IMSIS-Americas

Hey 👋 all! It’s been awhile!

Anyway, our team has a new PD opening: Carbohydrate and Glycan Imaging Scientist in Richland, Washington. Review all of the job details and apply today! careers.pnnl.gov/jobs/10838?lan… @imsis-americas.bsky.social @asms.org

🧬 IMSIS 3 abstract deadline extended to July 14!
We’ve also announced our keynote speakers — check the full lineup at imsis3.msimaging.science
📍 Davis, CA | Sept 29–Oct 2
#IMSIS2025 #MSI #MassSpec #SpatialOmics

#ASMS2025 might be on your mind right now, but Abstracts + registration now open for IMSIS 3!
🗓️ Sept 29–Oct 2, 2025 – Davis, CA
Submit by June 30!
🎓 Students: email us before registering if you want to volunteer—space is limited. Receive a discount!
🔗 imsis3.msimaging.science

#IMSIS2025

At ASMS? Stop by the Imagers Happy Hour before the Opening Plenary!
📍 Pickles Pub, Baltimore
🕓 Sun June 1 | 4–6:30pm
🎯 Right after the Users Meeting
Hosted by IMSIS-Americas
#ASMS2025 #MSI #IMSIS

IMSIS 3 is happening Sept 29–Oct 2, 2025 at UC Davis!
Join us From Micro to Macro and Beyond 🧬
Registration now open: imsis3.msimaging.science/en/registration-form
Talks, posters, wine, and cows.
#IMSIS2025 #MSI #MassSpec #ASMS2025

Spread the word! #IMSIS2025 #MassSpectrometryImaging #IMSIS3 #UCDavis #SpatialOmics #TeamMassSpec #MSI #IMS

🚨 Registration is open for IMSIS 3 at UC Davis (Sept 29–Oct 3)! Join us to explore MS imaging from Micro to Macro and Beyond!
🔗 Info: imsis3.msimaging.science
📝 Register: imsis3.msimaging.science/en/registration-form
🌍 Travel help & visa: /en/travel-details
#IMSIS2025

Imaging and spatially resolved mass spectrometry applications in nephrology - Nature Reviews Nephrology In this Review, the authors discuss mass spectrometry (MS) imaging and spatially resolved MS approaches that are being employed in nephrology applications. They also highlight emerging MS methods and ...

Super happy to share our new review in Nature Reviews Nephrology: www.nature.com/articles/s41... @kpmproject.bsky.social @beesgees.bsky.social @imsis-americas.bsky.social

Spatial top-down proteomics for the functional characterization of human kidney - Clinical Proteomics Background The Human Proteome Project has credibly detected nearly 93% of the roughly 20,000 proteins which are predicted by the human genome. However, the proteome is enigmatic, where alterations in ...

Happy to share this one, outlining our workflow developed through HuBMAP to look into proteoforms in human kidney. We found logical insight into FTU level proteoform differences in healthy samples. Moving forward, diseased tissues hold a lot of secrets!

doi.org/10.1186/s120...

🇨🇦 As part of our premier TMIC collective on metabolomics, please consider joining the Canadian Metabolomics Conference aka CanMetCon! Abstract deadline 15 MAR 2025 with the event being held 24-25 April in New Residence Hall, McGill University, Montreal, Quebec 🇨🇦

Sign up for this FREE Virtual Workshop!

✨ Fernando “Ralph” Tobias @ftobias.bsky.social – Secretary

✨ Boone Prentice @prenticelabuf.bsky.social – Counselor

✨ Jillian Johnson – Counselor

#IMSIS #MassSpecImaging #MSI #SpatialOmics #MassSpectrometry #ScienceLeadership #AnalyticalChemistry #TeamMassSpec

🚀 Exciting News! Meet the New IMSIS-Americas Executive Committee 🌎🔬
We are thrilled to welcome our newly elected leadership team!

Abstract deadline for #ASMS2025 is February 7. Submit your abstract to present your work in Baltimore. This is a final deadline, please plan accordingly.

Abstract submission instructions & criteria: www.asms.org/conferences/...

Introducing the new Editor-in-Chief of @J_ASMS, Jenny Brodbelt!

A longtime member and Past President of ASMS, and Associate Editor of JASMS since 2006, she will begin her term as JASMS Editor-in-Chief on Feb. 1.

www.asms.org/publications...

Untargeted Spatial Metabolomics and Spatial Proteomics on the Same Tissue Section An increasing number of spatial multiomic workflows have recently been developed. Some of these approaches have leveraged initial mass spectrometry imaging (MSI)-based spatial metabolomics to inform the region of interest (ROI) selection for downstream spatial proteomics. However, these workflows have been limited by varied substrate requirements between modalities or have required analyzing serial sections (i.e., one section per modality). To mitigate these issues, we present a new multiomic workflow that uses desorption electrospray ionization (DESI)-MSI to identify representative spatial metabolite patterns on-tissue prior to spatial proteomic analyses on the same tissue section. This workflow is demonstrated here with a model mammalian tissue (coronal rat brain section) mounted on a poly(ethylene naphthalate)-membrane slide. Initial DESI-MSI resulted in 160 annotations (SwissLipids) within the METASPACE platform (≤20% false discovery rate). A segmentation map from the annotated ion images informed the downstream ROI selection for spatial proteomics characterization from the same sample. The unspecific substrate requirements and minimal sample disruption inherent to DESI-MSI allowed for an optimized, downstream spatial proteomics assay, resulting in 3888 ± 240 to 4717 ± 48 proteins being confidently directed per ROI (200 μm × 200 μm). Finally, we demonstrate the integration of multiomic information, where we found ceramide localization to be correlated with SMPD3 abundance (ceramide synthesis protein), and we also utilized protein abundance to resolve metabolite isomeric ambiguity. Overall, the integration of DESI-MSI into the multiomic workflow allows for complementary spatial- and molecular-level information to be achieved from optimized implementations of each MS assay inherent to the workflow itself.

Single tissue untargeted multiomics? Yes, please! Our new paper is now online. @pnnl.bsky.social @bindesh1.bsky.social @imsis-americas.bsky.social
pubs.acs.org/doi/10.1021/...