Welcome to 10x University

Professor Zheng Zhang, PhD, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen Third People’s Hospital

May 28, 2020

Visium: Slide Reset and Immunofluorescence Implementation

Cedric Uytingco, PhD, Scientist II, 10x Genomics

May 28, 2020

[10x APAC EUGM] Introducing Targeted Gene Expression: Focus on the Genes That Matter Most

Katie Pfeiffer, PhD, Staff Scientist, 10x Genomics

May 28, 2020

Live Webinar – Accelerated Drug Discovery and Development

Stephen Hague, PhD, Scientific Technology Advisor, 10x Genomics
Erik Stensrud, Strategic Account Manager, 10x Genomics

May 26, 2020

Introducing Targeted Gene Expression: Focus on the Genes That Matter Most

Dina Finan, PhD, Product Manager, 10x Genomics
Katie Pfeiffer, PhD, Staff Scientist, 10x Genomics

May 20, 2020

High Throughput, Rapid Antibody Discovery and Validation Using 10x Genomics’ Single Cell Immune Profiling Solution

Leo Chan, PhD, Science & Technology Advisor, APAC Lead, 10x Genomics

May 20, 2020

Using Single-Cell Multiomics to Reveal New Insights into Uveal Melanoma Evolution and Therapeutic Resistance

J. William Harbour, MD, Professor & Vice Chairman, University of Miami Miller School of Medicine
Michael Durante, MD/PhD Candidate, University of Miami Miller School of Medicine

May 19, 2020

GenomeWebinars

Innovation Lab: Single Cell Immune Profiling for Vaccine Research and Antibody Discovery

Nirav Patel, MS, Science & Technology Advisor, 10x Genomics
Wyatt McDonnell, PhD, Computational Immunologist, 10x Genomics
Brian Fritz, PhD, Associate Director, Strategic Market & Programs, 10x Genomics

May 15, 2020

Immunology Data Analysis with the 10x-perts

Vartika Agrawal, Product Marketing Manager, Informatics, 10x Genomics

May 14, 2020

Why You Should Do a Single Cell RNA-Seq Experiment?

Christophe Fleury, Science and Technology Advisor, 10x Genomics
Brenda Szymkiewicz, Inside Sales Specialist, 10x Genomics
Guido Van de Worp, Sales Executive, 10x Genomics

May 14, 2020

Sample Prep – An Optimized Workflow for Single-Cell Transcriptomics and Repertoire Profiling of Purified Lymphocytes from Clinical Samples

Richa Hanamsagar, PhD, Senior Scientist, Sanofi
Victoria Reid, Director of Market Development, 10x Genomics

May 13, 2020

American Pharmaceutical Review

La Révolution Multi-omique En Immunologie: Transcriptome, Répertoire Immunitaire, Protéines De Surface à L’échelle De La Cellule Unique

Christophe Fleury, PhD, Science and Technology Advisor, 10x Genomics
Maanan Albahri, Territory Account Manager, Illumina
Pierre Milpied, CRCN Inserm, Chef d’équipe « Immunologie Intégrative des Lymphocytes B »

May 13, 2020

Origins of Diversity in Human Antibody Repertoires

Felix Horns, PhD, Postdoctoral Fellow, Laboratory of Michael Elowitz, California Institute of Technology

May 13, 2020

Sample Preparation for Single Cell Immunology Studies: Tips and Tricks

Rea Dabelic, PhD, Senior Field Application Scientist, 10x Genomics

May 12, 2020

Enabling the Immunology Workflow: Integration of Compatible Products for Sample Prep and Multiomics

Jana Soyka, PhD, Miltenyi Biotec
Miguel Tam, PhD, BioLegend
Stephen T. Haley, PhD, Immudex

May 12, 2020

A Single Cell Atlas of Human Thymus Across Development and Aging Defines Dynamics of T Cell Development

Jongeun Park, PhD, Postdoctoral Fellow, Laboratory of Sarah Teichmann, Wellcome Sanger Institute

May 11, 2020

Charting the Map of Neuronal Fate Specification Using Single Cell Transcriptomics and Epigenomics

Dr. Tomasz Nowakowski, Assistant Professor, University of California, San Francisco
Dr. Laura DeMare, Product Manager, 10x Genomics

May 06, 2020

Biocompare

Revolutionizing Antibody Discovery for Pharma with Single Cell Approaches and LIBRA-seq

Wyatt McDonnell, PhD, Computational Immunologist, 10x Genomics

May 06, 2020

Sample Prep: Tissue Dissociation Guidance for 10x Genomics Single Cell Analysis

Albert Kim, Scientist II, 10x Genomics
Olaf Hardt, R&D Manager, Miltenyi Biotec

May 01, 2020

Peripheral T Cell Expansion Predicts Tumour Infiltration and Clinical Response

Thomas Wu, MD PhD, Principal Scientist, Bioinformatics & Computational Biology, Genentech

April 30, 2020

Whole-Transcriptome Spatial Mapping of the Healthy and Infarcted Human Heart

Christoph Kuppe, MD, Physician Scientist, University Clinic of the RWTH Aachen
Jovan Tanevski, PhD, Postdoctoral Researcher, Institute for Computational Biomedicine; Heidelberg University Hospital
Rafael Kramann, MD, PhD, Professor of Medicine and Chair of Nephro-Cardiology, RWTH Aachen University

April 30, 2020

GenomeWebinars

Increased Intratumoral Heterogeneity After the Onset of Therapy Resistance in Small-cell Lung Cancer

Allison Stewart, PhD, Staff Scientist, Byers Lab, Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center
Carl Gay, MD PhD, Assistant Professor, Byers Lab, Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center

April 29, 2020

Visium Spatial Gene Expression Solution – Webinar Series Part 3

Vitalii Kleshchevnikov, Wellcome Sanger Institute, University of Cambridge
Bashir Sadet, Field Application Scientist, 10x Genomics

April 29, 2020

Redefine Immunology with Multiomics Single Cell and Spatial Characterization

Leo Chan, PhD, Staff Field Application Scientist, 10x Genomics

April 29, 2020

Single Cell Genomics in Checkpoint Blockade and CAR-T Cell Immunotherapy

Ansuman Satpathy, MD PhD, Assistant Professor of Pathology, Stanford University

April 28, 2020

Visium Spatial Gene Expression Solution – Webinar Series Part 2

Adam Jerauld, Field Application Scientist, 10x Genomics

April 28, 2020

Understanding the Single Cell Expression and Cell Type Diversity Landscape in OSCC

Sillarine Kurkalang, PhD, DBT Research Associate, National Institute of Biomedical Genomics, India

April 28, 2020

Single Cell and Spatial Transcriptomic Methods to Understand Cancer

Leo Chan, PhD, Science & Technology Advisor, 10x Genomics

April 28, 2020

Exploring Biological Systems at Single-cell Resolution with Illumina Sequencing

Lei Tong, PhD, Senior Regional Segment Manager, Cellular & Molecular Biology, Illumina

April 28, 2020

An Integrated Single Cell and Spatial Atlas of Localised Breast Cancer

Alex Swarbrick, PhD, Associate Professor, UNSW Sydney

April 27, 2020

Single Cell and Spatial Transcriptomic Methods to Understand Cancer (Spanish)

Adriana Suarez, PhD, Science & Technology Advisor, 10x Genomics

April 22, 2020

Multiomics Approaches for Drug Discovery and Development

Leo Chan, PhD, Science & Technology Advisor, 10x Genomics

April 21, 2020

Biology at True Resolution: Resolve Biological Complexities with Single Cell and Spatial Gene Expression Solutions (Spanish)

Adriana Suarez, PhD, Science & Technology Advisor, 10x Genomics

April 20, 2020

Understanding COVID-19: Crucial Applications of Single Cell Gene Expression and Immune Profiling for Infectious Disease (Spanish)

Adriana Suarez, PhD, Science & Technology Advisor, 10x Genomics

April 15, 2020

Immune Cell and Repertoire Profiling at Single Cell Resolution for Infectious Disease Research

Leo Chan, PhD, Staff Field Application Scientist, 10x Genomics

April 08, 2020

Crucial Applications of Single Cell Gene Expression and Immune Profiling in Infectious Disease Research

Brian Fritz, PhD, 10x Genomics

April 07, 2020

LabTools: The Scientist Webinar Series

Infectious Disease 연구에 Chromium Single Cell Solution을 활용한 사례[다온비에스]

Chloe Jung, FAS, DAON BioSciences

April 02, 2020

Transcriptome-Scale Spatial Gene Expression in the Human Dorsolaterial Prefrontal Cortex

Courtney Anderson, PhD, Senior Product Marketing Manager, Spatial Solutions, 10x Genomics
Kristen Maynard, PhD, Research Scientist, Lieber Institute of Brain Development
Leonardo Collado-Torres, PhD, Research Scientist, Lieber Institute of Brain Development

April 01, 2020

Explore Biology Like Never Before: Chromium Single Cell Solutions

Jens Durruthy Durruthy, PhD, Associate Product Manager, 10x Genomics
Laura DeMare, PhD, Product Manager, Single Cell, 10x Genomics

March 19, 2020

Visium Spatial Gene Expression Solution: Welcome & Getting Started

Sean Tan, PhD, Senior Field Application Scientist, South APAC, 10x Genomics

March 13, 2020

AGBT 2020: Ultra High-Throughput Single Cell

Sarah Taylor, Staff Scientist, 10x Genomics

February 24, 2020

AGBT 2020: 10x Genomics Cloud Software

Alex Wong, SVP Product, Software & Infrastructure

February 24, 2020

AGBT 2020: Targeted Gene Expression

Sarah Taylor, Staff Scientist, 10x Genomics

February 24, 2020

AGBT 2020: Intracellular Protein Detection

Sarah Taylor, Staff Scientist, 10x Genomics

February 24, 2020

AGBT 2020: Single Cell ATAC + Gene Expression

Kamila Belhocine, Staff Scientist, 10x Genomics

February 24, 2020

AGBT 2020: Cell Multiplexing

Sarah Taylor, Staff Scientist, 10x Genomics

February 24, 2020

AGBT 2020: Visium Spatial Solutions

Nikhil Rao, Director, Strategic Marketing, 10x Genomics

February 24, 2020

Immune Cell and Repertoire Profiling at Single Cell

Leo Chan, PhD, Staff Field Application Scientist

February 14, 2020

An Automated Solution for Single-Cell Gene Expression Workflows

Darisha Jhutty, 10x Genomics
John Chevillet, PhD, Staff Scientist, 10x Genomics

January 22, 2020

High-Throughput B Cell Screening for Immune Profiling and Antibody Discovery in HIV

Ian Setliff, laboratory of Ivelin Georgiev, Vanderbilt University

December 26, 2019

An Automated Solution for Single-Cell Gene Expression Workflows

Darisha Jhutty, Associate Product Manager, 10x Genomics
John Chevillet, PhD, Staff Scientist, 10x Genomics

December 03, 2019

Envision New Dimensions: Getting Started with the Visium Spatial Gene Expression Solution

Aigu Lin, Regional Marketing Manager, South APAC, 10x Genomics

November 20, 2019

Visium Spatial Gene Expression Data Analysis

Mike Campbell, 10x Genomics

November 19, 2019

Antibody Discovery and Immune Profiling Using High-Throughput Single B Cell Sequencing

Ian Setliff, PhD, Candidate, Vanderbilt University

November 14, 2019

Leveraging Single Cell Copy Number to Resolve Tumor Clonality

Dr. David W. Craig, Professor of Translational Genomics; Co-Director, Institute of Translational Genomics Keck School of Medicine of USC

November 12, 2019

A Novel Approach for Single Cell Multi-omic Analysis to Identify Regulatory Signatures in Cancer

Dr. William Greenleaf, Associate Professor, Stanford University

October 30, 2019

Getting Started with the Visium Spatial Gene Expression Solution

Solongo Ziraldo, 10x Genomics
Cedric Uytingco, 10x Genomics
Jennifer Chew, 10x Genomics

October 29, 2019

Single-Cell Genomics in Cancer Immunotherapy

Ansu Satpathy, MD, PhD, Stanford University School of Medicine

October 16, 2019

Resolving Molecular Heterogeneity Through Spatial Transcriptomics

David Craig, PhD, USC Institute of Translational Genomics

October 16, 2019

CHISELing out Allele- and Haplotype-specific Copy Numbers in Single Cells

Ben Raphael, PhD, Professor of Computer Science, Princeton University

October 15, 2019

Integration of Single Cell and Spatially Resolved Methods for Understanding Neurodegeneration in ALS

Silas Maniatis, PhD, Center for Genomics of Neurodegenerative Disease, New York Genome Center

October 07, 2019

Introducing the Visium Spatial Gene Expression Solution

Nikhil Rao, PhD, 10x Genomics
Zachary Bent, PhD, 10x Genomics

September 18, 2019

Visualizing and Exploring Single Cell Gene Expression Data

Juan Du, PhD, Software Field Operations Engineer, 10x Genomics

August 30, 2019

Sample Preparation for Single Cell Analysis: Tips and Tricks (APAC Session)

Jill Herschleb, PhD, Director, Sample Preparation, 10x Genomics

August 29, 2019

Sample Preparation for Single Cell Analysis: Tips and Tricks

Jill Herschleb, PhD, Director, Sample Preparation, 10x Genomics

August 14, 2019

Uncover True Genomic Heterogeneity: Getting Started with Single Cell DNA Sequencing

Karthik Ganapathy, Product Manager, Single Cell Genomics, 10x Genomics

July 30, 2019

Integration of Multiple Types of Single-Cell Data With Seurat V3

Rahul Satija, PhD, Core Faculty Member, New York Genome Center & Assistant Professor, NYU Center for Genomics and Systems Biology

July 17, 2019

Spanish Webinar – Biology at True Resolution

Luca Mazzitelli, 10x Genomics
Pernille Albertus, Illumina
Roser Vento-Tormo, Wellcome Sanger Institute

July 16, 2019

A Guide to Successfully Run Your Single Cell Immune Profiling Experiment with 10x Genomics

Giovanna Prout, Senior Director, Product Marketing 10x Genomics

June 27, 2019

Uncover True Genomic Heterogeneity: Getting Started with Single Cell Genomes

Kamila Belhocine, 10x Genomics

June 13, 2019

Getting Started with Single Cell ATAC Sequencing for High Resolution Epigenomic Studies

Laura DeMare, Ph.D., Associate Product Manager, Epigenomics, 10x Genomics

April 23, 2019

Explore Gene Expression in the Context of the Tissue Microenvironment

Tarjei Mikkelsen

March 25, 2019

Toward a More Complete Understanding of the Immune System

Mike Stubbington

March 21, 2019

Dissecting Complex Systems with Multidimensional Data

Sarah Garcia, 10x Genomics, Inc.

March 21, 2019

Getting Started with Single Cell Gene Expression: A Guide to Successfully Run Your Single Cell Gene Expression Experiment with 10x Genomics

Jens Durruthy Durruthy, Ph.D., Product Manager, Single Cell 10x Genomics

March 05, 2019

Generating High-quality Genome Drafts from Uncultured Microbiome Samples with a Single Shotgun Experiment

Ami Bhatt, MD, PhD, Stanford University

February 13, 2019

Discover How Single-cell RNA Sequencing Provides Deeper Insights into Lung Cancer Biology

Bernard Thienpont, KU Leuven | 10x Genomics | Illumina
Annika Branting
Pawel Zajac

November 28, 2018

LabRoots Webinar

Single-Cell Reconstruction of the Human Early Maternal-Fetal Interface

Annika Branting, 10x Genomics | Wellcome Sanger Institute
Roser Vento-Tormo
Mirjana Efremova

November 06, 2018

Biology at True Resolution – Enabling a Comprehensive View of Genomics

Giovanna Prout, 10x Genomics

October 17, 2018

ASHG 2018

Constructing the Human Immune Census

Jimmie Ye, University of California San Francisco

October 17, 2018

ASHG 2018

A Multiplexed Association Framework Applied to Tie Enhancers to Their Target Genes Via Cellular Genetic Screens

Molly Gasperini, University of Washington

October 17, 2018

ASHG 2018

Personal Regulome Navigation Using Single Cell ATAC-Seq

Anjana Narayanan, 10x Genomics & Stanford Univ.
Howard Chang, 10x Genomics & Stanford Univ.
Grace Zheng, 10x Genomics & Stanford Univ.

October 03, 2018

Summer Webinar Series – Single Cell Mouse Immune Profiling

Giovanna Prout, 10x Genomics
Josephine Lee, 10x Genomics

July 26, 2018

Single Cell Summer Webinar Series

Interrogating Chromatin Accessibility and Regulatory Landscape at Single-Cell Resolution

Anjana Narayanan, 10x Genomics
Grace Zheng, 10x Genomics

July 19, 2018

Summer Webinar Series – Single Cell CNV

Anushka Brownley, 10x Genomics
Shamoni Maheshwari, 10x Genomics

July 12, 2018

Single Cell Summer Webinar Series

Highly Multiplexed Transcriptome and Protein Immune Profiling in Single Cells with CITE-seq

Peter Smibert, Ph.D., Manager, Technology Innovation

May 23, 2018

New York Genome Center

Tumor Heterogeneity in Cancer Genome Science and Precision Oncology

John Carpten, USC

May 21, 2018

AACR

Single Cell RNA Sequencing Unveils Mechanisms of Response and Resistance to Immunotherapy

Aude Chapuis, Fred Hutchinson Cancer Research Center

May 21, 2018

AACR

Revealing the True Biology of Cancer

Anushka Brownley, 10x Genomics

May 21, 2018

AACR

Methods for Sample Preparation and Single Cell Analysis of Solid Tumors

JIll Herschleb, 10x Genomics

May 21, 2018

AACR

What’s Next from 10x Genomics – AGBT 2018

Michael Schnall-Levin, 10x Genomics

March 08, 2018

Single Cell RNA Sequencing Unveils Mechanisms of Response and Resistance to T-Cell Immunotherapy

Aude Chapuis, Fred Hutchinson Cancer Research Center

February 13, 2018

AGBT

Automation Compatible Linked-Read Analysis of Dried Blood Spots

Madhuri Hegde, Ph.D., PerkinElmer

December 07, 2017

ASHG 2017 Orlando, FL

Interrogating the Human Adaptive Immune Response with High-throughput Precision Immunology

James Crowe, Vanderbilt Vaccine Center

November 21, 2017

Nature Webinar

Population Scale Genome Study of the Faroese Population Using Linked-Reads

Noomi Oddmarsdóttir Gregersen, FarGen Project

November 01, 2017

Nature Webinar

Harnessing the Therapeutic Potential of Adoptively Transferred Cells

Aude Chapuis, Fred Hutchinson Cancer Research Center

June 22, 2017

Nature Webcast

Perturb-seq: High Throughput CRISPR Screening Via Single-Cell RNA Sequencing

Dr. Jonathan Weissman, University of California, San Francisco and Howard Hughes Medical Institute

May 10, 2017

Nature Webinar

Perturb-seq: Single-cell CRISPRi Screens Interrogate the Unfolded Protein Response

Britt Adamson, University of California, San Francisco

March 21, 2017

User Group Meeting – San Francisco, CA

Genome Assembly of the Mind-controlling Fly Pathogen E. Muscae Via 10x Genomics

Carolyn Elya, University of California, Berkeley

March 21, 2017

User Group Meeting – San Francisco, CA

Genome-wide Reconstruction of Complex Structural Variants

Noah Spies, Stanford University

March 21, 2017

User Group Meeting – San Francisco, CA

de Novo Assembly of a Large Size Genome: the Olive Fruit Fly

Jiannis Ragoussis, McGill University

February 14, 2017

AGBT Annual Meeting – Hollywood, FL

Addressing Difficult Biology: 10x and OneSeq Phased Exome

David Craig, Translational Genomics Research Institute

February 13, 2017

AGBT Annual Meeting – Hollywood, FL

Universal Approach for Noninvasive Prenatal Testing of Single Gene Diseases

Winnie Hui, The Chinese University of Hong Kong

February 13, 2017

AGBT Annual Meeting – Hollywood, FL

Deciphering Complex Structural Variation Using Linked-Reads

Jill Herschleb, 10x Genomics, Inc.

January 14, 2017

Plant & Animal Genome – San Diego, CA

Linked-Reads for Improved Genomics

Sarah Garcia, 10x Genomics, Inc.

November 11, 2016

AMP Annual Meeting – Charlotte, NC

Quantitative Profiling of Large and Complex Single Cell Populations

Grace Zheng, 10x Genomics, Inc.

October 22, 2016

ASHG Annual Meeting – Vancouver, BC

Chromium Single Cell Solutions

Tarjei Mikkelsen, 10x Genomics, Inc.

October 21, 2016

ASHG Annual Meeting – Vancouver, BC

Exploring 50 Whole Genomes with Chromium Linked-Reads

Chris Whelan, Broad Institute

October 21, 2016

ASHG Annual Meeting – Vancouver, BC

Resolving Short Reads and Distinguishing Variants in PMS2

Charlly Kao, Children’s Hospital of Philadelphia

October 21, 2016

ASHG Annual Meeting – Vancouver, BC

Defining the Immune System at Single Cell Resolution with Seurat

Rahul Satija, NYU Center for Genomics and Systems Biology

October 05, 2016

Nature Webcast

Massively-parallel Single Cell Analysis with the Chromium System

Tarjei Mikkelsen, 10x Genomics, Inc.

September 21, 2016

Pleasanton, CA

Everyday de Novo Assembly with the Supernova Assembler

David Jaffe, 10x Genomics, Inc.

September 10, 2016

Pleasanton, CA

Improving Genome Analysis with Linked-Reads

Deanna Church, 10x Genomics, Inc.

August 15, 2016

Pleasanton, CA

Resolving the “dark Matter” of the Exome

Hakon Hakonarson, Children’s Hospital of Philadelphia

June 03, 2016

Nature Webcast

Analyzing Immune Cell Communities on a Massive Scale with Single-cell RNA-Seq

Cole Trapnell, University of Washington

April 22, 2016

Nature Webcast

How-to Videos

Single Cell Gene Expression – Chapter 7 – Transfer GEMs

Single Cell Gene Expression – Chapter 8 – Break GEMs with Recovery Agent

Single Cell Gene Expression – Chapter 9 – Post GEM-RT Cleanup – Dynabeads

Single Cell Gene Expression – Chapter 10 – cDNA Amplification

Single Cell Gene Expression – Chapter 11 – cDNA Cleanup – SPRI Select

Single Cell ATAC – Chapter 1 – Getting Started

Single Cell ATAC – Chapter 2 – Prepare Transposition Mix and Isothermal Incubation

Single Cell ATAC – Chapter 3 – Prepare Barcoding Master Mix and Assemble the Chip

Single Cell ATAC – Chapter 4 – Load Chromium Next GEM Chip H

Single Cell ATAC – Chapter 5 – Run the Chromium Controller

Single Cell ATAC – Chapter 6 – Transfer GEMs

Single Cell ATAC – Chapter 7 – Break GEMs with Recovery Agent

Single Cell CNV – Chapter 1 – Getting Started

Single Cell CNV – Chapter 2 – Cell Bead Generation: Assembling Chromium Chip C

Single Cell CNV – Chapter 3 – Cell Bead Generation: Combining Cell Matrix, Reagents and Cells

Single Cell CNV – Chapter 4 – Cell Bead Generation: Loading Reagents Into Chip C

Single Cell CNV – Chapter 5 – Cell Bead Generation: Transfer Cell Beads

Single Cell CNV – Chapter 6 – Cell Bead Processing: Solvent Exchange

Single Cell CNV – Chapter 7 – Cell Bead Processing: Lysis

Single Cell CNV – Chapter 8 – Cell Bead Processing: Filtration

Single Cell CNV – Chapter 9 – GEM Generation & Barcoding: Prepare Reaction Mix

Single Cell CNV – Chapter 10 – GEM Generation and Barcoding: Load Chromium Chip D

Single Cell CNV – Chapter 11 – GEM Generation and Barcoding: Transfer GEMs and GEM Isothermal Incubation

Single Cell CNV – Chapter 12 – Post GEM Incubation Cleanup and QC: Breaking the GEMs with Recovery Agent

Genome Sequencing – Chapter 1 – Getting Started

Genome Sequencing – Chapter 2 – Preparing Sample Master Mix

Genome Sequencing – Chapter 3 – Denaturing DNA

Genome Sequencing – Chapter 4 – Assembling the Chip

Genome Sequencing – Chapter 5 – Loading Reagents into the Chip

Genome Sequencing – Chapter 6 – Running the Chromium Controller

Genome Sequencing – Chapter 7 – Transferring GEMs

Genome Sequencing – Chapter 8 – Breaking GEMs with Recovery Agent

Single Cell Immune Profiling – Chapter 1 – Getting Started

Single Cell Immune Profiling – Chapter 2 – Prepare Reaction Mix

Single Cell Immune Profiling – Chapter 3 – Assemble Chromium Next GEM Chip G

Single Cell Immune Profiling – Chapter 4 – Combining Master Mix, Water, and Cells

Single Cell Immune Profiling – Chapter 5 – Loading Chromium Next GEM Chip G

Single Cell Immune Profiling – Chapter 6 – Run the Chromium Controller

Single Cell Immune Profiling – Chapter 9 – Post GEM-RT Cleanup – Dynabeads

Single Cell Immune Profiling – Chapter 8 – Breaking GEMs with Recovery Agent

Single Cell Immune Profiling – Chapter 7 – Transferring GEMs

Single Cell Immune Profiling – Chapter 10 – cDNA Amplification

Single Cell Immune Profiling – Chapter 11 – cDNA Cleanup – SPRI Select

Single Cell Gene Expression – Chapter 1 – Getting Started

Single Cell Gene Expression – Chapter 2 – Prepare Master Mix

Single Cell Gene Expression – Chapter 3 – Assemble Chromium Next GEM Chip G

Single Cell Gene Expression – Chapter 4 – Combining Master Mix, Water, and Cells

Single Cell Gene Expression – Chapter 5 – Loading Chromium Next GEM Chip G

Single Cell Gene Expression – Chapter 6 – Run the Chromium Controller

Software Demos

Single Cell Gene Expression – Chapter 1 – Downloading Software and Datasets

Single Cell Gene Expression – Chapter 2 – Basic Orientation

Single Cell Gene Expression – Chapter 3 – Toolbar

Single Cell Gene Expression – Chapter 4 – Clustering Cells in Categories Mode

Single Cell Gene Expression – Chapter 5 – Creating Custom Categories

Single Cell Gene Expression – Chapter 6 – Clustering Cells in Gene Expression Mode

Single Cell Gene Expression – Chapter 7 – Importing Gene Lists

Single Cell Gene Expression – Chapter 8 – Split View Tool

Single Cell Gene Expression – Chapter 9 – Significant Genes Tool

Single Cell Immune Profiling – Chapter 1 – Basic Orientation

Single Cell Immune Profiling – Chapter 2 – Toolbar

Single Cell Immune Profiling – Chapter 3 – Clustering Cells in Categories Mode

Single Cell Immune Profiling – Chapter 4 – Creating Custom Categories

Single Cell Immune Profiling – Chapter 5 – Clustering Cells in Gene Expression Mode

Single Cell Immune Profiling – Chapter 6 – Importing Gene Lists

Single Cell Immune Profiling – Chapter 7 – Split View Tool

Single Cell Immune Profiling – Chapter 8 – Significant Genes Tool

Single Cell Immune Profiling – Chapter 9 – Importing V(D)J Clonotypes

Single Cell Immune Profiling – Chapter 10 – Associating V(D)J Clonotypes with Phenotypes

Single Cell Immune Profiling – Chapter 11 – Creating Clusters from Clonotypes

Training Modules

Genome Sequencing – Chapter 1 – Genome Analysis with Linked-Reads

Genome Sequencing – Chapter 2 – GemCode Technology and Linked-Reads

Genome Sequencing – Chapter 3 – Biochemistry Behind the Genome Assay

Genome Sequencing – Chapter 4 – Generating Linked-Reads

Genome Sequencing – Chapter 5 – Sample Preparation

Genome Sequencing – Chapter 6 – GEM Generation and Barcoding

Genome Sequencing – Chapter 7 – Post-GEM Incubation Cleanup and QC

Genome Sequencing – Chapter 8 – Library Construction and Sequencing Libraries

Genome Sequencing – Chapter 9 – Long Ranger: Overview

Genome Sequencing – Chapter 10 – Long Ranger WGS

Genome Sequencing – Chapter 11 – Long Ranger: Output Files and Reference Support

Genome Sequencing – Chapter 12 – Loupe Genome Browser

Single Cell Immune Profiling – Chapter 1 – Single Cell 5′ Gene Expression and V(D)J Profiling

Single Cell Immune Profiling – Chapter 2 – 10x Technology and the Single Cell V(D)J Solution

Single Cell Immune Profiling – Chapter 3 – Biochemistry Behind the Single Cell V(D)J Assay

Single Cell Immune Profiling – Chapter 4 – Sample Preparation

Single Cell Immune Profiling – Chapter 5 – GEM Generation, Barcoding and Cleanup

Single Cell Immune Profiling – Chapter 6 – 5′ Gene Expression cDNA Amplification and Library Prep

Single Cell Immune Profiling – Chapter 7 – Target Enrichment and V(D)J Library Prep

Single Cell Immune Profiling – Chapter 8 – Sequencing 5′ Gene Expression and V(D)J Libraries

Single Cell Gene Expression – Chapter 1 – Introduction and Getting Started

Single Cell Gene Expression – Chapter 2 – Biochemistry and Assay Scheme

Single Cell Gene Expression – Chapter 3 – Workflow Optimization

Single Cell Gene Expression – Chapter 4 – Workflow Sequencing

Spatial Gene Expression Profiling – Chapter 1 – Overview of Spatial Transcriptomics

Spatial Gene Expression Profiling – Chapter 2 – Introduction and Getting Started

Spatial Gene Expression Profiling – Chapter 3 – Tissue Optimization Workflow

Spatial Gene Expression Profiling – Chapter 4 – Biochemistry & Sequencing

Spatial Gene Expression Profiling – Chapter 5 – Imaging Requirements & Recommendations

Spatial Gene Expression Profiling – Chapter 6 – Sample Preparation

10x-Pert Webinars

10x-pert Workshop: A New Way of Exploring Immunity

10x-perts:
Mike Stubbington, Staff Computational Biologist
Alvaro Martinez Barrio, Staff Computational Biologist
Dagmar Walter, Scientist II

July 10, 2019

10x-pert Workshop: Towards High Resolution Epigenomics – Analyzing and Visualizing Single Cell ATAC-seq Data

10x-perts:
Michael Campbell
Hank Tu
Zuly Peralta

June 20, 2019

10x-pert Workshop: Redefining Immune Cell Phenotyping & Characterization

10x-perts:
Sarah Taylor
Daniel Riorden
Dagmar Walter

May 29, 2019 | 9am PT and May 30, 2019| 10am SGT

10x-pert Webinar: Nuclei Isolation for Single Cell ATAC Sequencing

10x-perts:
Francesca Meschi
Corey Nemec
Alaina Puleo
Jean Wang

March 13, 2019 | 9am PT and March 14, 2019 | 10am SGT

10x-pert Workshop: Tumor Dissociation for Single Cell RNA-seq

10x-perts:
Jill Herschleb
Sharmila Chatterjee

June 05, 2018

10x-pert Workshop: Characterization of the Tumor Microenvironment with the Chromium Single Cell Immune Profiling Solution

10x-perts:
Stephane Boutet
Sarah Taylor

March 20, 2018

10x-pert Workshop: de Novo Assembly with Linked-Reads and Supernova 2.0

10x-perts:
Nikka Keivanfar
David Jaffe

January 30, 2018

10x-pert Workshop: How-to: Single-Nuclei RNA-seq

10x-perts:
Sharmila Chatterjee
Paul Ryvkin

November 28, 2017

10x-pert Workshop: Single Cell Immune Repertoire Profiling- T Cell V(D)J Typing

10x-perts:
Kevin Wu, 10x Genomics
Patrick Marks, 10x Genomics

September 21, 2017

Pleasanton, CA

10x-pert Workshop: Single Cell RNA-seq Data Analysis and Visualization

10x-perts:
Paul Ryvkin
Jeff Mellen

September 15, 2017

Pleasanton, CA

10x-pert Workshop: Structural Variant and Haplotype Analysis with Linked-Read Data

10x-perts:
Sarah Garcia, 10x Genomics
David Stafford, 10x Genomics

September 05, 2017

Pleasanton, CA

10x-pert Workshop: HMW DNA Sample Preparation Techniques and Best Practices

10x-pert:
Jill Herschleb

August 31, 2017

Pleasanton, CA

10x-pert Workshop: Single Cell Sample Preparation Techniques and Best Practices

10x-perts:
Jessica Terry
Jill Herschleb

August 29, 2017

Pleasanton, CA

Datasets

Single Cell CNV Datasets

Melanoma COLO829 Cell Line Dataset (Velazquez-Villarreal et al., 2019)

Cell Ranger DNA 1.0.0

COLO829 G1 sorted 1475 cells

MKN-45 Dataset Downsampled to Various Sequencing Depths

Cell Ranger DNA 1.1.0

5k MKN-45 Gastric Cancer Cell Line (50K Read Pairs Per Cell)

5k MKN-45 Gastric Cancer Cell Line (100K Read Pairs Per Cell)

5k MKN-45 Gastric Cancer Cell Line (150K Read Pairs Per Cell)

5k MKN-45 Gastric Cancer Cell Line (300K Read Pairs Per Cell)

5k MKN-45 Gastric Cancer Cell Line (500K Read Pairs Per Cell)

5k MKN-45 Gastric Cancer Cell Line (750K Read Pairs Per Cell)

Breast Tumor Tissue Dataset

Cell Ranger DNA 1.1.0

Breast Tissue nuclei section A 2000 cells

Breast Tissue nuclei section B 2000 cells

Breast Tissue nuclei section C 2000 cells

Breast Tissue nuclei section D 2000 cells

Breast Tissue nuclei section E 2000 cells

Aggregate of Breast Tissue Nuclei Sections 10K Cells

Cell Ranger DNA 1.0.0

Breast Tissue nuclei section D 2000 cells

Breast Tissue nuclei section B 2000 cells

Breast Tissue nuclei section C 2000 cells

Breast Tissue nuclei section A 2000 cells

Breast Tissue nuclei section E 2000 cells

Single Cell DNA Demonstration

Cell Ranger DNA 1.1.0

1k BJ with 1% MKN-45 Spike-In

BJ with 10% MKN-45 Spike-In

1k Nuclei from BJ Fibroblast Euploid Cell Line

5k MKN-45 Gastric Cancer Cell Line

1k Cells from BJ Fibroblast Euploid Cell Line

Cell Ranger DNA 1.0.0

1k BJ with 1% MKN-45 Spike-In

BJ with 10% MKN-45 Spike-In

1k Nuclei from BJ Fibroblast Euploid Cell Line

5k MKN-45 Gastric Cancer Cell Line

1k Cells from BJ Fibroblast Euploid Cell Line

Single Cell Gene Expression Datasets

Targeted Demonstration (v3.1 Chemistry)

Cell Ranger 4.0.0

PBMCs from a Healthy Donor: Whole Transcriptome Analysis

PBMCs from a Healthy Donor: Targeted, Immunology Panel

PBMCs from a Healthy Donor: Targeted-Compare, Immunology Panel

Hodgkin’s Lymphoma, Dissociated Tumor: Whole Transcriptome Analysis

Hodgkin’s Lymphoma, Dissociated Tumor: Targeted, Gene Signature Panel

Hodgkin’s Lymphoma, Dissociated Tumor: Targeted-Compare, Gene Signature Panel

Hodgkin’s Lymphoma, Dissociated Tumor: Targeted, Immunology Panel

Hodgkin’s Lymphoma, Dissociated Tumor: Targeted-Compare, Immunology Panel

Hodgkin’s Lymphoma, Dissociated Tumor: Targeted, Pan-Cancer Panel

Hodgkin’s Lymphoma, Dissociated Tumor: Targeted-Compare, Pan-Cancer Panel

Single vs Dual Indexing Demonstration (v3.1 Chemistry)

Cell Ranger 4.0.0

10k Peripheral blood mononuclear cells (PBMCs) from a healthy donor, Single Indexed

10k Peripheral blood mononuclear cells (PBMCs) from a healthy donor, Dual Indexed

1k 1:1 Mixture of Human HEK293T and Mouse NIH3T3 Cells, Single Indexed

1k 1:1 Mixture of Human HEK293T and Mouse NIH3T3 Cells, Dual Indexed

10k 1:1 Mixture of Human HEK293T and Mouse NIH3T3 Cells, Single Indexed

10k 1:1 Mixture of Human HEK293T and Mouse NIH3T3 Cells, Dual Indexed

10k Mouse E18 Combined Cortex, Hippocampus and Subventricular Zone Cells, Single Indexed

10k Mouse E18 Combined Cortex, Hippocampus and Subventricular Zone Cells, Dual Indexed

1k Human PBMCs Stained with a Panel of TotalSeq B Antibodies, Single Indexed

1k Human PBMCs Stained with a Panel of TotalSeq B Antibodies, Dual Indexed

10k A375 Cells Transduced with (1) Non-Target and (1) Target sgRNA, Single Indexed

10k A375 Cells Transduced with (1) Non-Target and (1) Target sgRNA, Dual Indexed

Chromium Connect Demonstration (v3.1 Chemistry)

Cell Ranger 3.1.0

Peripheral blood mononuclear cells (PBMCs) from a healthy donor – Chromium Connect (channel 1)

Peripheral blood mononuclear cells (PBMCs) from a healthy donor – Manual (channel 1)

Peripheral blood mononuclear cells (PBMCs) from a healthy donor – Chromium Connect (channel 5)

Peripheral blood mononuclear cells (PBMCs) from a healthy donor – Manual (channel 5)

Aggregate of 8 Chromium Connect channels and 8 manual channels

Chromium Next GEM Demonstration (v3.1 Chemistry)

Cell Ranger 3.1.0

5k Peripheral blood mononuclear cells (PBMCs) from a healthy donor with cell surface proteins (v3 chemistry)

5k Peripheral blood mononuclear cells (PBMCs) from a healthy donor with cell surface proteins (Next GEM)

Cell Ranger 3.0.2

5k Peripheral blood mononuclear cells (PBMCs) from a healthy donor (v3 chemistry)

5k Peripheral blood mononuclear cells (PBMCs) from a healthy donor (Next GEM)

1k 1:1 mixture of fresh frozen human (HEK293T) and mouse (NIH3T3) cells (v3 chemistry)

1k 1:1 mixture of fresh frozen human (HEK293T) and mouse (NIH3T3) cells (Next GEM)

5k 1:1 mixture of fresh frozen human (HEK293T) and mouse (NIH3T3) cells (Next GEM)

10k 1:1 mixture of fresh frozen human (HEK293T) and mouse (NIH3T3) cells (Next GEM)

5k Cells from a combined cortex, hippocampus and subventricular zone of an E18 mouse (v3 chemistry)

5k Cells from a combined cortex, hippocampus and subventricular zone of an E18 mouse (Next GEM)

5k Peripheral blood mononuclear cells (PBMCs) from a healthy donor with cell surface proteins (v3 chemistry)

5k Peripheral blood mononuclear cells (PBMCs) from a healthy donor with cell surface proteins (Next GEM)

Chromium Demonstration (v3 Chemistry)

Cell Ranger 3.0.0