Simranjeet Kaur @simranjeet
Assistant Professor, Researcher in #T1D @stenodiabetes #Bioinformatics #BigData #Genomics #NGS Copenhagen, Denmark Joined April 2009-
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Both high and low iron intake together with genetic variation in key iron handling genes contribute to risk of islet-specific autoimmunity and type 1 diabetes in children with high-risk HLA genotypes @ADA_Pubs Read Here➡️doi.org/10.2337/dc22-1…
Huge congratulations 🎊 to Caroline Frørup for a successful PhD defense on "Role of Non-coding RNAs in Type 1 Diabetes" . It has been a pleasure being a co-supervisor along with @FPociot, Joachim Størling and Jesper Johannesen. @Stenodiabetes @T1DBiology
Allelic variants of N glycosylation and complement genes contribute to altered plasma protein and IgG N glycosylation in children at the onset of #T1D compared with their healthy siblings @NajdaRudman @GornikLab @SveucilisteZG @hrzz_science bit.ly/3n6uQLL 🔓
An important resource for researchers in the field of LncRNAs and Diabetes published by Prof. Shizuka Uchida in the special issue "Non-coding RNA and Diabetes 2.0" mdpi.com/si/128963 mdpi.com/2283324 @Non_Coding_RNA @Heart_lncRNA
It's not over till it's over! A few more topics to go, before the closure of this year's INNODIA annual meeting. A big shout out to all of the passionate people in the INNODIA family for the tireless work and huge efforts helping make INNODIA so unique.
With 140 attendees in person and at least 30 more on ZOOM, we kicked off the annual meeting for the entire INNODIA family today! Many exciting talks, data shares, interactive session and poster presentations are on the program. Ready to rumble!
Network based methods and genetic associations from 1002 traits defines a pleiotropy map of human cell biology
Network based methods and genetic associations from 1002 traits defines a pleiotropy map of human cell biology
Excited to share the first article published in the special issue on "Non-coding RNA and Diabetes 2.0" mdpi.com/si/128963. Here we explore the role of circular RNAs in Type 1 Diabetes mdpi.com/1881100 #mdpincrna via @Non_Coding_RNA @T1DBiology
Submissions are welcome to a special issue of Non-coding RNA and Diabetes 2.0 mdpi.com/si/128963 #mdpincrna via @Non_Coding_RNA
Our latest article: Genetic Variants Associated with Neuropeptide Y Autoantibody Levels in Newly Diagnosed Individuals with Type 1 Diabetes doi.org/10.3390/genes1… @Genes_MDPI
So proud to announce that together with the University of Melbourne and University of Copenhagen we found that IgG and plasma protein N-glycosylation changes at the onset of type 1 diabetes, which is published in @DiabetologiaJnl and freely available at doi.org/10.1007/s00125….
Excited to share our new study on plasma exosome derived miRNAs from #type1diabetes mothers during postpartum period published in #FrontImmunol #Stenodiabetes
Excited to share our new study on plasma exosome derived miRNAs from #type1diabetes mothers during postpartum period published in #FrontImmunol #Stenodiabetes
Genetic predisposition in the 2’-5’A pathway in the development of #type1diabetes: potential contribution to dysregulation of innate antiviral immunity @Rigshospitalet @aarhus_kris #T1D #Research #PathologyDepartment #BartholinInstitute bit.ly/3obY3RM 🔓 #toptweet
Excited to share our latest work : A Dual Systems Genetics Approach Identifies Common Genes, Networks, and Pathways for Type 1 and 2 Diabetes in Human Islets frontiersin.org/article/10.338…
Our #EpiMap paper is now @Nature: systematic dissection of #DiseaseCircuitry, including predicted driver variants, enhancers, regulators, target genes, and relevant tissues/cell types across 30,000 genetic loci, 540 traits, 833 tissues rdcu.be/ceIb4 #Epigenomics #GWAS
Our #EpiMap paper is now @Nature: systematic dissection of #DiseaseCircuitry, including predicted driver variants, enhancers, regulators, target genes, and relevant tissues/cell types across 30,000 genetic loci, 540 traits, 833 tissues rdcu.be/ceIb4 #Epigenomics #GWAS https://t.co/bwP8QLiMv8
An integrated multi-omics approach identifies the link between HLA genotypes, islet autoimmunity and lipid profiles in individuals with high risk for T1D. Great work @AnneJulieOverg1 @T1DBiology @Stenodiabetes
An integrated multi-omics approach identifies the link between HLA genotypes, islet autoimmunity and lipid profiles in individuals with high risk for T1D. Great work @AnneJulieOverg1 @T1DBiology @Stenodiabetes
Just published book chapter for "The Chemical Biology of Long Noncoding RNAs" with #Springer springer.com/978-3-030-4474… via @SN_Authors
Important message from Dr. Størling at @Innodiagroup annual meeting: Key to T1D and T2D is beta-cell apoptosis. @IMI_JU @EFPIA @HelmsleyTrust @JDRF
An INNODIA-related study of great significance has just been posted in Nature Genetics. 3 PI's @Innodiagroup are involved in this valuable publication. Dr. J.Todd, Dr. D. Eizirik and Dr. P. Marchetti. Congratulations! @IMI_JU @EFPIA @HelmsleyTrust @JDRF nature.com/articles/s4158…
“findings suggest a role of breast milk-derived exomiRs in modulating the infant's immune system.” Immune/monocyte sensitizing miRNAs to LPS from T1D (dysbiotic?) mothers are upregulated compared to controls. frontiersin.org/articles/10.33…

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