The rockefeller university

Human monogenic traits can confer resistance to viral disease in infected individuals. Enhanced susceptibility can be driven directly by mutations in genes essential for control of the virus or indirectly via the production of autoantibodies against components of host defense. While the impact of viruses on individuals carrying these genotypes permitted their identification and has been amply studied, little is known about the impact of these human genotypes on the natural history of viruses, including not only persisting but also emerging viruses. We envisage several scenarios, including the possibility that genetically susceptible individuals serve as patient zeros, superspreaders, or mutation incubators, or that genetically resistant individuals even permit the selection of new viral mutants. Viruses are continually shared between individuals and even host species, where they can benefit from adaption to new environments. Current human viruses, as well as novel viruses from animal reservoirs, will continue to threaten the human population. Improvements in the scale of human genomic sequencing and analysis will permit testing hypotheses about the impact of human genetics on the origin and trajectory of viral infections, including future pandemics, which may ultimately help to prevent or curtail impending outbreaks.

Minimally invasive sampling of the skin using tape strips for conducting biomarker research is a growing research area in medical dermatology. The goal of this study was to utilise tape strip sampling to investigate changes in protein skin levels of psoriasis patients after oral treatment with orismilast (a PDE4B/D inhibitor). The proteins were measured in extracts of tape-strip samples taken from the skin of patients with moderate-severe psoriasis participating in a 16-week Ph2b study (IASOS). The proteins were measured using the Olink technology or an ELISA assay. Our results show that protein levels of multiple proteins (32/71) were upregulated at baseline in the lesional skin compared to non-lesional skin, including three key biomarkers of the psoriasis disease pathology (IL-17A, CCL20 and TNF alpha). The protein levels of these three biomarkers were significantly reduced at Week 16, reaching a percent reduction of 52% and 51% for IL-17A, 66% and 60% for TNF alpha, and 41% and 54% for CCL20 for the two doses analysed (20 and 30 mg bid, respectively). In addition, we observed that the clinical response of a 75% reduction in PASI (PASI75) was associated with a 98% reduction in IL-17A protein levels in lesional skin, irrespective of the orismilast dose. In summary, a significant reduction of key proteins related to the TH17 axis and TH1 axis was observed in the skin of psoriasis patients after treatment with oral orismilast, supporting the observed clinical effect. Finally, this constitutes the first report where protein levels from the skin of psoriasis patients are quantified using tape strips as a minimally invasive skin sampling technology in combination with the Olink technology.Trial Registration: ClinicalTrials.gov identifier: NCT05190419

The original 100.3 Mb reference genome for Caenorhabditis elegans, generated from the wild-type laboratory strain N2, has been crucial for analysis of C. elegans since 1998 and has been considered complete since 2005. Unexpectedly, this long-standing reference was shown to be incomplete in 2019 by a genome assembly from the N2-derived strain VC2010. Moreover, genetically divergent versions of N2 have arisen over decades of research and hindered reproducibility of C. elegans genetics and genomics. Here we provide a 106.4 Mb gap-free, telomere-to-telomere genome assembly of C. elegans, generated from CGC1, an isogenic derivative of the N2 strain. We use improved long-read sequencing and manual assembly of 43 recalcitrant genomic regions to overcome deficiencies of prior N2 and VC2010 assemblies and to assemble tandem repeat loci, including a 772 kb sequence for the 45S rRNA genes. Although many differences from earlier assemblies come from repeat regions, unique additions to the genome are also found. Of 19,972 protein-coding genes in the N2 assembly, 19,790 (99.1%) encode products that are unchanged in the CGC1 assembly. The CGC1 assembly also may encode 183 new protein-coding and 163 new ncRNA genes. CGC1 thus provides both a completely defined reference genome and corresponding isogenic wild-type strain for C. elegans, allowing unique opportunities for model and systems biology.

Background Recent advances in machine learning have revolutionized medical imaging. Currently, identifying brown adipose tissue (BAT) relies on manual identification and segmentation on Fluorine-(18) fluorodeoxyglucose positron emission tomography/computed tomography (F-18-FDG PET/CT) scans. However, the process is time-consuming, especially for studies involving a large number of cases, and is subject to bias due to observer dependency. The introduction of machine learning algorithms, such as the PET/CT algorithm implemented in the TriDFusion (3DF) Image Viewer, represents a significant advancement in BAT detection. In the context of cancer care, artificial intelligence (AI)-driven BAT detection holds immense promise for rapid and automatic differentiation between malignant lesions and non-malignant BAT confounds. By leveraging machine learning to discern intricate patterns in imaging data, this study aims to advance the automation of BAT recognition and provide precise quantitative assessment of radiographic features. Results We used a semi-automatic, threshold-based 3DF workflow to segment 317 PET/CT scans containing BAT. To minimize manual edits, we defined exclusion zones via machine-learning-based CT organ segmentation and used those organ masks to assign each volume of interest (VOI) to its anatomical site. Three physicians then reviewed and corrected all segmentations using the 3DF contour panel. The final, edited masks were used to train an nnU-Net V2 model, which we subsequently applied to 118 independent PET/CT scans. Across all anatomical sites, physicians reviewed the network's automated segmentations to be approximately 90% accurate. Conclusion Although nnU-Net V2 effectively identified BAT from PET/CT scans, training an AI model capable of perfect BAT segmentation remains a challenge due to factors such as PET/CT misregistration and the absence of visible BAT activity across contiguous slices.

Pregnancy brings about profound changes in the mammary gland to prepare for lactation, yet immunocyte changes that accompany this rapid remodeling are incompletely understood. We comprehensively analyzed mammary T cells, revealing a marked increase in CD4+ and CD8+ T effector cells, including an expansion of T cell receptor (TCR)alpha beta+CD8 alpha alpha+ cells, in pregnancy and lactation. T cells were localized in the mammary epithelium, resembling intraepithelial lymphocytes (IELs) typically found in mucosal tissues. Similarity to mucosal tissues was substantiated by demonstrating partial dependence on microbial cues, T cell migration from the intestine to the mammary gland in late pregnancy and shared TCR clonotypes between intestinal and mammary tissues, including intriguing public TCR families. Putative counterparts of mammary IELs were found in human breast and milk. Mammary IELs are thus poised to manage the transition from a nonmucosal tissue to a mucosal barrier during lactogenesis.

Genetic investigation in Mendelian skin disorders featuring generalized or localized skin scaling and redness, known as the ichthyoses, has revealed novel pathways relevant to epidermal integrity, barrier function, and desquamation. Here, we show that a recurrent de novo missense variant in EMP2 (epithelial membrane protein 2), which encodes a cell surface tetraspan protein in the growth- arrest specific 3 (GAS3)/peripheral myelin protein 22 (PMP22) family, is associated with a Mendelian skin disorder in the progressive symmetric erythrokeratoderma spectrum. The disorder features severely thickened, red, and scaly skin at sites of wound healing or repetitive movement including on the face, genitals, flexural areas, and the palms and soles. EMP2 has previously been shown to directly associate with focal adhesion kinase, which links cell junction forces to signaling pathways relevant to proliferation, migration, and wound healing. Using single- cell spatial transcriptomics in affected tissue, we found ectopic suprabasal activation of signaling pathways downstream of receptor tyrosine kinases including epidermal growth the key role of EMP2 in epidermal differentiation and proliferation.

Traditional chemical screens have focused on a single assay per screen, making them labor intensive and costly. Here, we combined a chemical screen with single-cell RNA sequencing (scRNA-seq) to perform Chemical Perturb-seq (ChemPerturb-seq), enabling a systematic analysis of the molecular changes of human beta cells upon individual small molecule treatments. Using this platform, we performed an in vivo barcoded screen and discovered a small molecule cocktail, including beta-lipotropin 61-91, insulin growth factor-1, and prostaglandin E2, with which preconditioning human beta cells and primary islets significantly enhanced function and survival when transplanted subcutaneously to female, but not to male, mice. We identified two additional molecules, serotonin and histamine, that promote islet function when transplanted subcutaneously to male mice using ChemPerturb-seq. Such small molecule cocktails could be applied to improve the current FDA-approved islet transplantation procedure. Finally, we developed an artificial intelligence (AI)-powered website, ChemPerturbDB, which provides user-friendly open access analysis of the extensive ChemPerturb-seq dataset.

Epidermal stem cells produce the skin's barrier that excludes pathogens and prevents dehydration. Hair follicle stem cells (HFSCs) are dedicated to bursts of hair regeneration, but upon injury, they can also reconstruct, and thereafter maintain, the overlying epidermis. How HFSCs balance these fate choices to restore physiologic function to damaged tissue remains poorly understood. Here, we uncover serine as an unconventional, non-essential amino acid that impacts this process. When dietary serine dips, endogenous biosynthesis in HFSCs fails to meet demands (and vice versa), slowing hair cycle entry. Serine deprivation also alters wound repair, further delaying hair regeneration while accelerating re-epithelialization kinetics. Mechanistically, we show that HFSCs sense each fitness challenge by triggering the integrated stress response, which acts as a rheostat of epidermal-HF identity. As stress levels rise, skin barrier restoration kinetics accelerate while hair growth is delayed. Our findings offer potential for dietary and pharmacological intervention to accelerate wound healing.