Georges BEDRAN (@georgesbedran3) 's Twitter Profile
Georges BEDRAN

@georgesbedran3

ImmunoOncology

ID: 1143772101372981248

calendar_today26-06-2019 06:44:54

53 Tweet

61 Followers

165 Following

Molecular & Cellular Proteomics (@molcellprot) 's Twitter Profile Photo

"The Peptide Vaccine of the Future" Nelde et al. of UniversitƤt Tübingen discuss current approaches in the development of peptide-based vaccines and critical implications for optimal #vaccine design ― Annika Nel Peptide-based Immunotherapy #Immunopeptidomics #Immunology #TeamMassSpec mcponline.org/article/S1535-…

"The Peptide Vaccine of the Future"

Nelde et al. of <a href="/uni_tue/">UniversitƤt Tübingen</a> discuss current approaches in the development of peptide-based vaccines and critical implications for optimal #vaccine design ― <a href="/AnnikaNel/">Annika Nel</a> <a href="/LabWalz/">Peptide-based Immunotherapy</a> #Immunopeptidomics #Immunology #TeamMassSpec 

mcponline.org/article/S1535-…
Josh Elias (@eliaslab1) 's Twitter Profile Photo

Antigen presentation by MHC-2 is not simply a matter of binding affinity. In this collaborative work with Betsy Mellins, we show that large portions of MHC-2 repertoires are sensitive to the variable activity of the antigen loading Dm chaperone and it’s antagonist, Do

Rebecca Poulos (@rebecca_poulos) 's Twitter Profile Photo

Thrilled to share our Pan-Cancer Proteomic Map of 949 Human Cancer Cell Lines, now on bioRxiv. A huge collaboration between CMRI #ProCan and Garnett Lab Wellcome Sanger Institute Cancer Dependency Map Sanger. Thanks to @emanuelvgo, Simon Cai and the whole team. biorxiv.org/content/10.110…

Dominika Bedran Neuroscientist (@im_into_science) 's Twitter Profile Photo

Any Occupational Therapists with experience in working with dementia patients? I'm searching for OT's to join our discussion panel on the Early Prevention of Neurodegenerative Diseases during online Applied Neurosciences Association conference on 23rs of March. #dementia

Michal Bassani-Sternberg (@michal_bassani) 's Twitter Profile Photo

I’m delighted to share our Nature Cancer paper by Anne Kraemer et al. nature.com/articles/s4301… Our objective was to investigate whether there are substantial differences in the antigenic landscape presented in tumors that are T cell inflamed versus those that are non-inflamed.

Jamie Heather (@jamimmunology) 's Twitter Profile Photo

This TCR:pMHC discovery platform is pretty cool (TCR activation -> scFv release which labels the relevant APC) biorxiv.org/content/10.110… What I really love though is them finding/making better TCR signaling reporter promoters than vanilla NFAT, definitely going to try them out

Nature Communications (@naturecomms) 's Twitter Profile Photo

Georges BEDRAN, Dan Polasky from Alexey Nesvizhskii and colleagues present a computational workflow for identifying glycosylated peptides from mass spectrometry-based immunopeptidome data and investigate the properties of glycosylated MHC associated peptides nature.com/articles/s4146…

<a href="/GeorgesBEDRAN3/">Georges BEDRAN</a>, <a href="/DanPolasky/">Dan Polasky</a> from 
<a href="/nesvilab/">Alexey Nesvizhskii</a> and colleagues present a computational workflow for identifying glycosylated peptides from mass spectrometry-based immunopeptidome data and investigate the properties of glycosylated MHC associated peptides

nature.com/articles/s4146…
Alexey Nesvizhskii (@nesvilab) 's Twitter Profile Photo

PTM-containing peptides often fragment in unexpected ways, hindering their identification. Here we describe a workflow in #FragPipe to find diagnostic spectral features for any PTM, illustrated using chemoproteomics, RNA-xlinks, glyco and ADP-ribo examples nature.com/articles/s4146…

Alexey Nesvizhskii (@nesvilab) 's Twitter Profile Photo

Led by Fengchao Yu we present MSFragger-DIA for direct peptide identification from DIA data. It leverages the speed of fragment ion indexing and searches DIA MS/MS spectra prior to feature detection and peak tracing. Complete DIA analysis workflow in #FragPipe nature.com/articles/s4146…

Alexey Nesvizhskii (@nesvilab) 's Twitter Profile Photo

MSBooster manuscript led by Kevin Yang is out! In tandem with Percolator, it improves identification rates in #FragPipe using deep learning-based predictions (from DIA-NN). We illustrate it using HLA peptidomics, direct DIA, single-cell, and timsTOF data. nature.com/articles/s4146…