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From tips and tricks to 10x news, our blog is here to help you learn about all things 10x. Let us know what topics you would like to see in the Community Suggestions forum.

Transcriptome analysis has made the leap from bulk population-based studies to the single cell, and scientists are harnessing this new degree of resolution with remarkable ingenuity.  By analyzing the transcriptome of a single cell at a time, the heterogeneity of a sample is captured and resolved to the fundamental unit of living organisms—the cell.
In a new Cell Stem Cell publication, Yan et al, demonstrate the utility of single cell RNA-seq to study intestinal stem cell heterogeneity, lineage hierarchy and identify potential new stem cell markers.
The introduction of single cell technologies has provided researchers the tools to dissect and understand biological systems like never before.  Insights into the burgeoning single-cell field has recently been the focus of a special issue in Nature.
New to 10x or need a refresher?  No problem.  Check out our new Chromium™ Single Cell 3’ training video series. Learn more about GemCode™ technology, single cell sample prep, data analysis and more.
In a new scientific seminar video, Dr. Britt Adamson, a Postdoctoral Fellow from the Weissman Lab at UCSF, presents her work using a novel method, Perturb-seq, to dissect the dynamic transcriptional mechanisms of the unfolded protein response.
In our June 22nd Nature Webcast, Dr. Aude Chapuis, who was recently awarded initial funding in a competition to develop projects that utilize single-cell RNA sequencing to improve research into immunotherapy-based cancer treatment, presented her T-cell immunotherapy research, highlighting the applications of scRNA-seq in developing new T-cell therapy approaches.
In a recent article in GEN, Brian Fritz, Ph.D. describes how the Chromium™ Single Cell V(D)J Solution reveals true T-cell diversity by combining microfluidics and 5' molecular barcoding to assemble full-length V(D)J sequences on a cell-by-cell basis.
A collaborative research study with Stanford University School of Medicine researchers was recently published in Nature. The article, “Non-equivalence of Wnt and R-spondin ligands during Lgr5+ intestinal stem-cell self-renewal,” describes how the 10x Genomics’ Single Cell 3’ Solution for single-cell RNA-seq (scRNA-seq) was utilized to help unravel the priming and self-renewal mechanisms of intestinal stem cells (ISCs).     
Using single-cell sequencing and a battery of molecular tools, the authors achieved unprecedented insight into epithelial cell lineage relationships and the dynamics of differentiation in murine lacrimal gland development.
The International Society for Stem Cell Research (ISSCR) annual meeting brings together stem cell researchers from around the world to share their work, discuss tools and techniques, and advance stem cell science and regenerative medicine.  Join us for our Innovation Showcase on Friday June 16 featuring 10x's Tarjei Mikkelsen and featured guest speaker, Julie Sneddon, Assitant Professor, UCSF School of Medicine.
Seattle Children’s announces the first clinical trial applying next-generation T-cell receptor (TCR) sequencing and single-cell gene expression analysis to better understand the role of the immune system in inflammatory bowel disease and graft-versus host disease in pediatric patients.
There’s a growing number of data analysis tools being developed for single cell and Linked-Read applications, including gene expression, genome assembly, structural variant detection and more.  Check out the list we’ve compiled so far.
Five scientists from Fred Hutchinson Cancer Research Center were awarded the initial stage of funding in a competition sponsored by the Immunotherapy Integrated Research Center to develop projects that utilize single-cell RNA sequencing and 10x Genomics technology.
This month The Scientist is featuring a 10x Genomics infographic, “Revolutionizing Gene Expression with Single-Cell RNA-seq”, recognizing the promise of single cell analysis for powering discoveries in immunology, neurology, stem cell biology, oncology, and immuno-oncology.
It’s day four at #AACR17 and the inspiring science continues.  Refuel with some coffee and check out these posters that utilized 10x technology for single cell analysis and whole genome sequencing (WGS) with Linked-Reads.
We are excited to announce the launch of our new Chromium™ Single Cell V(D)J Solution. It is the first high-throughput solution for profiling paired V(D)J transcripts from hundreds to millions of lymphocytes and expands our industry-leading single-cell product portfolio.
A key challenge across all single-cell RNA-sequencing (scRNA-seq) techniques is the preservation of each cell’s transcriptional profile throughout the entire sample handling process.  Two recent publications have developed similar cryopreservation techniques that can be readily implemented into scRNA-seq workflows.
We recently had a chance to speak with Bo Wang, lead author on the new Nature Methods paper, "Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning", about the current challenges and future potential of single cell analysis.
The novel approach called SIMLR (single-cell interpretation via multi-kernel learning), learns appropriate cell-to-cell similarity metrics for dimension reduction and clustering of single cell RNA-seq data.
Why share our 1.3 million cell dataset? We believe the public sharing of single cell data will fuel biological discovery and enable big-data software tool development.
The new Loupe™ Cell Browser makes it easy to perform single cell analysis to identify cell populations, isolate significant genes and measure expression levels - even for million cell datasets
In a recent Nature Communications publication, researchers at the Fred Hutchinson Cancer Research Center and 10x use single cell analysis to profile Leukemia patients who had undergone bone marrow transplant.
Two new publications in Cell describe a novel approach to high-throughput functional genomics enabled by the combination of single cell RNA-seq with CRISPR perturbations call Perturb-seq.
The latest release of Cell Ranger™ Software 1.2 for single cell data analysis includes updates for scalability, usability and analysis improvements.
With the power to interrogate complex systems, comes the need to analyze complex single cell datasets.  10x Genomics and the single cell research community are working hard to develop computational solutions that are approachable to both seasoned bioinformaticians and beginners alike.
Dr. Rahul Satija will demonstrate how to use Seurat – an R toolkit for single cell RNA-seq – to discover, classify, and interpret cell types and states from large-scale scRNA-seq datasets.   
  In recent years many technologies have been developed to look at individual cells at both the DNA and mRNA level to better understand what cell types are present in a tissue and how their malfunction can lead to disease.