mannlab.bsky.social
The Mann Lab is a pioneer in mass spectrometry-based proteomics. Posts represent personal views from lab members and Matthias Mann
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Thanks to Springer Nature SharedIt initiative, you can access a full-text view-only version of our proteomics review for free! Includes Enhanced PDF features like annotations, supplements & metrics. Access here: rdcu.be/ebo48 #OpenScience #Proteomics
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9/ Thanks to our collaborators including Simon Rasmussen, Torben Hansen, @majathiele.bsky.social, @aleksanderkrag.bsky.social, Jaao Fadista, and all
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8/ Finally, we provide an interactive web portal for exploring the results at pqtl.org.
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7/ We replicated pQTLs in 1,000 children and adolescents and 558 adults from an independent cohort of alcohol-related liver disease. We further explored whether integrating pQTLs could influence biomarker performance which indeed proved to be the case.
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6/ Using identified cis-pQTLs as genetic instruments, we performed systematic Mendelian randomization and colocalization analyses, identifying candidate causal genes for cardiometabolic traits across five therapy areas.
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5/ Plasma protein levels are influenced by various factors, but the degree varies from protein to protein. Through variance decomposition we found that some proteins are mainly influenced by genetic variants, while others are shaped by factors like age and obesity.
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4/ We tested 5.2 million SNPs for effects on plasma protein levels, leveraging peptide-level information to classify pQTLs by confidence and remove “epitope effect” artifacts. We also examined how technical factors such as CV and protein properties influence pQTL detection.
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3/ We highlight intriguing protein abundance trajectories through puberty, including sex hormone-related differences and key bone development proteins linked to growth plate closure during skeletal maturation, reflecting the sex differences in onset of puberty.
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2/ We used multiple linear regression to assess the impact of age, sex, and BMI-SDS on the plasma proteome, finding 58% of the proteins associated with at least one factor according to the data and our modeling. Plasma proteins in turn also predicted age and BMI.
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1/ Leveraging the recently introduced Orbitrap-Astral mass spectrometer, we measured the plasma proteomes of >3,000 individuals aged 5-20 in the HOLBAEK Study, quantifying >1,000 proteins per sample at 60 SPD throughput.
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0/ Despite advances in plasma proteomics, our understanding of plasma proteome variation and its determinants during pediatric development remains incomplete.
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3/ We highlight intriguing protein abundance trajectories through puberty, including sex hormone-related differences and key bone development proteins linked to growth plate closure during skeletal maturation, reflecting the sex differences in onset of puberty.
comment in response to
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2/ We used multiple linear regression to assess the impact of age, sex, and BMI-SDS on the plasma proteome, finding 58% of the proteins associated with at least one factor according to the data and our modeling. Plasma proteins in turn also predicted age and BMI.
comment in response to
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1/ Leveraging the recently introduced Orbitrap-Astral mass spectrometer, we measured the plasma proteomes of >3,000 individuals aged 5-20 in the HOLBAEK Study, quantifying >1,000 proteins per sample at 60 SPD throughput.
comment in response to
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0/ Despite advances in plasma proteomics, our understanding of plasma proteome variation and its determinants during pediatric development remains incomplete.