Isabel Meister
isabelmeister.bsky.social
Isabel Meister
@isabelmeister.bsky.social
#metabolomics and #lipidomics scientist - University of Geneva 🇨🇭
Advancing untargeted LC-MS-based approaches for toxicological applications
Reposted by Isabel Meister
An open webinar on our reproducibility project 'WHAT 400 DROSOPHILA PAPERS Teach Us about Doing Better Science' on December 9th 2PM EEST time (1PM Swiss time). Registration below
November 24, 2025 at 4:31 PM
Reposted by Isabel Meister
☕Li et al. uncover a connection between #metabolic cues and #mitochondria protein degradation, showing that specifically leucine stabilizes outer mitochondrial membrane proteins by inhibiting ubiquitylation and promoting mitochondrial respiration.
bit.ly/48t7ZPw
Leucine inhibits degradation of outer mitochondrial membrane proteins to adapt mitochondrial respiration - Nature Cell Biology
Li et al. uncover a connection between metabolic cues and mitochondrial protein degradation, showing that specifically leucine stabilizes outer mitochondrial membrane proteins by inhibiting ubiquityla...
bit.ly
November 23, 2025 at 7:00 AM
Reposted by Isabel Meister
This team are searching for new "Asgard archaea" to sequence.

Let's talk about why these bacteria-like organisms are so fascinating, why they're named for Norse mythology, and why looking at them is unlocking a better understanding of our own genomes.

Once considered a type of oddball bacteria🦠...
#AsgardArchaea team, led by @archaeal.bsky.social fr @texasscience.bsky.social — sequencing the DNA collected fr mouth of Rio de la Plata to the continental shelf of Uruguay to detect Asgards, a group of single-celled organisms & our closest microbial relatives on the tree of life. bit.ly/3MdniTH
November 21, 2025 at 1:25 PM
Reposted by Isabel Meister
Did you ever come across a phosphosite in your proteomics data for which nothing was known? - I bet so!

We have developed a new strategy termed "potency coherence analysis" that leverages the drug potency dimension in decryptM to decode the kinases that shape the human phosphoproteome.

Read more:
Chemical proteomics decrypts the kinases that shape the dynamic human phosphoproteome
Mass-spectrometry-based phosphoproteomics enables the analysis of thousands of protein phosphorylation events across the human proteome. However, there is a lack of scalable, hypothesis-free, and stat...
doi.org
November 19, 2025 at 10:43 AM
Reposted by Isabel Meister
Genome-wide association analyses reported in Nature Genetics identify differences in the genetic architectures of early-onset and late-onset major depressive disorder and in their genetic correlations with related traits. go.nature.com/4o3eu0c 🧬 🧪
November 19, 2025 at 8:42 PM
Reposted by Isabel Meister
A paper in Nature Biotechnology presents CellWhisperer, which uses multimodal learning of transcriptomes and text to answer questions about single-cell RNA-sequencing data. go.nature.com/3XqzItR 🧬 🧪
November 20, 2025 at 2:42 AM
Reposted by Isabel Meister
The SIMPLIFY Protocol: A Monophasic Extraction System Suitable for Exposomics, Metabolomics, Lipidomics, and Proteomics Research #AC pubs.acs.org/doi/10.1021/...
The SIMPLIFY Protocol: A Monophasic Extraction System Suitable for Exposomics, Metabolomics, Lipidomics, and Proteomics Research
Advancing our understanding of human health and disease requires comprehensive analytical approaches capable of capturing the complex interplay between endogenous metabolism and environmental exposure...
pubs.acs.org
November 19, 2025 at 8:24 PM
Reposted by Isabel Meister
Magnetic bead-assisted extraction combined with LC–MS/MS for simultaneous quantification of aldosterone and related steroids in human plasma #ABC link.springer.com/article/10.1...
Magnetic bead-assisted extraction combined with LC–MS/MS for simultaneous quantification of aldosterone and related steroids in human plasma - Analytical and Bioanalytical Chemistry
The quantitative analysis of aldosterone and its associated steroid hormone profile including aldosterone (ALD), 18-hydroxycorticosterone (18-OHB), 18-hydroxycortisol (18-OHF), 18-oxocortisol (18-OXOF...
link.springer.com
November 19, 2025 at 11:12 AM
Reposted by Isabel Meister
Reposted by Isabel Meister
Nous avons jusqu'à mercredi, date à laquelle se réunira le Conseil fédéral, pour faire valoir notre voix et mettre fin à l'accord prévu avec Trump. Pour défendre nos valeurs démocratiques et la transparence que nous exigeons du Conseil fédéral, signez dès maintenant.
www.sp-ps.ch/fr/campagne/...
Stoppez l'accord avec Trump - Signez l'appel maintenant !
Ensemble, nous pouvons empêcher la Suisse de prendre des engagements qui mettent en danger nos valeurs démocratiques, notre indépendance et nos normes.
www.sp-ps.ch
November 17, 2025 at 8:01 PM
Reposted by Isabel Meister
Optimizing MS Parameters for Data-Independent Acquisition (DIA) to Enhance Untargeted Metabolomics #JProteomeRes pubs.acs.org/doi/10.1021/...
Optimizing MS Parameters for Data-Independent Acquisition (DIA) to Enhance Untargeted Metabolomics
Data-Independent Acquisition (DIA) has emerged as a powerful mass spectrometry (MS) strategy for comprehensive metabolomics. This study presents a novel short gradient (13 min) nanosensitive analytical method for human plasma analysis using DIA LC-MS/MS, focusing on in-depth optimization of MS parameters to maximize data quality and metabolite coverage. Key MS parameters, including scan speed, isolation window width, resolution, automatic gain control, and collision energy, were systematically tuned to balance the sensitivity and specificity while minimizing interferences. The optimized method enabled the detection of 2,907 features with 675 annotated compounds, leveraging recent progress in nano-LC-MS/MS for multiomics applications and showcasing the possibility of combining proteomics and metabolomics within a single chromatographic system. Ultimately, a comparison was performed between the data acquired through the DIA and DDA MS approaches in the context of untargeted metabolomics. This optimized analytical method yields more robust and reproducible results, thereby expanding the potential for meaningful discoveries across diverse biological fields.
pubs.acs.org
November 12, 2025 at 9:20 PM
High-Performance Proteomics Using Nano-, Capillary-, and Microflow Chromatographic Separations
Current applications of mass-spectrometry-based proteomics range from single-cell to body fluid analysis, each presenting very different demands regarding sensitivity or sample throughput. Additionally, the vast molecular complexity of proteomes and the massive dynamic range of protein concentrations in these biological systems require highly performant chromatographic separations in tandem with the high speed and sensitivity afforded by modern mass spectrometers. In this study, we focused on the chromatographic aspect and, more specifically, systematically evaluated proteome analysis performance across a wide range of chromatographic flow rates (0.3–50 μL/min) and associated column diameters using a Vanquish Neo HPLC coupled online to a Q Exactive HF-X mass spectrometer. Serial dilutions of HeLa cell line digests were used for benchmarking, and the total analysis time from injection to injection was intentionally fixed at 60 min (24 samples per day). The three key messages of the study are that (i) all chromatographic flow rates are suitable for high-quality proteome analysis, (ii) capLC (1.5 μL/min) is a very robust, sensitive, and quantitative alternative to nLC for many applications, and (iii) showcased proteome, phosphoproteome, and drug proteome data provide sound empirical guidance for laboratories in selecting appropriate chromatographic flow rates and column diameters for their specific applications.
pubs.acs.org
November 12, 2025 at 5:35 PM
Reposted by Isabel Meister
Thrilled to share our new paper, out now in @natneuro.nature.com, uncovering how estradiol, the most potent estrogen, modulates reinforcement learning and reward prediction errors across biological levels. www.nature.com/articles/s41...

#blueprint 1/7
Estrogen modulates reward prediction errors and reinforcement learning - Nature Neuroscience
Dopamine encoding of reward prediction errors naturally fluctuates over females’ reproductive cycles with estrogenic signaling due to reduced expression of dopamine reuptake proteins.
www.nature.com
November 11, 2025 at 2:41 PM
Reposted by Isabel Meister
Wow what a fun mass spectrometer! Our preprint peaks with an MS4 experiment on oligos in negative mode, combining three different ion isolation modes and three different activation methods: electrons for EDD, collisions, and IRMPD 😅 www.biorxiv.org/content/10.1...
www.biorxiv.org
November 11, 2025 at 8:42 PM
Reposted by Isabel Meister
We wrote the Strain on scientific publishing to highlight the problems of time & trust. With a fantastic group of co-authors, we present The Drain of Scientific Publishing:

a 🧵 1/n

Drain: arxiv.org/abs/2511.04820
Strain: direct.mit.edu/qss/article/...
Oligopoly: direct.mit.edu/qss/article/...
November 11, 2025 at 11:52 AM
Reposted by Isabel Meister
Launching celldynamicslab.com, the homepage of our new group at EPFL working on cell fragmentation, membrane and cortex mechanics, FLIM imaging, and microfluidics tools. MSc/PhD or postdocs interested in quantitative cell biology are welcome to reach out. We're also hiring a lab manager in 2026!
Main - Cell Dynamics and Fragmentation Lab
The Cell Dynamics and Fragmentation lab at We study how single cells move and fragment in complex environments using microfluidics. We bring tools and concep...
celldynamicslab.com
November 11, 2025 at 5:10 PM
Reposted by Isabel Meister
So cool to see this one finally out. Oxylipins continue to fascinate with their multiple functions. What an amazing group of compounds. Shout out to Marina Botana @greasy-scientist.bsky.social for a fantastic study. The first of many to come!
November 10, 2025 at 10:12 AM
Reposted by Isabel Meister
Proteoforms encoded by the same gene have different interactomes.

This challenges:
1⃣ The interpretation of data from affinity reagents directed towards shared epitopes.

2⃣ The assignment of functions to genes.

When will biological research focus on such functional differences?
November 6, 2025 at 12:52 PM
Reposted by Isabel Meister
Now that we have Hidden Markov Models do we still need correlation matrices?? 😀
For example, this looks cool.

(I'm aware that HMMs are not new, I played with them in grad school...)
doi.org/10.1016/j.is...
#neuroskyence
November 8, 2025 at 4:12 PM
Reposted by Isabel Meister
Paternò-Büchi Reaction-Mediated High-Selectivity Screening of Isoprene-Containing Naturals by LC-HRMS #Talanta www.sciencedirect.com/science/arti...
Paternò-Büchi Reaction-Mediated High-Selectivity Screening of Isoprene-Containing Naturals by LC-HRMS
The selective analysis of isoprene-containing natural products, such as triterpenoid saponins and prenylated flavonoids, remains a major challenge in …
www.sciencedirect.com
November 8, 2025 at 11:30 AM
Reposted by Isabel Meister
1/New paper from Zheng Wu, Phong Nguyen et al. @cri-utsw.bsky.social shows how cells balance the two pathways that produce purine nucleotides: de novo purine biosynthesis (DNPB) and purine salvage. The surprising mechanism involves NUDT5, a Nudix hydrolase

www.science.org/doi/10.1126/...
NUDT5 regulates purine metabolism and thiopurine sensitivity by interacting with PPAT
Cells generate purine nucleotides through de novo purine biosynthesis (DNPB) and purine salvage. Purine salvage represses DNPB to prevent excessive purine nucleotide synthesis through mechanisms that ...
www.science.org
November 6, 2025 at 7:01 PM
Reposted by Isabel Meister
This new miBrain model from MIT has it all:

🧠 Neurons, microglia, oligodendroglia, astrocytes, pericytes, & brain microvascular endothelial cells
⚙️ Key features & functions of the human brain
👩‍👦 Specificity to individual donors
🧬 Customizability via gene editing
📈 Scalability for large projects
November 3, 2025 at 7:28 PM
Reposted by Isabel Meister
Thank you Alzforum for featuring our new preprint identifying regulators of disease states of #microglia.

Project led by Amanda McQuade, computation by Reet Mishra, collaboration with the Nunez and De Jager labs.

Alzforum
www.alzforum.org/news/researc...

Preprint
www.biorxiv.org/content/10.1...
October 22, 2025 at 6:28 PM