Ferroptosis induces heterogeneous death profiles that are controlled by lysosome rupture Das et al. show that the death mechanism ferroptosis is regulated in cell populations by the parallel induction of necrotic and apoptotic modes of execution. Death propagation, a unique feature of nec...

Is ferroptosis a form of cell death?
Or is it a process that ends up in apoptosis or in lysosomal cell death?
It depends on who you ask. But we better agree on definitions, because there are clinical implications

I would love your opinion @angelifriedmann.bsky.social

www.cell.com/developmenta...

New work from Francesca Peri Lab @uzh-ch.bsky.social 🐟 #zebrafish

🤔Do you think that OXPHOS in DCs = tolerance?
In our new @cp-cellmetabolism.bsky.social #cnic_cardio & @irbbarcelona.org, we show that active #mitochondrial ETC primes cDC1s for immunogenicity, not tolerance.
Life (& #immunometabolism) is not simple ⚡️
OPEN: www.cell.com/cell-metabol...
#immunoSky

What does it take to truly understand #cancer in all of its complexity?

Delighted to share our Review in Cell "Cancer ecosystems: A dynamic interplay across scales" with Daniela Quail, where we propose a multi-scale framework connecting tumor ecology with physiology 🧪⚕️

www.cell.com/cell/fulltex...

Original image from 2011 of what I just had seen under the microscope when I ran into @oliverrocks.bsky.social’s office to show him. Turned out he’d observed this too, had no idea what it was either, but was just as stunned and curious as I was.

This is how it all started...

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I am so excited to share our new findings with you! We provide the structural evidence for a direct protein-to-DNA information pathway, showing how a bacterial enzyme 'reads' its own structure to 'write' DNA. www.science.org/doi/10.1126/...

We are so excited to see our work out in @nature.com! We present a multi-omic single-cell atlas of 12 organs in human fetal development, explore the enhancer landscape, use deep learning to infer rules of transcription factor activity, and interpret non-coding variants in complex traits: #GeneReg 🧬🖥️

Dried blood spot sample extraction for metabolomics and proteomics profiling for clinical trials: a descriptive exploratory study www.nature.com/artic...

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#proteomics #prot-paper

SARS-CoV-2 infection during the first trimester leads to profound immune dysregulation at the maternal-fetal interface despite limited virus detection in placental tissues

Large study, clarifying SARS-CoV-2 is rarely penetrating the placenta.

www.nature.com/artic...
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Where has this molecule been detected before across samples, organisms, body parts, and environments?
With StructureMASST, you can explore this directly by entering a molecule name and running a search in your browser.
🔗 structure-masst.gnps2.org
📄 www.nature.com/articles/s41...

Structure-centric searching enables global mapping of the public metabolome Over the past decade, metabolomics data have been deposited into public repositories (MetaboLights, NMDR/Metabolomics Workbench, GNPS/MassIVE and NORMAN/DSFP), but these resources remain underutilized for identifying broad molecular trends1,2,3,4. The ability to search/filter mass spectrometry (MS) raw metabolomics data at repository scales requires computational solutions that can scale. Initially, in 2020, Mass Spectrometry Search Tool (MASST) queries required 20–40 min to search a repository of ~110 million tandem MS (MS/MS) spectra, but the introduction of indexing technologies reduced search time to seconds—even across over a billion mass spectra5,6,7 (Fig. 1a). The development of PanReDU enabled metadata harmonization across metabolomics repositories and indexing, allowing MASST-style searches to extend beyond GNPS6 and now include NORMAN/DSFP. Despite these advances and early demonstrations of its use, a limitation persisted: structure- and substructure-based queries using cheminformatics inputs such as names of molecules, SMILES or SMARTS (SMILES Arbitrary Target Specification) strings have not been possible, which has led to an overreliance on singular mass spectra selected by MS experts to represent a molecule’s behavior across public data searches that are dependent on diverse technologies. To address the challenge of structure-based exploration of public metabolomics data, we developed StructureMASST (https://structure-masst.gnps2.org/), a search engine and web-based application that enables...

Structure-centric searching enables global mapping of the public metabolome
->Nature | More on "Metabolomics public data repository mapping" at BigEarthData.ai

Dear Lipid and Membrane Enthusiasts,

There is only one month!! left to register and submit your abstracts for the @embo.org Workshop “Lipid Code to Life”, which will be held from September 7–11, 2026, in Dresden, Germany.

Workshop program and registration page: meetings.embo.org/event/26-lip...

Interesting #lipidtime food science: eating melted cheese increases your triglycerides and cholesterol more than eating the *exact same cheese* unmelted — possibly due to changes at the molecular level in a phospholipid *trilayer* that encapsulates fat in dairy products!

Single-cell proteomics by mass spectrometry: Technological overview and recent progress YouTube video by Nikolai Slavov

Single-cell proteomics by mass spectrometry: Technological overview and recent progress

From uncertain possibility to robust and rapidly advancing technologies:

1/2
youtu.be/tibkXV6NblI?...

The era of viewing the tumor in isolation is over. We are now looking at a multidimensional ecosystem where metabolic cues define cancer cell plasticity and therapy resistance.

Open Access
doi.org/10.59717/j.x...

Flexible ensheathment of axons enables myelination of complex CNS networks - Nature The rate of axon ensheathment varies within individual myelinating processes, resulting in chains of myelin sheaths connected by bridges consisting of thin cytoplasmic processes that provide&nbsp...

Latest offering. How myelin ensheathes axons!

Born from chat with Dwight Bergles on "weird things" we saw oligodendrocytes do, like making "bridges" between sheaths.

Driven forward by Cody Call, Kelly Monk, and myelin folks @edinburgh-uni.bsky.social

Enjoy!
www.nature.com/articles/s41...

Integrated metagenomic–metabolomic insights into plant–microbe interactions mediated by Bacillus volatile compounds | Applied and Environmental Microbiology Plant productivity and stress resilience are strongly influenced by interactions between plants and the rhizosphere microbiome, yet practical strategies to rationally modulate native soil microbial co...

Integrated metagenomic-metabolomic insights into plant-microbe interactions mediated by Bacillus volatile compounds

#ApplEnvironMicrobiol

journals.asm.org/doi/10.1128/...

How we analyze untargeted metabolomics data - yet another metabolomics club As a lab primarily interested in metabolomics applications, our publications usually focus on the biological results and their relevance. Much more rarely do we describe the infrastructure that turns ...

A long due overview of our "secret" engine:
metabolomics.blog/2026/03/how-...

#metabolomics #lipidomics #lcms #compms #masster

Harmonizing human plasma metabolite annotation with Plasma Benchmark - Nature Metabolism

#Throwback 🧪

CORRESPONDENCE | Harmonizing human plasma metabolite annotation with Plasma Benchmark
K Hanhineva et al.

Mitochondrial lactate venting limits oxidative stress The main function of mitochondria is to generate ATP by oxidizing pyruvate to CO2. Rauseo et al. show that matrix pyruvate is also converted to lactate, which is released to the cytosol via the MPC to...

A very interesting and thought provoking view on mitochondrial lactate!

Visualizing suborganellar lipid distribution using correlative light and electron microscopy - Nature Cell Biology Lennartz et al. introduce a correlative light and electron microscopy workflow, Lipid-CLEM, combining near-native lipid probes and on-section labelling via click chemistry. Lipid-CLEM quantitatively a...

I am extremely excited that my first first-author paper from my PhD is finally out 😆!! We developed a new CLEM workflow to measure lipid densities at the nanoscale. So if you are into lipids and super-resolution imaging approaches, this one is for you: www.nature.com/articles/s41...

ApoList – Feb-March 26 Necroptosis and RIPK1 Necroptosis in both tumour and stromal compartments determines responsiveness to immunogenic cell death-based immunotherapy Winnie Fernando, Jarama Clucas, Alberto Rizzo, Rams…

Literature on cell death from the past few weeks

Focus on necroptosis as immunogenic cel death relevant in for cancer responses, also in stromal cells, by the Meier lab @ttenev.bsky.social @pmeier.bsky.social

Apolist

celldeath.wordpress.com/2026/03/20/a...

I've been leading a big project at Methods in Enzymology over the past year or so: editing three back-to-back-to-back volumes of articles describing the latest advances in methods for studying lipids and membranes — thank you to the 50 #lipidtime luminaries who contributed the 51 chapters! Details 👇

Species-specific chromatin architecture and neurogenesis mediated by a human enhancer How human-specific DNA changes shape brain development is poorly understood. Mosti et al. discover a human enhancer, HAR1984, which drives ETV5 and TRA2B expression via human-enriched chromatin intera...

Great @cp-cellstemcell.bsky.social
work by @federicamosti.bsky.social & @debbysilver.bsky.social using human and chimpanzee organoids to uncover the role of an enhancer in regulating neurogenesis 🧪🧬🧠🧫

www.cell.com/cell-stem-ce...

[ASAP] Targeted and Nontargeted Detection and Quantitation of Arsenolipids in a Tuna Fish Reference Material (BCR-627) Using Reversed-Phase HPLC with High-Resolution Electrospray Mass Spectrometry and Inductively Coupled Plasma Mass Spectrometry Analytical ChemistryDOI: 10.1021/acs.analchem.5c06392

(ACS Anal Chem) [ASAP] Targeted and Nontargeted Detection and Quantitation of Arsenolipids in a Tuna Fish Reference Material (BCR-627) Using Reversed-Phase HPLC with High-Resolution Electrospray Mass Spectrometry and Inductively Coupled Plasma Mass Spectrometry: Analytical… #MassSpecRSS #ACSAChem

[ASAP] Comparison of Liquid Chromatography- and Nano-Electrospray Ionization-Mass Spectrometry Approaches for Single-Cell Metabolomics Analytical ChemistryDOI: 10.1021/acs.analchem.5c06318

(ACS Anal Chem) [ASAP] Comparison of Liquid Chromatography- and Nano-Electrospray Ionization-Mass Spectrometry Approaches for Single-Cell Metabolomics: Analytical ChemistryDOI: 10.1021/acs.analchem.5c06318 #MassSpecRSS #ACSAChem

Python metabolomics uncovers a conserved postprandial metabolite and gut-brain feeding pathway We used both targeted and untargeted metabolomics to identify circulating metabolites significantly altered by feeding in Burmese pythons. Pythons (approximately 2 years old and weighing 1.5–2.5 kg at the start of the study) were fed once every 28 days, with each meal amounting to approximately 25% of their body weight. Plasma samples were collected from fasted pythons and from pythons killed 3 days after feeding (Fig. 1a). In the comparison between 3 days after feeding and fasted python plasma samples, our targeted metabolomics platform detected several metabolites that were increased by 4–20-fold postprandially. For instance, we observed an increase in many circulating amino acids, especially the non-essential amino acids glycine (20-fold) and proline (ninefold) (Extended Data Fig. 1a). Fumarate and malate were also increased by 4–8-fold (Extended Data Fig. 1b). Lastly, several species of very-long-chain fatty acids, such as lignoceric acid (C24:0), hexacosanoic acid (C26:0) and hexacosenoic acid (C26:1) were also increased by 4–6-fold (Extended Data Fig. 1c). In our untargeted metabolomics platform, many more metabolites with even more dramatic increases after feeding were detected. Using a cut-off of a twofold change5, we found 208 metabolite features significantly (Padj < 0.05) increased, and 24 metabolites significantly decreased in plasma from...

Python metabolomics uncovers a conserved postprandial metabolite and gut-brain feeding pathway
->Nature | More on "Python feeding metabolomics gut-brain" at BigEarthData.ai

For a recent lab meeting, I wrote up a grab bag of ways to think about your development as a researcher during a PhD: emerge-lab.github.io/papers/an-un...

Sharing in case folks find it useful or have feedback!

The Missing CHIP Ignoring a very informative lab test

erictopol.substack.com/p/the-missin...
A biomarker you might want to know about

We're thrilled to announce the Ctrl-Z Award, a US$2,500 prize for researchers “who discover substantial errors in their published work and take meaningful steps to correct the scientific record."
Covered by @nature.com today; read more here: centerforscientificintegrity.org/2026/03/10/a...