• by /u/No-Cartoonist1757
    submitted by /u/No-Cartoonist1757 [link] [comments]
  • by /u/Groundbreaking-Pen85
    submitted by /u/Groundbreaking-Pen85 [link] [comments]
  • by /u/Crazy-Tax-1320
    Hello, for low-abundance proteins in IP samples, which do you think is better overall: DDA or DIA? submitted by /u/Crazy-Tax-1320 [link] [comments]
  • by /u/Groundbreaking-Pen85
    submitted by /u/Groundbreaking-Pen85 [link] [comments]
  • by /u/Crazy-Tax-1320
    I started with approximately 1 mg of peptides prior to diGly enrichment and used a TMT-after elution workflow. For the sample that gave 98% labeling efficiency, the enriched peptides were labeled directly after elution. (IP) For the sample that gave 84% labeling efficiency, the peptides went through Zip cleaning and loaded on the machine to check for Di Gly sites before TMT tagging What could be the reason for low efficiency and i noticed lower TMT efficiency for flow through IPs sample that were also TMT tagged Has anyone encountered something similar when performing TMT labeling on diGly-enriched peptides? Also […]
  • by /u/Pleasant-Wonder-1665
    submitted by /u/Pleasant-Wonder-1665 [link] [comments]
  • by /u/Proteo-Freak973
    Hola Redditians !! Context is; I'm currently doing my 3.5 years PhD in proteomics in a CRO in NZ mostly with the plant-based system, but my whole bachelors and masters background is in pharmacy, and I also have some idea of mammalian proteomics, drug discovery pathways and so on. Problem is; I'm worried about the job market in USA, People advising me PostDoc is necessary you'll not get a job, But I'm tired of academics and I want stability in an industry Question is; What will you suggest me as an action from the first year, so I'll directly land […]
  • by /u/EvosepBio
    Hi everyone, We’d like to share an upcoming webinar that may be of interest to the community in here! On June 18, 2026 (16:00 CEST / 10:00 EDT / 07:00 PST), we are hosting a session on “Assay Development for Translational and Research Applications.” Speaker: Giles Drinkwater (Researcher, OXcan Analytics) — “Robust Data from Evosep Eno Coupled to Exploris 480 for the Development of Diagnostic Assays.” Machine learning-derived diagnostic models have enormous potential, but their success depends on the quality and robustness of the underlying data. Giles will discuss OXcan Analytics’ workflow for generating reliable proteomics data from digested plasma […]
  • by /u/Disastrous-Offer220
    hey! our lab currently uses the preomics it-nhs kits for our proteomics process. they are currently back ordered and going to take 4-6 weeks to come in. our team is looking at the thermoscientific easypep MS sample prep kits. does anyone know if they are comparable? thank you!! submitted by /u/Disastrous-Offer220 [link] [comments]
  • by /u/BizMaker_2504
    I’m building Chromalyst (chromalyst.io/dashboard)— an evidence-based peak intelligence layer for chromatographic workflows. It uses machine learning and physics-informed validation to detect, tier, and explain chromatographic peaks, helping scientists separate high-confidence peaks from noise, artifacts, and ambiguous candidates. Chromalyst is currently in alpha / early validation, with an initial focus on LC-MS/DIA data. Your feedback, especially from folks working with real chromatographic workflows, around peak quality, and usability, will help us improve the product. submitted by /u/BizMaker_2504 [link] [comments]
  • by /u/Mean_Dragonfly_3068
    submitted by /u/Mean_Dragonfly_3068 [link] [comments]
  • by /u/Weak-Indication-7166
    Hey peeps! So I have basically developed and published a small QC tool for the LFQ (DDA) Data. It's available as both GUI (for Windows) and CLI (for Linux). I would appreciate if you checkout and lemme know about it. Plus it generates both sample wise and combined samples MultiQC type reports. This tool is to simply know your data before you run the downstream analysis. https://github.com/thy-sanjay/QCPROT Do checkout and lemme know, thanks in advance 😉 submitted by /u/Weak-Indication-7166 [link] [comments]

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