Job title: Payroll SpecialistLocation: Hybrid-Tualatin/Remote Position Status: Full-time Looking for a role where your work has real impact? At Xenium HR, we’re on a mission to transform workplaces for the better. You’ll join a team of passionate HR, Payroll, and Benefits professionals working with small and medium-sized businesses across the Pacific Northwest. We support businesses with limited or no internal HR resources, as well as companies with internal HR staff seeking expertise and tra...

The Kidney Tissue Atlas is a set of interactive tools built to promote retrieval, exploration, discovery, and analysis of the KPMP data by the greater research community.

The Kidney Tissue Atlas is a set of interactive tools built to promote retrieval, exploration, discovery, and analysis of the KPMP data by the greater research community.

We evaluated 11 segmentation methods (Watershed, BIDCell, Cellpose, SCS, SAM, SAM2, mSAM, Baysor, CelloType, Swin-s and Mask R-CNN) across 15 spatial transcriptomics datasets generated using 5 different technologies: Stereo-seq, Xenium, CosMx, STARmap PLUS and MERFISH (Fig. 1a, Supplementary Table 1 and Methods). The datasets span two species (mouse and human), 12 tissue types (brain, breast, embryo, lung, pancreas, skin, colon, stomach, ovarian, kidney, prostate and utero) and a wide range of cell counts, from around 700 cells in an ovarian cancer dataset to large cohorts of more than 800,000 cells in a prostate cancer dataset. We selected this diversity to reflect the breadth of contemporary spatial transcriptomics applications and to challenge segmentation robustness under heterogeneous biological and technical conditions (Supplementary Fig. 1a,b). We also performed cross-technology benchmarking (Fig. 1b) to account for discrepancies between platforms. This design separated algorithm-specific effects from platform-dependent biases. We conducted all the analysis using a unified benchmarking pipeline (Fig. 1c) that applies standardized quality control (QC), patch-based processing and consistent preprocessing across methods to ensure fair and reproducible comparisons. During preprocessing, we established data subsetting criteria for each dataset and method based on technical limitations (Methods). For methods that explicitly integrate transcriptomic information into their...

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Right ventricular failure (RVF) independently predicts mortality in heart failure, yet its pathophysiology is poorly understood. Here we present a multi-modal atlas of human right ventricular pressure loading and failure, including bulk (n = 142), single-nucleus (n = 11) and Xenium spatial (n = 9) transcriptomics in adults, plus pediatric (n = 14) and mouse pulmonary artery banding cohorts. Subclustering resolved 34 cell subtypes across 12 lineages along a two-phase trajectory. Phase 1...

YouTube video by Demoscene PL

YouTube video by Demoscene PL

10x Genomics to Launch Sentira for Spatial Data Analysis

Understanding complex tissue biology requires both deep single-cell profiling and high-resolution spatial context. The 10x Genomics Chromium Flex Apex and Xenium In Situ platforms provide…