Weather’s going wild, and now your mass spec data’s a mess too?
Coindidence? Nope!
We reveal how weather-driven air pressure fluctuations impact diaPASEF-based high troughput proteomics - and how to fix it!
Check out our new paper! #diaPASEF #Weatheromics
pubs.acs.org/doi/10.1021/...
why ng?
why ng?
EMBO Practical Course “Targeted proteomics: advanced tools for biomedical research” Barcelona, 8–13 Nov 2026
Line-up not announced yet, but previous editions organized by @maccoss.bsky.social with invited speakers incl. Alexey Nesvizhskii and Vadim Demichev.
EMBO Practical Course “Targeted proteomics: advanced tools for biomedical research” Barcelona, 8–13 Nov 2026
Line-up not announced yet, but previous editions organized by @maccoss.bsky.social with invited speakers incl. Alexey Nesvizhskii and Vadim Demichev.
In Wiśniewski et al., MCP 2014, the histone→DNA proxy seems implicit.
Is there any explicit reference stating that the Ruler uses only core histones (H2A/H2B/H3/H4) and excludes H1?
#proteomics #massspec
In Wiśniewski et al., MCP 2014, the histone→DNA proxy seems implicit.
Is there any explicit reference stating that the Ruler uses only core histones (H2A/H2B/H3/H4) and excludes H1?
#proteomics #massspec
But that still doesn’t explain the complete lack of correlation with UPS2.
From my experience, iBAQ and MaxLFQ usually correlate well (R² ~0.78, non related example dataset shown), suggesting they track the same MS1 signal.
But that still doesn’t explain the complete lack of correlation with UPS2.
From my experience, iBAQ and MaxLFQ usually correlate well (R² ~0.78, non related example dataset shown), suggesting they track the same MS1 signal.
"trademark DXT for our DIA multiplex tags...advances have been made in DXT multiplexing since ASMS with the number of tags increased from 6 to 11 and with the potential to
increase these to beyond 30"
"trademark DXT for our DIA multiplex tags...advances have been made in DXT multiplexing since ASMS with the number of tags increased from 6 to 11 and with the potential to
increase these to beyond 30"
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Anyone know what’s going on here? 🤔
#proteomics #bioinformatics @pwilmarth.bsky.social il
Anyone know what’s going on here? 🤔
#proteomics #bioinformatics @pwilmarth.bsky.social il
Many non-human proteomics studies still search against taxon-filtered FASTAs.
❌ Redundant sequences
❌ Inflated search space
✅ Reference proteomes cut redundancy, improve annotation, and make results comparable.
👉 Time to move beyond taxon filters. #proteomics #massspec #uniprot
Many non-human proteomics studies still search against taxon-filtered FASTAs.
❌ Redundant sequences
❌ Inflated search space
✅ Reference proteomes cut redundancy, improve annotation, and make results comparable.
👉 Time to move beyond taxon filters. #proteomics #massspec #uniprot
This could also work for the Orbitrap Astral.
Bonus: DIAPASEF on Thermo - patentscope.wipo.int/search/en/de...
This could also work for the Orbitrap Astral.
Bonus: DIAPASEF on Thermo - patentscope.wipo.int/search/en/de...
When you run proteomics on non-human species (mouse, rat, macaque, etc.) — which protein FASTA do you prefer?
Taxonomy-filtered UniProt (all entries)
Reference proteome (SwissProt+TrEMBL)
Ensembl/GENCODE
Something else?
When you run proteomics on non-human species (mouse, rat, macaque, etc.) — which protein FASTA do you prefer?
Taxonomy-filtered UniProt (all entries)
Reference proteome (SwissProt+TrEMBL)
Ensembl/GENCODE
Something else?