Peter Smibert (@psmibert) profile picture

Same handle on other site. Vice President, Biology @10xgenomics. Former @nygctech/@nygenome. Views my own 🇦🇺

San Francisco Bay Area, CA
Joined December 2014
Photo by Peter Smibert (@psmibert)Photo by Peter Smibert (@psmibert)Photo by Peter Smibert (@psmibert)
We're really excited to work with Rahul and his team. The kit will enable you to decode >1M barcodes on Flex Apex for whatever type of perturbation you want to do.
Two VIPerturb-seq updates: 1. Updated preprint w/@CalebLareau where we enrich for VIPs using RNA markers before sequencing: biorxiv.org/content/10.64898… 2. Delighted to share that @10xGenomics is releasing a commercial VIPerturb-seq product! Check it out at pages.10xgenomics.com/WEB-20…
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Peter Smibert retweeted
We’re excited to announce our acquisition of Proteintech Genomics, a division within Proteintech Group, expanding our capabilities in proteomics and supporting our vision for integrated multiomic analysis across single cell and spatial biology. Learn more: bit.ly/49R7zTz
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I'm really thrilled to share what I've been working on the past year! We hope this method represents a step towards democratizing single-cell screens, and helps to make it possible to run genome-wide scale experiments routinely. Check out our tweetorial and the preprint here 👇
Excited to share VIPerturb-seq! New tech from my lab which aims to improve the cost, data quality, and efficiency of single-cell CRISPR screens so that they are accessible to any lab - even at genome-wide scale Preprint and 🧵 (1/): biorxiv.org/content/10.64898…
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Peter Smibert retweeted
Excited to share VIPerturb-seq! New tech from my lab which aims to improve the cost, data quality, and efficiency of single-cell CRISPR screens so that they are accessible to any lab - even at genome-wide scale Preprint and 🧵 (1/): biorxiv.org/content/10.64898…
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Peter Smibert retweeted
And another one. ☝️ Last week: ProPer-seq. This week: VIPerturb-seq from the Satija Lab. Paper after paper is proving @10xGenomics Flex is the definitive engine for genome-scale perturbation screens. The new stats are wild: 🚀 440,000 cells per lane 🚀 50x throughput boost 🚀 65% more genes detected/cell Routine genome-scale screens are here. #singlecell #genomics #CRISPR #biotech #10xGenomics #virtualcell
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Peter Smibert retweeted
We put a blog post together to tell you about all that went behind the scenes for @arcinstitute's Virtual Cell Challenge: (1) the modality used for genetic perturbations, (2) choice of single cell RNA seq chemistry, (3) which cell line to use for the challenge, (4) which genes to perturb, (5) the quality considerations for the resulting dataset, and (6) how we defined performance metrics for perturbation predictions.
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Smaller studies? We’ve got you covered. New 8-sample #singlecell kits for Universal 3’ & 5’, plus lower prices: bit.ly/4fK417l
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Excited to announce that we're becoming part of 10x Genomics! This acquisition will validate our team's incredible work and scales our impact in single cell innovation, bringing even greater value to our research community. Here's to the next phase! hubs.la/Q03BRN0B0
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Peter Smibert retweeted
Ideas aren’t just born fully mature into commercial realization. They require refinement, testing, well-integrated teams, and, moreover, a need for their purpose. I am thrilled, therefore, to announce the acquisition of Scale Biosciences by 10X Genomics. I co-founded Scale Bio with Frank Steemers (formerly of Illumina), along with Professors Jay Shendure & Cole Trapnell (University of Washington). Together, we integrated quantum bar coding and combinatorial indexing technologies for single-cell analysis of protein, gene expression, and epigenetics at the multi-million cell scale. We join now with the technological and global reach of 10x Genomics. I am incredibly excited to join 10x Genomics as a scientific advisor to amplify the broad-scale application of these ideas to researchers and patients worldwide. There is near limitless value in the data suite now produced by combined technologies at 10x that, along with the rapidly enabling landscape of artificial intelligence, will bring exciting new insights, and thereby therapies, across a range of biomedical needs. It’s an exciting time to be in the biosciences, watching as ideas evolve from scribblings on paper to helping patients!
This acquisition will bring together two pioneering companies with a shared vision: to make single cell analysis more powerful, affordable and accessible to researchers worldwide. Learn more: bit.ly/4mru4lK
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This acquisition will bring together two pioneering companies with a shared vision: to make single cell analysis more powerful, affordable and accessible to researchers worldwide. Learn more: bit.ly/4mru4lK
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Peter Smibert retweeted
New #singlecell benchmarking data is here! The team @HutchInnovation has been hard at work comparing the latest assays. Read the preprint for all the data and see how top-performing Flex and Universal assays can make a huge difference in your research: bit.ly/4569a6l
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We are pleased to share our work evaluating some of the latest single-cell platforms, including updated chemistries, in two separate experiments using peripheral blood mononuclear cells (PBMCs). biorxiv.org/cgi/content/shor…
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One key component of Perturb-Multi is in vivo Perturb-seq of formaldehyde-fixed tissue, enabled by the Flex reagents from @10xGenomics.
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Comparison of Fixed Single Cell RNA-seq Methods to Enable Transcriptome Profiling of Neutrophils in Clinical Samples biorxiv.org/cgi/content/shor… #biorxiv_genomic
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Tune in tomorrow to see @tsion_abay present her work on PERFF-seq, a novel method for enriching for specific cell types and states upstream of @10xGenomics' Flex assay. 10xgenomics.com/blog/from-ra…
Join #ScienceWebinars for their next technology broadcast! Live on Tuesday, June 18 at 12 p.m. ET, tune into "Breaking barriers: Transcript-specific enrichment for profiling of rare cell states via single-cell RNA sequencing" Register today: brnw.ch/21wKISU
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Peter Smibert retweeted
GoT-ChA! I am thrilled to announce that our paper "Mapping Genotypes to Chromatin Accessibility Profiles in Single Cells" is now out in @Nature !! 👩‍🔬👨‍🔬🧬If you want to link somatic mutations to epigenetic changes directly in patient samples: nature.com/articles/s41586-0… 👇🧵
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