As experimental designs get more complex - more compounds, more timepoints, more conditions - the friction often isn't in the analysis itself. It's in navigating the results.

This month's updates focus on reducing that friction with one goal: making your data more dynamic to explore and more connected across your workspace.

Everything here builds on the personalized support you already get in your Member Success sessions. Feel free to raise any of these updates in your next session if you want help making the most of them.

And don't forget, our API 2.0 is now available. If you want to know how it can benefit you and your team with programmatic access to your data and automated workflows, book a time here.

Here's what's new.

1. More control over dose-response and volcano plot visualisations

When working with dose-response or volcano plots, visual clutter can make it harder to focus on the proteins and comparisons that matter. Two new features give you more control over what's displayed and how it's organized.

• Group dose-response curves by protein. Previously, each protein required its own separate module. You can now group multiple proteins into a single module alongside any sample metadata variable - compound, timepoint, or other conditions - for direct visual comparison.

• Customisable curve ordering. Drag and drop to reorder proteins or metadata groupings within a module, or sort by ascending or descending order to match your analysis needs.

• Show or hide entities on pairwise and dose-response plots. Select a list of entities and choose to show only that list, hide it, or display everything. Works on both dose-response and pairwise volcano plots.

This means less time managing separate modules and more time focused on the patterns that matter.

👉 Try the updated dose-response and volcano plot controls in your workspace

2. Find and manage your data faster

As the number of workspaces and datasets grows, finding the right one shouldn't require opening each workspace individually. Two updates make it easier to locate and organise your data.

• Search workspaces by sample metadata. The top-bar search now queries sample metadata across all workspaces. Results show which workspaces matched (including those where the data is referenced in a module), and what keyword was found in each, so you can go directly to the right project.

• New datasets page. A dedicated datasets view - accessible from the sidebar - brings all datasets into one place. Uploads, intensity datasets, and derived analyses (pairwise, dose-response) are displayed in a tree structure so you can see exactly how each dataset connects back to its source.

• Search, filter, sort, and delete in one table. Find datasets by name, type, creator, or ID. Add filters, check processing status, and manage datasets without navigating into individual workspaces.

Less time navigating, more time analyzing.

👉 Search your workspaces or explore the new datasets view

3. Throwback to an under-rated feature: UpSet plots for cleaner set comparisons

If you've been reaching for Venn diagrams to compare overlap across conditions, there's already a better option in your workspace. UpSet plots show every intersection clearly - without overlapping circles becoming unreadable at three or more conditions.

They work with both protein and peptide lists, so you can create dedicated views for each. Especially useful when comparing sample prep methods, treatment groups, or filtering criteria.

• Help article: How to use UpSet plots in Mass Dynamics
• 2-min video walkthrough: Teach me in 2 - UpSet Plots