We present SPIED-DIA – a spike-in enhanced phosphoproteomics method combining DIA with targeted sensitivity to uncover synergistic signaling in colorectal cancer cells.
👉 [https://t.co/R4nL8acLu8](https://t.co/R4nL8acLu8)
What happens to all those alternative transcripts?
👉 Many are translated
👉 Proteolytic processing adds even more diversity
Integrated mRNA & protein isoform landscape now out on bioRxiv!
https://t.co/AazRU6WXgl
#proteomics#transcriptomics#systemsbiology
Excited to share our new paper in MCP! 🎉 DIA with Spike-In SILAC (DIA-SiS) boosts proteome coverage and quantification.
Check it out: https://t.co/cKBh5FjlgE
#Proteomics#MassSpec#Research
Want to do absolute quantitative plasma proteomics, with an internal standard that costs you less than 1€ per sample? Have a look at our OSPP https://t.co/OuoBLuHLka
Combining data independent acquisition with spike-in SILAC (DIA-SiS) improves proteome coverage and quantification. Read our new preprint on bioRxiv.
#SILAC#DIA#Proteomics
https://t.co/DCNP2uE1Mr
Read our latest work on how phosphorylation in Intrinsically Disordered Regions (IDRs) affects protein-protein interactions in Nature Communications.
@TRrustemi
https://t.co/qyZ54OJ5Bd
#IDR#phosphorylation
Our latest preprint investigates the pathogenic mutations of human phosphorylation sites that affect protein-protein interactions. Using peptide-based interaction proteomics, more insights regarding the transcription factor GATAD1 were unveiled. @TRrustemi https://t.co/PzOOiwXs2R
Looking for a method to identify drug targets? Our new paper on drug target identification by quantitative proteomics is now online: https://t.co/OIMhcO3Dvg
How can you predict kinase activity in phosphoproteomic data? This database allows you to do this, even for poorly annotated kinases. Read more in this new paper: https://t.co/93O0Wnlcyu”