

bit.ly/4lSlL2S CNS lymphoma is a challenging disease to manage. Intraventricular chemotherapy may hold promise, but not all patients are candidates. Using #CSF #proteomics, here we show that 1) LCP1 may be candidate predictive marker of those who will benefit and 2)

Paper(s) alert from our RESOLUTE - Research Empowerment on Solute Carriers project – In a compilation of four papers in Molecular Systems Biology we show how we were deciphering cellular logistics and present a comprehensive systematic blueprint of chemical transport pathways with #SoluteCarrier transporters

We are proud to announce the publication of CellNEST, deep-learning detection single cell-cell or even "relay" communication on #SpatialTrascriptomics data at single-spot or #SingleCell! Paper: nature.com/articles/s4159… Code: github.com/schwartzlab-me… and github.com/schwartzlab-me…

Identification of non-canonical peptides with moPepGen go.nature.com/3HYJyyz

A new tool, moPepGen, developed by @uhn Princess Margaret Cancer Centre & UCLA Health, can predict & detect unusual proteins involved in cancer and beyond, deducing what cellular processes might have gone wrong to give rise to these mutant peptides. Nature Biotechnology: doi.org/10.1038/s41587…

Our paper on moPepGen is finally out in Nature Biotechnology! moPepGen is a fast graph-based tool for systematically predicting and detecting non-canonical peptides, revealing the “dark side” of the proteome. Hoping it opens new doors in proteogenomics. nature.com/articles/s4158…

Identification of non-canonical peptides with moPepGen pubmed.ncbi.nlm.nih.gov/40523945/

David Geffen School of Medicine at UCLA UCLA Health UCLA Jonsson Comprehensive Cancer Center Temerty Medicine Princess Margaret Cancer Centre Research Vector Institute Boutros Lab Thomas Kislinger Chenghao Zhu Proteogenomics algorithm improves the detection of hidden genetic mutations #NBTIntheNews via Genetic Engineering & Biotechnology News genengnews.com/topics/artific…

Just came across a fantastic article covering our work on moPepGen — truly honored by the thoughtful writing and high praise. Grateful to see our efforts in advancing proteogenomics recognized like this. forwardpathway.us/mopepgen-a-new…

Phenotypic screens for SIRPA expression reveal RAB21 as a general regulator of macrophage surface identity dlvr.it/TLfG4z

Phenotypic screens for SIRPA expression reveal RAB21 as a general regulator of macrophage surface identity: Cell Reports cell.com/cell-reports/f…