Thomas Kislinger
@KislingerThomas
Followers
1K
Following
20K
Media
133
Statuses
775
Clinical Proteomics, Cancer Biology & Mass Spectrometry @MBPatUofT and @pmcancercentre 🇨🇦
Toronto, Ontario
Joined March 2019
checkout our latest paper in @NatureBiotech. We developed a graph-based algorithm that comprehensively generates non-canonical peptides in linear time.
nature.com
Nature Biotechnology - moPepGen enables the detection of peptides across species, proteases and technologies.
2
12
55
@dgsomucla @UCLAHealth @UCLAHealthJCCC @uoftmedicine @PMResearch_UHN @VectorInst @TheBoutrosLab @KislingerThomas @Chenghao_Zhu Behind the Paper: From mutation to peptide: resolving proteome complexity with moPepGen https://t.co/ms3pegio9N
0
3
11
And in case you missed it here is her other preprint. https://t.co/Hy7JxPwUGZ
biorxiv.org
Cell surface proteins offer significant cancer therapeutic potential attributable to their accessible membrane localization and central role in cellular signaling. Despite this, their promise remains...
0
0
4
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
Background The significant lethality of high-grade serous ovarian cancer (HGSC) is driven by the lack of long-term efficacy of current treatments, underscoring the need for developing additional...
1
1
10
Interestingly, the urinary proteome of Black patients harboured more features of aggressive cancers than those of grade- and PSA-matched White patients. These observations highlight the importance of controlling for ancestry-associated differences in biomarker development.
0
0
2
This cohort was stratified by ancestry – thought to be a risk-factor for aggressive disease. We found surprisingly large differences and dysregulation of immune pathways.
1
0
2
After nearly 15 years of urine proteomics of prostate cancer patients, this is our most comprehensive work to date. We generated spectral libraries from hundreds of samples to rapidly analyze 329 post-DRE urines.
1
0
1
Proud to share our new @Nature study: We developed the 1st NNMT inhibitor that reprograms cancer-associated fibroblasts, boosting immune response & stopping tumor growth in ovarian cancer models, especially when paired with immunotherapy. @OvCa_UChicago
https://t.co/G2QtUZWPPN
15
64
240
Read our latest #preprint on @researchsquare: Systematic evaluation of analytical methods for CSF proteomics
researchsquare.com
Cerebrospinal fluid (CSF) provides a unique window into brain pathology, yet challenges in unbiased mass-spectrometric (MS) discovery persist due to sample complexity and the need for optimized...
1
2
18
Phenotypic screens for SIRPA expression reveal RAB21 as a general regulator of macrophage surface identity: Cell Reports
cell.com
Through CRISPR screening, Granda Farias et al. find results consistent with cis CD47-SIRPA interactions relying on QPCTL and that RAB21/Rab21 inactivation reduces macrophage model surface SIRPA/Sirpa...
0
0
3
Phenotypic screens for SIRPA expression reveal RAB21 as a general regulator of macrophage surface identity
cell.com
Through CRISPR screening, Granda Farias et al. find results consistent with cis CD47-SIRPA interactions relying on QPCTL and that RAB21/Rab21 inactivation reduces macrophage model surface SIRPA/Sirpa...
1
5
41
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 Computational Tool to Unlock Protein Variants in the Genome - fully visualized data of colleges rankings, basic information, admission, graduation, tuition, majors, students, campus...
0
1
3
@dgsomucla @UCLAHealth @UCLAHealthJCCC @uoftmedicine @PMResearch_UHN @VectorInst @TheBoutrosLab @KislingerThomas @Chenghao_Zhu Proteogenomics algorithm improves the detection of hidden genetic mutations #NBTIntheNews via @GENbio
genengnews.com
moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.
1
4
18
Identification of non-canonical peptides with moPepGen
pubmed.ncbi.nlm.nih.gov
Proteogenomics is limited by the challenge of modeling the complexities of gene expression. We create moPepGen, a graph-based algorithm that comprehensively generates non-canonical peptides in linear...
0
0
5
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. https://t.co/LLm8UnOWKe
0
5
7
A new tool, moPepGen, developed by @uhn @pmcancercentre & @UCLAHealth, 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. @NatureBiotech: https://t.co/gH6dLiyQto
nature.com
Nature Biotechnology - moPepGen enables the detection of peptides across species, proteases and technologies.
checkout our latest paper in @NatureBiotech. We developed a graph-based algorithm that comprehensively generates non-canonical peptides in linear time.
0
1
4
Great collaborations with our colleagues @UCLA @TheBoutrosLab and led by outstanding trainees @Chenghao_Zhu @AnnieHahkl and Lydia Liu
0
0
2