I don't remember seeing an image of Earth before that captures the (thin, fragile, tiny layer of) atmosphere so clearly. I mean, look at that.

DNA O-MAP uncovers the molecular neighborhoods associated with specific genomic loci DNA O-MAP enables proximity labeling at specific genomic loci in fixed cells using programmable oligonucleotides, revealing locus-proximal proteomes and chromatin interactions without genetic modifica...

The next iteration of O-MAP targeting genomic loci is now at eLife!!

DNA O-MAP enables proximity labeling at specific DNA loci took a ton of work from many lab members and collaborators, so it's really exciting to wrap up this paper with @oligopain.bsky.social!

elifesciences.org/articles/102...

N. G. BOECK HELLO! (Are you looking for M. Nicole Nazzaro? You found me! My professional byline changed in April 2025, but everything else is staying the same: email, phone, website URL, etc. Welcome!) WHAT I...

Check out her other work here: www.impactmedianw.com

(Disclaimer: I was not involved with this article, but Nicole and I have had a lot of great conversations since she took my Quantitative Analysis course, so I am a bit biased!)

Her background as a bona fide journalist w/ career pivot back into science and research makes her writing on science/the scientific enterprise particularly interesting.

This topic about managing failure and fostering perseverance is evergreen in science. Thanks for adding to this dialogue, Nicole!

It is very cool to see this piece from a former student of mine, @mnicolen.bsky.social, in Nature's Career Feature section:

www.nature.com/articles/d41...

2026 I. M. Kolthoff Award Winners The I.M. Kolthoff Award is given annually to deserving undergraduates who have done undergraduate research in the field of analytical chemistry, broadly defined, in celebration of the life and accompl...

A big congratulations to the 2026 I. M. Kolthoff Award Winners! acsanalytical.org/2026/03/12/2...

This @acs.org award for undergraduate researchers supported 4 outstanding students (Damon Chan, Alex Szczepankiewicz, Katelyn Barnes, & Zane Alsebai) attending @pittcon.bsky.social and #ACSspring 2026

Meet an Analytical Chemist Suggestion Form American Chemical Society Division of Analytical Chemistry Education Committee is sponsoring a new initiative called "Meet an Analytical Chemist" where we highlight a scientist from our community once...

We plan to highlight a new analytical chemist each quarter in the Division Newsletter. If you are interested in nominating someone to be highlighted, please enter their information here:
docs.google.com/forms/d/e/1F...

Meet an Analytical Chemist – February 2026 Christina Jones, Ph.D.National Institute of Standards and Technology, Office of Advanced Manufacturing, Partnerships and Outreach Strategist How did you get started in the field of Analytical Chemistr...

Check out the newest entry in the ACS Div. of Analytical Chem. Education Committee's "Meet an Analytical Chemist" initiative.

This quarter we highlight Dr. Christina Jones, Partnerships and Outreach Strategist at NIST: acsanalytical.org/2026/02/26/m...

2026 I. M. Kolthoff Award Winners The I.M. Kolthoff Award is given annually to deserving undergraduates who have done undergraduate research in the field of analytical chemistry, broadly defined, in celebration of the life and accompl...

A big congratulations to the 2026 I. M. Kolthoff Award Winners! acsanalytical.org/2026/03/12/2...

This @acs.org award for undergraduate researchers supported 4 outstanding students (Damon Chan, Alex Szczepankiewicz, Katelyn Barnes, & Zane Alsebai) attending @pittcon.bsky.social and #ACSspring 2026

Fantastic new resource for glycoproteomics from @nmriley.bsky.social and coworkers #glycotime

As always, we appreciate authors like Rebeca and Morten (and many in our field) who make raw data publicly available.

Data sharing streamlines #glycotime tool building and helps us advance together as a field.

Mucin-binding protein shuttles enable delivery of brain-targeted therapeutics www.biorxiv.org/content/10.64898/2026.03...

GitHub - riley-research/GlycoDiveR Contribute to riley-research/GlycoDiveR development by creating an account on GitHub.

In all, GlycoDiveR is meant to improve accessibility of glycoproteomic-specific analyses and lower the barrier to exploring biological narratives embedded in rich glycoproteomic datasets.

We hope it can be useful for your #glycotime work. Try it out here: github.com/riley-resear...

These figures are a sampling of GlycoDiveR's >25 customizable functions & publication-quality visualizations, each accessible with a single line of code.

Its modular architecture can accommodate new analyses from us and others, and we plan to update it with new visualizations regularly.

Once glycoproteins of interest are pinpointed via glycoproteome-scale analyses, GlycoDiveR also generates glycosite-level analyses for indiv proteins. This includes site maps w/ heterogeneity differences b/t conditions, a quant heat map for all glycosites, and glycan comparisons for indiv glycosites

Importing data w/ GlycoDiveR automatically connects to the @glycosmos.bsky.social API to provide GlyTouCan accession numbers for glycopeptides, and it connects to the #uniprot API to pull in associated protein annotations to assess, for example, which BP, CC, or MF are associated with glycopeptides.

Glycoprotein-Glycan (GPG) bipartite networks have been adopted by several groups as way to "fingerprint" the glycoproteome when viewing an entire dataset.

They can also be filtered to show how specific glycan features are distributed across the glycoproteome or differ between conditions.

Classic visualizations for differential expression, like volcano plots, are available, and subsets of glycopeptides can be further processed to look for trends, such as glycan categories more represented in up- or down-regulated species.

Glycoprotein rank plots can also show abundance shifts.

GlycoDiveR generates Venn digrams and UpSet plots to compare overlap in glycopeptides, glycoproteins, glycosites, and glycans between two groups or large sets of groups.

Glycan vs. Glycosite scatter plots can identify potentially interesting glycoproteins with high or low glycan microheterogeneity.

For glycoproteome-scale analyses, visualizing data completeness and filtering for desired numbers of quantitated species per condition are functions our group uses often.

Look at where in the LC-MS/MS gradient glycopeptides eluted can help with data assessment and experiment iterations, too.

GlycoDiveR makes data normalization easy to perform and assess, including loadings plots for PCA. A single line of code generates other data quality assessments (w filtering capabilities), too, including identification bar graphs, peptide length distributions, m/z error trends, and CV distributions.

HEXB Drives Raised Paucimannosylation in Colorectal Cancer and Stratifies Patient Risk In BriefAiming to find glyco-markers against colorectal cancer (CRC), we applied systems glycobiology to CRC patient specimens. Multiomics data revealed that noncanonical paucimannosidic proteins form...

GlycoDiveR is an open-source, modular R framework with >25 customizable glycoproteome- and glycosite-scale visualizations that can be generated with minimal programming expertise.

We reanalyzed data from Kawahara et al. to demonstrate GlycoDiveR's features: www.mcponline.org/article/S153...

The complexity of glycoproteomics data creates a bottleneck in data interpretation and communication.

We (@timveth.bsky.social, @riley-research.bsky.social) built GlycoDiveR as a step toward bridging gaps between search-engine output and biological interpretation through #glycotime visualizations.

GlycoDiveR: a modular R framework to analyze and visualize highly dimensional glycoproteomics data www.biorxiv.org/cont...
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#proteomics #prot-preprint

Exciting new discovery from @jimwellsucsf.bsky.social and coworkers, a new class of potential cancer antigens flipped onto the cell surface via autophagy-associated exocytosis, featuring first author and former PhD student Corleone Delaveris! #proudofalumni

We are generally limited by long accumulation times, so we try to keep it to as few scans per precursor as possible. But sometimes multiple scans can be the only answer, depending on what you need!

Wee thread 🧵⬇️ on our new #glycotime with @siglecdude.bsky.social John Klassen and @glycocode.bsky.social 🥳 where we show Siglecs as molecular precision tools, able to recognise sialylated glycans with surgical precision in their natural environment, not bad for a lectin! 😎

doi.org/10.1038/s420...

Understanding m/z Range Settings for MS/MS Scans: A Case Study with Intact Glycopeptides Effective glycopeptide identification with tandem mass spectrometry (MS/MS) often relies on both low mass-to-charge (m/z) ions derived from glycan-specific oxonium ions and higher m/z peptide fragment...

This was a relatively straightforward set of experiments we approached from a tutorial-like perspective.

Hopefully it can be useful for folks interested in #glycotime that have not thought much about MS/MS scan ranges before.

Check out the publication here:
pubs.acs.org/doi/10.1021/...

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