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In this talk, Dr. Waickman will discuss applications for scRNAseq in assessing both the innate and adaptive immune response to viral infection, as well as techniques for detecting and quantifying cell-associated viral RNA/DNA.

Learn how to resolve heterogeneous and diverse functional states of the immune system, enabling biomarker discovery and therapeutic development with 10x Genomics technology.

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

Imagine accessing the full richness of biological complexity all at once, instead of one small piece at a time. Join us to learn how you can uncover molecular insights, dissect cell-type differences, detect novel cell subtypes and biomarkers, define gene regulatory interactions, and decipher spatiotemporal gene expression patterns. See biology at true resolution.

Learn about 10x Genomics' latest product portfolio and how it can be used to uncover new insights into normal brain function and neurological disease.

Discover how single cell and spatial multiomics are transforming our understanding of the complex interplay between tumor, microenvironment, and immune compartments - from cancer progression to therapeutic resistance.

Single cell technologies, including notably spatially resolved extensions through Visium, provide unprecedented characterization of the molecular and cellular states reflecting tumor heterogeneity. We highlight how matrix factorization techniques provide a robust toolset to use these data to interpret immune cell and cancer cell interactions across single cell measurement technologies.

Find out how Visium Spatial Gene Expression Solution software tools can help you analyze and visualize your spatial gene expression data.

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

Learn how Visium Spatial Solutions are enabling researchers to map the whole transcriptome with morphological context to discover novel insights into normal development, disease pathology, and clinical translational research.

The Visium Spatial Gene Expression workflow is designed to be managed in one working day, but many labs also utilize services from one or more local core facilities. Let’s explore scenarios and success stories from service providers supporting core facility engagement in the Visium workflow.

In this discussion and Q&A session we’ll take a detailed look at what you need to prepare to work with Visium Spatial Gene Expression solutions, including considerations for setting up your first experiments, reagent kits, and sequencing support recommendations.

There is an urgent need to create novel models using human disease-relevant cells to study SARS-CoV-2 biology and to facilitate drug screening. As SARS-CoV-2 primarily infects the respiratory tract, we developed a lung organoid model using human pluripotent stem cells (hPSC-LOs). The hPSC-LOs, particularly alveolar type II-like cells, are permissive to SARS-CoV-2 infection, and showed robust induction of chemokines upon SARS-CoV-2 infection, similar to what is seen in COVID-19 patients. Nearly 25% of these patients also have gastrointestinal manifestations, which are associated with worse COVID-19 outcomes1. We therefore also generated complementary hPSC-derived colonic organoids (hPSC-COs) to explore the response of colonic cells to SARS-CoV-2 infection. We found that multiple colonic cell types, especially enterocytes, express ACE2 and are permissive to SARS-CoV-2 infection. Using hPSC-LOs, we performed a high throughput screen of FDA-approved drugs and identified entry inhibitors of SARS-CoV-2, including imatinib, mycophenolic acid (MPA), and quinacrine dihydrochloride (QNHC). Treatment at physiologically relevant levels of these drugs significantly inhibited SARS-CoV-2 infection of both hPSC-LOs and hPSC-COs. Together, these data demonstrate that hPSC-LOs and hPSC-COs infected by SARS-CoV-2 can serve as disease models to study SARS-CoV-2 infection and provide a valuable resource for drug screening to identify candidate COVID-19 therapeutics.

Single cell solutions for infectious disease.

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

Learn about the wide range of multiomic offerings that 10x provides to enable researchers to expand their studies, including: combining single cell and spatial gene expression, spatial proteogenomics, multiomic cytometry, and our recently launched Single Cell Multiome ATAC + Gene Expression solution.

How to prepare samples that require upstream handling steps, including antibody staining and flow sorting or bead-based enrichment.

Engage with bioinformatics industry experts about best practices methods and tools for analyzing and interpreting single cell gene expression data.

As the “master gland” of the endocrine system, the pituitary gland controls many key functions including growth, sexual maturation, reproduction, and lactation. A detailed characterization of pituitary cell populations and their underlying gene regulatory programs is needed to better understand cellular functions in this structurally complex tissue. We generated a single nucleus (sn) multi-omics atlas of the murine pituitary by assaying transcriptome and chromatin accessibility jointly in six individual animals, and DNA methylation in a pool of thirty male pituitaries1,2. Latent variable pathway analysis detected coordinated gene expression and chromatin accessibility programs showing both inter-sexual and inter-individual variation. Multi-omics analysis of gene regulatory networks identified cell type-specific regulons that were shaped by the promoter accessibility of their targets. We are currently extending our study to human pituitaries using joint snRNAseq and snATACseq assays to characterize human pituitary cell types and to compare human and mouse results. These nuclear multi-omics pituitary maps are a resource studying cell types in the pituitary, for identifying cell type-specific cis-regulatory elements and for understanding epigenetic control of transcriptional programs.

Learn more about single cell ATAC-seq and how it can be combined with single cell RNA-seq for deeper biological insights. Bring your questions and have them answered in a roundtable discussion with our experts.

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

Go beyond traditional gene expression analysis to characterize cell populations, cell types, cell states, and more on a cell-by-cell basis.

Learn how to design your single cell gene expression experiments, optimize experimental parameters, and identify the computational tools to best analyze your single cell gene expression data.

Explore how Chromium Connect can shorten your hands-on time while increasing your efficiency and productivity.

Using single cell RNA-sequencing and simultaneous quantification of nearly 200 cell surface proteins, we comprehensively profiled the cellular phenotypes and signaling pathways within tumor and circulating immune cells that are associated with treatment response in patients undergoing CAR T cell therapy for the treatment of GBM.

A review of vaccination, antibody discovery, and other studies conducted with single cell immune profiling.

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

Immunophenotyping by sequencing, including cell surface protein analysis, intracellular gene expression, and more.

Bring your questions about multiomic immune profiling, and have them answered in a roundtable discussion with our experts.

See how to use 10x's Cell Ranger and Loupe Browser software and engage with bioinformatics experts about how to analyze CRISPR Screening data.

TBD

We recently adapted CRISPR-based functional genetic screens to study fundamental biology of primary human T cells (Shifrut et al. Cell 2018). Coupling a targeted sgRNA library with scRNAseq readout revealed relationships between ablation of key genes and changes in transcriptional cell states. The integration of these two powerful technologies creates high resolution molecular maps of genetic programs in primary cells.

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

In this talk, Dr. Xie will discuss how Mosaic-seq enables high-throughput, multiplexed interrogation of endogenous enhancers and also present on rational reprogramming of cellular states by Reprogram-seq.

Single Cell CRISPR screens produce rich gene expression phenotype information by directly linking to each CRISPR perturbation at Single Cell resolution. In this presentation, we will provide details on how to get started with this innovative new technique.

Feature Barcode technology enables higher scale and resolution for multimodal measurements of single cells. This talk will cover examples of 1) Cell surface protein 2) CRISPR and 3) antigen specificity experiments that achieve high scale, and will highlight workflow considerations to ensure successful data when designing these types of experiments.

Single cell transcriptomics has enabled examination of the cellular makeup of the liver with impressive detail. We describe approaches to create transcriptional maps of human and animal livers as a framework to understand, model and target liver disease.

Reconstructing the circuits that control how cells adopt specific fates and engineering these circuits to reprogram cellular functions are major challenges in biology. I will introduce “Waddington-OT”, a computational framework for reconstructing lineages, trajectories, and cell-cell interactions with Single Cell genomics. I will show how we can use these approaches to decode the cellular and molecular mechanisms governing reprogramming to iPSCs and fetomaternal immune tolerance in the placenta.

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

Profiling the chromatin landscape at single cell resolution has yielded important biological discoveries. Come learn how single cell ATAC-seq has been applied to gain deeper insights into health and disease and how it can transform your research.

Learn how you can perform Targeted Gene Expression on single cells or spatial libraries. Explore our pre-designed panels, or learn how to customize them to focus on the transcripts that really matter.

Find out how the Cell Ranger ARC and Loupe Browser software tools can help you analyze and visualize your Chromium Single Cell Multiome ATAC + Gene Expression data.

Alzheimer’s disease (AD) is the leading cause of dementia, affecting more than 6 million people in the US. Differences in AD susceptibility are observed between brain regions that become affected during disease development. We hypothesize that region specific molecular and cellular responses underlie differential AD pathologic changes. To understand these mechanisms we are using 10x Genomics’ Visium technology to profile the transcriptional changes in four brain regions that develop neurofibrillary tangles at different stages of AD. Our results will provide further insight into AD susceptibility and may guide future therapeutic strategies aimed at preventing AD progression.

TBD

This is your time to connect with 10x-perts who can answer your questions, fellow attendees, visit the 10x Genomics Interactive Hub. explore the Poster Gallery, visit the Feedback page to add your opinions and visit the 10x Compatible Partner Exhibits. And don't forget the Software Spotlight at 11am!

Join us at the 10x Genomics Interactive Hub to watch the demo.

Explore advanced spatial analysis with gene expression data from a Triple Negative Breast Cancer sample. Learn how to use the Visium data analysis pipelines and visualization software to review correlations between pathologist annotations and cell clustering profiles identified through the Visium Spatial Gene Expression Solution.

Get staged for success with Visium Spatial Gene Expression Solutions. Join us to learn how to combine your current methods and reagents for immunofluorescent protein detection with whole transcriptome analysis for new insights on your tissues of interest.

Engage with bioinformatics experts to learn how to integrate and analyze single cell and spatial gene expression data using 10x software and open source tools.