Publications by authors named "R Karlsson"
Article Synopsis
- - This study is the first large-scale examination of rare copy number variants (CNVs) in anorexia nervosa (AN), involving data from 7,414 AN cases and 5,044 controls to explore their potential genetic links to the disorder.
- - The researchers investigated both well-known syndromic CNVs and those associated with other diseases but found no significant links between these variants and AN; however, they identified 21 potential CNV regions that may play a role in AN risk, particularly in areas related to metabolic and neurodevelopmental factors.
- - Ultimately, the findings suggest that rare CNVs have a limited impact on the development of AN, aligning it with other psychiatric disorders like bipolar disorder, and indicate that
Access to defined glycans and glycoconjugates is pivotal for discovery, dissection, and harnessing of a range of biological functions orchestrated by cellular glycosylation processes and the glycome. We previously employed genetic glycoengineering by nuclease-based gene editing to develop sustainable production of designer glycoprotein therapeutics and cell-based glycan arrays that display glycans in their natural context at the cell surface. However, access to human glycans in formats and quantities that allow structural studies of molecular interactions and use of glycans in biomedical applications currently rely on chemical and chemoenzymatic syntheses associated with considerable labor, waste, and costs.
View Article and Find Full Text PDFBreast milk is an essential source of nutrition and hydration for the infant. In addition, this highly complex fluid is rich in extracellular vesicles (EVs). Here, we have applied a microfluidic technology, lipid-based protein immobilization (LPI) and liquid chromatography with tandem mass spectrometry (LC-MS/MS) to characterize the proteome of human milk EVs.
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- The paper introduces MulCPred, a new framework designed to provide explainable predictions for pedestrian action, which is essential for applications like autonomous driving.
- It addresses limitations of existing methods by using a linear aggregator for multi-modal concept integration, a channel-wise recalibration module for focusing on detailed input areas, and a regularization loss to capture diverse patterns.
- Evaluation on various datasets shows that MulCPred enhances the explainability of predictions without significantly harming accuracy, and by filtering out unrecognizable concepts, it improves performance across different datasets.
Molecular similarities between embryonic and malignant cells can be exploited to target tumors through specific signatures absent in healthy adult tissues. One such embryonic signature tumors express is oncofetal chondroitin sulfate (ofCS), which supports disease progression and dissemination in cancer. Here, we report the identification and characterization of phage display-derived antibody fragments recognizing two distinct ofCS epitopes.
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