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Scientific Seminars

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
John Chevillet, PhD

Associate Product Manager, 10x Genomics

December 03, 2019

新たな次元を描く: Visium 空間的遺伝子発現を始めよう

大崎研

Regional Marketing Manager, North APAC, 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

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
Zachary Bent, PhD

10x Genomics

September 18, 2019

シングルセル遺伝子発現データ解析を始めよう

寺倉伸治, PhD

Senior Field Application Scientist, North APAC, 10x Genomics

September 12, 2019

シングルセル解析のためのサンプル調製：秘訣とコツ

寺倉伸治, PhD

Senior Field Application Scientist, North APAC, 10x Genomics

September 11, 2019

Sample Preparation for Single Cell Analysis: Tips and Tricks

Jill Herschleb, PhD

Director, Sample Preparation, 10x Genomics

August 14, 2019

シングルセルDNAシーケンスを始めよう：真のゲノム不均一性を発見

大崎研

Regional Marketing Manager, 10x Genomics

August 01, 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
Pernille Albertus
Roser Vento-Tormo

10x Genomics

July 16, 2019

免疫研究者のためのシングルセル解析

大崎研

Regional Marketing Manager, 10x Genomics

July 03, 2019

Uncover True Genomic Heterogeneity: Getting Started with Single Cell Genomes

Kamila Belhocine

10x Genomics

June 13, 2019

シングルセル発現解析を始めよう：10x Genomicsで遺伝子発現実験を成功させるためのヒント

大崎研

Regional Marketing Manager, North APAC, 10x Genomics

May 06, 2019

シングルセルATAC-Seqを始めよう：高解像度のエピゲノム解析

大崎研

Regional Marketing Manager, 10x Genomics

April 22, 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

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
Annika Branting
Pawel Zajac

KU Leuven | 10x Genomics | Illumina

November 28, 2018

LabRoots Webinar

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

Annika Branting
Roser Vento-Tormo
Mirjana Efremova

10x Genomics | Wellcome Sanger Institute

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
Howard Chang
Grace Zheng

10x Genomics & Stanford Univ.

October 03, 2018

Summer Webinar Series – Single Cell Mouse Immune Profiling

Giovanna Prout
Josephine Lee

10x Genomics

July 26, 2018

Single Cell Summer Webinar Series

Interrogating Chromatin Accessibility and Regulatory Landscape at Single-Cell Resolution

Anjana Narayanan
Grace Zheng

10x Genomics

July 19, 2018

Summer Webinar Series – Single Cell CNV

Anushka Brownley
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

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

Single Cell Gene Expression – Chapter 1 – Single Cell Digital Gene Expression

Single Cell Gene Expression – Chapter 2 – GemCode Technology and the Single Cell 3′ Solution

Single Cell Gene Expression – Chapter 3 – Biochemistry Behind the Single Cell Assay

Single Cell Gene Expression – Chapter 4 – Sample Preparation

Single Cell Gene Expression – Chapter 5 – GEM Generation and Barcoding

Single Cell Gene Expression – Chapter 6 – Post-GEM RT Cleanup and cDNA Amplification

Single Cell Gene Expression – Chapter 7 – Library Construction and Sequencing Libraries

Single Cell Gene Expression – Chapter 8 – Cell Ranger: Overview

Single Cell Gene Expression – Chapter 9 – Cell Ranger: Transcript Counting and the Gene/Cell Matrix

Single Cell Gene Expression – Chapter 10 – Cell Ranger: QC Metrics and Secondary Analysis

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

10x-Pert Webinars

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

10x-perts:
Mike Stubbington
Alvaro Martinez Barrio
Dagmar Walter

Staff Computational Biologist

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
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
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

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

1k PBMCs from a Healthy Donor – Gene Expression and Cell Surface Protein

10k PBMCs from a Healthy Donor – Gene Expression and Cell Surface Protein

10k Cells from a MALT Tumor – Gene Expression and Cell Surface Protein

1k PBMCs from a Healthy Donor (v2 chemistry)

1k PBMCs from a Healthy Donor (v3 chemistry)

10k PBMCs from a Healthy Donor (v3 chemistry)

1k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells (v2 chemistry)

1k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells (v3 chemistry)

5k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells (v3 chemistry)

10k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells (v3 chemistry)

1k Brain Cells from an E18 Mouse (v2 chemistry)

1k Brain Cells from an E18 Mouse (v3 chemistry)

10k Brain Cells from an E18 Mouse (v3 chemistry)

1k Heart Cells from an E18 mouse (v2 chemistry)

1k Heart Cells from an E18 mouse (v3 chemistry)

10k Heart Cells from an E18 mouse (v3 chemistry)

Chromium Demonstration (v2 Chemistry)

Cell Ranger 2.1.0

100 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

1k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

6k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

12k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

4k PBMCs from a Healthy Donor

8k PBMCs from a Healthy Donor

9k Brain Cells from an E18 Mouse

1k Brain Cells from an E18 Mouse

1k Brain Nuclei from an E18 Mouse

2k Brain Nuclei from an Adult Mouse (>8 weeks)

2k Brain Cells from an E18 Mouse

2k Fixed Brain Cells from an E18 Mouse

2k Fixed (for 6 days at -80ºC) Brain Cells from an E18 Mouse

3k Pan T Cells from a Healthy Donor

4k Pan T Cells from a Healthy Donor

Aggregate of t_3k and t_4k

Cell Ranger 2.0.1

100 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

1k Brain Cells from an E18 Mouse

2k Brain Nuclei from an Adult Mouse (>8 weeks)

1k Brain Nuclei from an E18 Mouse

1k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

6k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

12k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

4k PBMCs from a Healthy Donor

8k PBMCs from a Healthy Donor

9k Brain Cells from an E18 Mouse

3k Pan T Cells from a Healthy Donor

4k Pan T Cells from a Healthy Donor

Aggregate of t_3k and t_4k

Cell Ranger 1.3.0

100 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

1k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

6k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

12k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

4k PBMCs from a Healthy Donor

8k PBMCs from a Healthy Donor

9k Brain Cells from an E18 Mouse

3k Pan T Cells from a Healthy Donor

4k Pan T Cells from a Healthy Donor

Aggregate of t_3k and t_4k

Cell Ranger 1.2.0

100 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

1k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

6k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

12k 1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

4k PBMCs from a Healthy Donor

8k PBMCs from a Healthy Donor

9k Brain Cells from an E18 Mouse

3k Pan T Cells from a Healthy Donor

4k Pan T Cells from a Healthy Donor

33k PBMCs from a Healthy Donor

6k PBMCs from a Healthy Donor

1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

3k PBMCs from a Healthy Donor

Cell Ranger 1.0.0

1:1 Mixture of Fresh Frozen Human (HEK293T) and Mouse (NIH3T3) Cells

3k PBMCs from a Healthy Donor

Single Cell 3′ Paper: Zheng et al. 2017

Cell Ranger 1.1.0

CD19+ B Cells

Frozen PBMCs (Donor B)

293T and 3T3 Cell Mixture

CD4+ Helper T Cells

CD34+ Cells

50%:50% Donor B: Donor C PBMC Mixture

ERCC (1k GEMS, 1:10 Dilution)

CD8+ Cytotoxic T cells

AML035 Pre-transplant BMMCs

90%:10% Donor B: Donor C PBMC Mixture

293T Cells

Fresh 68k PBMCs (Donor A)

Jurkat Cells

Frozen PBMCs (Donor A)

CD56+ Natural Killer Cells

CD14+ Monocytes

AML027 Post-transplant BMMCs

AML035 Post-transplant BMMCs

Frozen BMMCs (Healthy Control 2)

99%:1% Jurkat:293T Cell Mixture

50%:50% Jurkat:293T Cell Mixture

CD8+/CD45RA+ Naive Cytotoxic T Cells

AML027 Pre-transplant BMMCs

CD4+/CD25+ Regulatory T Cells

Frozen BMMCs (Healthy Control 1)

Frozen PBMCs (Donor C)

CD4+/CD45RA+/CD25- Naive T cells

CD4+/CD45RO+ Memory T Cells

99%:1% Donor B: Donor C PBMC Mixture

Single Cell Immune Profiling Datasets

V(D)J + 5′ Gene Expression Next GEM Demonstration (v1.1 Chemistry)

Cell Ranger 3.1.0

Human PBMC – 5′ Cell Surface Protein-Only (v1)

Human PBMC – 5′ Cell Surface Protein-Only (Next GEM v1.1)

PBMCs of a Healthy Donor (v1)

PBMCs of a Healthy Donor (Next GEM v1.1)

PBMCs from C57BL/6 mice (v1)

PBMCs from C57BL/6 mice (Next GEM v1.1)

PBMCs of a Healthy Donor (v1, 150×150)

PBMCs of a Healthy Donor (Next GEM v1.1, 150×150)

PBMCs from C57BL/6 mice (v1, 150×150)

PBMCs from C57BL/6 mice (Next GEM v1.1, 150×150)

Cell Ranger 3.0.2

PBMCs of a Healthy Donor (v1)

PBMCs of a Healthy Donor (Next GEM v1.1)

PBMCs from C57BL/6 mice (v1)

PBMCs from C57BL/6 mice (Next GEM v1.1)

Application Note – A New Way of Exploring Immunity

Cell Ranger 3.0.2

CD8+ T cells of Healthy Donor 1

CD8+ T cells of Healthy Donor 2

CD8+ T cells of Healthy Donor 3

CD8+ T cells of Healthy Donor 4

Application Note – Redefining Cellular Phenotyping

Cell Ranger 3.0.2

Sorted PBMCs from a CMV seropositive donor – 5′ gene expression and cell surface protein

Sorted PBMCs from a CMV seropositive donor – TCR enrichment from amplified cDNA

Unsorted PBMCs from a CMV seropositive donor – 5′ gene expression and cell surface protein

Unsorted PBMCs from a CMV seropositive donor – TCR enrichment from amplified cDNA

Aggregated PBMCs from a CMV seropositive donor – 5′ gene expression and cell surface protein

Sorted PBMCs from a CMV seronegative donor – 5′ gene expression and cell surface protein

Sorted PBMCs from a CMV seronegative donor – TCR enrichment from amplified cDNA

Unsorted PBMCs from a CMV seronegative donor – 5′ gene expression and cell surface protein

Unsorted PBMCs from a CMV seronegative donor – TCR enrichment from amplified cDNA

Aggregated PBMCs from a CMV seronegative donor – 5′ gene expression and cell surface protein

V(D)J + 5′ Gene Expression + Cell Surface Protein – Human

Cell Ranger 3.0.0

PBMCs of a healthy donor – 5′ gene expression and cell surface protein

PBMCs of a healthy donor – TCR enrichment from amplified cDNA

PBMCs of a healthy donor – Ig enrichment from amplified cDNA

V(D)J + 5′ Gene Expression – Mouse

Cell Ranger 3.0.0