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Meinusha retweeted
Jan 23
Checkout our new paper published in @CellRepMed.
cell.com/cell-reports-medici…
Fantastic work by Meinusha Govindarajan @meinusha and Salvador Mejia-Guerrero with lots of help from our many collaborators and colleagues. #glycotime
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Meinusha retweeted
7 Sep 2025
Checkout the latest preprint from @meinusha - the final part of her PhD
Surface proteomics reveals arginine metabolism as a vulnerability in high grade serous ovarian cancer biorxiv.org/content/10.1101/…
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Meinusha retweeted
16 Jun 2025
checkout our latest paper in @NatureBiotech. We developed a graph-based algorithm that comprehensively generates non-canonical peptides in linear time. nature.com/articles/s41587-0…
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Meinusha retweeted
16 May 2025
Excited to share our first lab paper, now published in @Dev_Cell!
🧠 How do glioblastoma (GBM) cells invade the brain, and what enables them to spread so effectively?
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Meinusha retweeted
25 Feb 2025
CSF protein biomarkers are associated with response to multi-agent intraventricular chemotherapy in patients with CNS lymphoma academic.oup.com/noa/article…
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Meinusha retweeted
1 Jan 2025
Our study on T-ALL heterogeneity is out! We show ~1/3 of T-ALLs express inflammatory/stem signatures and are sensitive to venetoclax. Huge congrats to @gowerfulScience for leading the way, @s_jahangiri, and the entire team!
science.org/doi/10.1126/scit…
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Meinusha retweeted
30 Dec 2024
Last paper for 2024. Nice work by @mrwaas on proteomics of HNSCC tissues to identify novel biomarkers within the N0 population. Great collaboration with @laillesuhnrese1 and support from many colleagues @PMResearch_UHN
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Meinusha retweeted
14 Dec 2024
Big effort (> 7 years) from a large number of colleagues. Finally on BioRxiv and to be submitted in January
Pan-cancer N-glycoproteomic atlas of patient derived xenografts uncovers FAT2 as a therapeutic target for head and neck cancers biorxiv.org/content/10.1101/…
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Meinusha retweeted
18 Oct 2024
Nice work by Matt @mrwaas and rest of the team to put this protocol together
Protocol for generating high-fidelity proteomic profiles using DROPPS sciencedirect.com/science/ar…
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Meinusha retweeted
13 Jun 2024
Proteomics on 800 urine fractions from prostate cancer patients (soluble fraction and EVs). Outstanding work by @amandakhoo4 @meinusha and Zhuyu Qui. It was a long process to get this published
nature.com/articles/s41467-0…
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Come check out @mrwaas awesome poster on using DROPPS to dissect mammary stem cell heterogeneity at MP 773 @KislingerThomas #ASMS2024
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Meinusha retweeted
24 Apr 2024
Congratulations @mrwaas for securing the cover for his Dropps paper cell.com/cell-reports-method…
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Meinusha retweeted
8 Apr 2024
moPepGen: Rapid and Comprehensive Proteoform Identification pubmed.ncbi.nlm.nih.gov/3858…
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Meinusha retweeted
6 Apr 2024
Second paper in two days. Great work by @AnnieHahkl and @amandakhoo4
Comprehensive Prostate Fluid-Based Spectral Libraries for Enhanced Protein Detection in Urine | Journal of Proteome Research pubs.acs.org/doi/10.1021/acs…
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Meinusha retweeted
2 Apr 2024
Checkout our new paper, describing a simple method to analyze low amounts of flow sorted cells by @mrwaas and team
Droplet-based proteomics reveals CD36 as a marker for progenitors in mammary basal epithelium: Cell Reports Methods cell.com/cell-reports-method…
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Meinusha retweeted
7 Mar 2024
Checkout our new article published in Acta Neuropathologica Communications by former PDF Shahbaz Khan in collaboration with @gelarehzadeh
doi.org/10.1186/s40478-024-0…
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Meinusha retweeted
20 Sep 2023
And @mrwaas has his poster on rare cell populations (poster 5.159). Come and check it out
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Meinusha retweeted
20 Sep 2023
Come and visit @meinusha at her amazing poster on glycoproteomics in PDX models (poster 5.53)
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Meinusha retweeted
12 Sep 2023
Latest preprint from the lab. A simple method for the proteomics analysis of rare cell populations. Developed by post-doc @mrwaas
biorxiv.org/content/10.1101/…
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Introducing DROPPS!
Here's our preprint that describes an accesible approach to low input proteomics and how we applied it to generate some interesting biological insights (1/x)
biorxiv.org/content/10.1101/…
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