Alejandro Brenes

@AJ_Brenes

PhD candidate in the Lamond and . Focussed on the proteomic characterisation of iPSCs and T cells. 🇨🇷🏴󠁧󠁢󠁳󠁣󠁴󠁿

United Kingdom
Vrijeme pridruživanja: siječanj 2012.

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    28. sij
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    27. sij

    Amino acids in cancer | Experimental & Molecular Medicine

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    26. sij

    reveals the structure of a mitochondrial ATP synthase with bound native cardiolipin

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  5. 26. sij

    Fantastic to see data being shared openly so quickly! has indeed helped change science for the better, and this is a great example of science at its best

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  6. 25. sij

    Who needs your fancy ML classifiers and deep learning models?

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  7. 25. sij

    Happy burns night everyone, hope you get the full years worth of haggis tonight! 🏴󠁧󠁢󠁳󠁣󠁴󠁿

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    A human T cell receptor directs tumor cell killing via recognition of MR1 and cancer cell-derived metabolites

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  9. 23. sij
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    22. sij

    In vivo interactomics is here! Cool stuff!

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    21. sij

    Fantastic work from lab using kinase inhibitors to identify regulated phosphosites and to study changes in kinase signalling in cancer

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    16. sij
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    15. sij

    One of the biggest challenges in phosphoproteomics is to pinpoint which of the 1000s of identified phosphosites are functional. Here we present an experimental approach to systematically do so by combining phosphoproteomics and thermal proteome profiling

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    13. sij

    Great examples why we need proteomics as RNA levels doesn't always show everything.

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  15. 10. sij

    A little preview of what is to come later in the year, but hopefully sooner rather than later. First iteration with over 30 populations and over 10k proteins detetected in murine Hematopoietic cells.

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    10. sij

    Very interesting results from the ! Could be a very good alternative to nLC in

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  17. 7. sij

    One of the mysteries as to why our proteomics data showed Th1 cells expressing such high levels of GZMB might be partially explained! Moonlighting as cytotoxic cells

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  18. 2. sij

    As a tradition I always like to capture the first sunset of year. This year in particular it was particularly beautiful.

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  19. 31. pro 2019.

    - a project that took required months of work resulted in a complete dead end. - technical issues on datasets delayed and made some analysis on them impossible - multiple desk rejections for papers - didn't win a single travel grant for the conferences I wanted to attend

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  20. 31. pro 2019.

    I've quite liked the threads about failures throughout the year, no scientific career is a straight line to success. - started 2019 with 2 paper rejections, one so categorical that the manuscript in that form perished. - progress on the PhD was too slow and required 1 year ext

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