Our preprint is out! https://t.co/SkPevYrs78
We explored #breastcancer risk through the circulating #proteome and found menopausal hormonal therapy to be linked with altered protein levels even years after end of treatment 1/4
Looking for a data scientist to help us strengthen our abilities to draw robust biological inferences from large-scale data generated in the Single-Cell Omics Platform at @metabolcenter@UCPH_health
https://t.co/GFXBQLfUIs
We profiled the #proteomes of dried blood spots #DBS collected during the first wave of the #pandemic using @OlinkProteomics and studied circulating proteins between subjects we previously stratified via multiplexed #serology assays: https://t.co/woydu1c0Sl
Excited to announce that our work on SARS-CoV-2 #serology with dried blood spots has now been #reviewed and published today in @NatureComms - Huge thanks to all participants, co-authors, constructive reviewers, funders…. Read 👉 https://t.co/8TzGFVlWmi
This subgroup of women had ⬇️ levels of proteins related to DNA repair and cell replication, ⬆️ levels of proteins related to mammographic density and female tissues indicating a role for these proteins in increased breast cancer risk following menopausal hormonal therapy 4/4
Our preprint is out! https://t.co/SkPevYrs78
We explored #breastcancer risk through the circulating #proteome and found menopausal hormonal therapy to be linked with altered protein levels even years after end of treatment 1/4
We profiled 700 proteins in 549 women from the Swedish breast cancer cohort KARMA. Using archetypal analysis on the protein profiles, we identified a subgroup of women with increased use of menopausal hormonal therapy and increased breast cancer risk 3/4
Hello, all the #Bioinformatics and computational biology people of Denmark!
We invite you to a General Assembly on the *27th of October, 17:00*
We are looking for new members, passionate to build the Danish bioinformatics environment together with us.
https://t.co/xBmT9i1nxu
Our recent work on profiling of serum/plasma for proteins associated to age and mortality. Great effort by Mun-Gwan Hong and fantastic collaborators and cohorts @scilifelab @KTHresearch @karolinskainst @HumanProteome
Always a experience when the final accepted version goes live! Big thanks to everyone involved and supporting us along the way, including constructive reviewers @scilifelab @KTHresearch @karolinskainst@SahlgrenskaAcad https://t.co/sv8ILN4wdj @EBioMedicine
Non-alcoholic fatty liver is a major driver of morbidity & mortality, w/ ~1/4 ppl affected. Our new machine learning prediction models will aid early detection: https://t.co/TQWMMWW8vZ @DIRECTdiabetes@DiabetesLUDC@EliLillyCo @IMI_JU
Proud to share our most recent manuscript on "Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling". Credits go to Tea for her excellent work, thanks to the amazing @SchwenkLab and everyone @ProteinAtlas
https://t.co/AfLGixUDNP
Enjoying science, sun and meeting former colleagues at #EASD2019. Presenting my poster tomorrow at 13.15 on individual effects of gastric bypass surgery on longitudinal blood protein profiles @DIRECTdiabetes
Paper on predicting survival of intensive care patients from @TheBrunakLab just published in @LancetDigitalH. Excited to have played a part in this work: https://t.co/GQ8vGZci8P
New algorithm uses disease history to predict intensive care patients’ chances of survival - new study out by #BrunakLab and @Rigshospitalet in the @LancetDigitalH - https://t.co/X161Fa1RXt. Also check out @politiken article about the study in Danish https://t.co/cJwoVbOUv2
Come and work with us! Fantastic opportunity to join @scilifelab's dynamic environment in #Stockholm as Head of the Plasma Profiling Facility. @KTHresearch @HumanProteome https://t.co/96vsWDrG56