Welcome to the 10x Blog

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.

We’re excited to share our newest update to the Chromium Single Cell Immune Profiling Solution—mouse immune repertoire profiling!
Our 3rd North American User Group Meeting of the year took place on Thursday, April 26th, in Chicago, and we were thrilled to see so many members of the 10x community there!
AGBT 2018 delivered some great science, talks, posters and time to catch up with old friends. Since our workshop was jam-packed with great information and exciting product announcements this year, we wanted to share some highlights.
In a new publication in Blood Advances, researchers utilized the Chromium™ Single Cell 3’ Gene Expression Solution to explore immune surveillance in multiple myeloma and illustrate a novel pathway where immunomodulatory drugs may modulate the immune microenvironment.
Profiling paired V(D)J transcripts from hundreds to millions of lymphocytes on a cell-by-cell basis, the Chromium™ Single Cell V(D)J system is a complete, scalable tool that has the potential to accelerate progress in immune therapy development.  In our recent 10x-pert Workshop, R&D scientists discussed the V(D)J Solution and performed a live demo of Loupe™ V(D)J Browser for data visualization.
Single-cell RNA-seq enables researchers to examine gene expression on a cell-by-cell basis providing insights into the function and regulation of complex biological systems.  In our recent 10x-pert Workshop, R&D scientists discussed single-cell RNA-seq data analysis tools, including Cell Ranger™ analysis pipelines, and performed a live demo of Loupe™ Cell Browser for data visualization.
We recently hosted our first live, online 10x-pert Workshop featuring single-cell sample prep topics.  Two of our R&D scientists gave a presentation detailing general do’s and don’ts followed by a closer look at two of our demonstrated protocols for preparing nuclei for single-cell RNA-seq and removing dead cells.
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 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.
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.
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.
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.
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.
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.