
Microbial Omics at @metabolomicaceu Assistant professor in Genetics at @MedicinaCEU “Biology reveals the poetry of matter.”
Madrid, Comunidad de Madrid
Joined September 2017
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Miguel Fernández-García retweeted
✨ Este viernes 26 acompáñanos en “¿Metabo… qué? Conociendo los metabolitos: las piezas del puzle 🧩de la vida” en el CEMBIO @metabolomicaceu en @FarmaciaCEU @USPCEU Descubre cómo investigamos el papel de los metabolitos en nuestra salud
Miguel Fernández-García retweeted
We are back again with the April Molecule of the month featuring Colibactin! Check out more at cmmc.gnps2.org
Miguel Fernández-García retweeted
Understanding probability is essential in data science.
In 4 minutes, I'll demolish your confusion.
Let's go!
Miguel Fernández-García retweeted
🚨 BREAKING: IBM launches a free Python library that converts ANY document to data
Introducing Docling. Here's what you need to know: 🧵
Miguel Fernández-García retweeted
Moving from genome-scale to community-scale metabolic models for the human gut microbiome nature.com/articles/s41564-0…
Miguel Fernández-García retweeted
The US National Institutes of Health has terminated nearly 800 research projects at a breakneck pace, wiping out significant chunks of funding to entire scientific fields
Read the full story: go.nature.com/4j8z2Tk
Miguel Fernández-García retweeted
After 21 years at my dream job, I’m very sad to announce my early retirement from the National Institutes of Health. My life’s work has been to scientifically study how our food environment affects what we eat, and how what we eat affects our physiology. Lately, I’ve focused on unravelling the reasons why diets high in ultra-processed food are linked to epidemic proportions of chronic diseases such as diabetes and obesity. Our research leads the world on this topic.
Given recent bipartisan goals to prevent diet-related chronic diseases, and new agency leadership professing to prioritize scientific investigation of ultra-processed foods, I had hoped to expand our research program with ambitious plans to more rapidly and efficiently determine how our food is likely making Americans chronically sick.
Unfortunately, recent events have made me question whether NIH continues to be a place where I can freely conduct unbiased science. Specifically, I experienced censorship in the reporting of our research because of agency concerns that it did not appear to fully support preconceived narratives of my agency’s leadership about ultra-processed food addiction.
I was hoping this was an aberration. So, weeks ago I wrote to my agency’s leadership expressing my concerns and requested time to discuss these issues, but I never received a response. Without any reassurance there wouldn’t be continued censorship or meddling in our research, I felt compelled to accept early retirement to preserve health insurance for my family. (Resigning later in protest of any future meddling or censorship would result in losing that benefit.) Due to very tight deadlines to make this decision, I don’t yet have plans for my future career.
The NIH has been a wonderful place because it allows scientists to take risks, form unique collaborations, and do studies difficult to conduct elsewhere. I’m proud of what we’ve accomplished and I’m fortunate to have had such wonderful colleagues and scientific collaborators. I hope to someday return to government service and lead a research program that will continue to provide gold-standard science to make Americans healthy.
Miguel Fernández-García retweeted
#research #massspectrometry #lipidomics
Rapid MALDI-MS/MS-Based Profiling of Lipid A Species from Gram-Negative Bacteria Utilizing Trapped Ion Mobility Spectrometry and mzmine (Rudt, Froning, Heuckeroth, Ortmann, Diemand, Hörnschemeyer, Pleger, Vinzelberg, @rschmid1789, @tomas_pluskal, Dobrindt, Hayen, Korf) – Analytical Chemistry: doi.org/10.1021/acs.analchem…
@IOCBPrague @Akademie_ved_CR @mzmine_project @wwu_muenster
Miguel Fernández-García retweeted
Scientists have created the first map of mitochondria throughout the entire brain
go.nature.com/4lnzqyX
Miguel Fernández-García retweeted
Out today! Spectral Denoising removes chemical and electronic noise from mass spectrometry data to improve metabolite annotation. @WCMC_UCDavis
nature.com/articles/s41592-0…
Miguel Fernández-García retweeted
Hace hoy una semana que @lauramayomar defendió su tesis #Anorexia #Metabolomics #Microbiome. Un orgullo enorme haberla dirigido (ok, co-dirigido @antogarfer 😉) y haber podido compartir tiempo con una persona tan excepcional. En todo. Solo me queda desearte todo lo mejor
Miguel Fernández-García retweeted
La NASA acaba de publicar uno de los mapas más detallados hasta la fecha del fondo marino, basado en los datos captados por el satélite SWOT.
nasa.gov/missions/swot/next-…
Hoy hemos acercado la Ciencia🔬🧬 a los jóvenes de Alcobendas a través de la microscopía óptica en la asoc. juvenil Yambo.
Es todo un placer contribuir a motivar a la futura generación de científicos a descubrir su pasión y camino 💯
#ciencia #research #young #microscopy
Miguel Fernández-García retweeted
From now on we will also start posting in a place where the skies are bluer.🦋 Make sure to follow us on both platforms to keep up with all our latest research updates. 🔎👀
Miguel Fernández-García retweeted
Replying to @Pdorrestein1
The first link is broken. Here is the correct:
nature.com/articles/s42255-0…
Miguel Fernández-García retweeted
got microbial metabolites? Add to the public knowledgebase available through GNPS2!
cmmc.gnps2.org
Miguel Fernández-García retweeted
This preprint allows for “explanation” of the ion forms using khipu ore annotation and conclude that the dark matter are mostly real compounds - still dark. They find less than 10% ISFs. In the end ISF prevalence is dependent on instrument tuning, type/amt of analyte, matrix, etc
“Therefore, the "dark matter" of metabolomics is largely explainable.” in a new paper by Shuzhao Li.
biorxiv.org/content/10.1101/…
nature.com/articles/s42255-0…
Miguel Fernández-García retweeted
Over-exercising induces irreversible liver fibrosis (who knew?) by inducing the secretion of damaging vesicles from muscles called “lactate bodies” @Cell_Metabolism
Enhorabuena a todos los premiados en la Conversión de San Pablo 2025!!! 🎆🎆🎇🎉🎉 #SanPablo2025

































