
Software product @10xGenomics. đ§ŹâžđĽđ¸
Santa Cruz, CA
Joined January 2012
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- Following378
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Dylan Webster retweeted
Announcing Sentira, a new cloud analysis platform designed to accelerate the path from complex biological data to experimental conclusions, starting with Sentira Spatial Analysis and @NVIDIA accelerated computing. Now available to Early Access customers: bit.ly/4rA7mvq
Awesome to see this out in the world! Very much looking forward to continuing our collaboration with Samuel Alber (@EggsAndSam7) and the @james_y_zou lab. More to come!
Exciting new work on AI agents in biology from @james_y_zou and @EggsAndSam7 in @naturemethods! As biology shifts from data generation to interpretation, AI agents can help with hypothesis generation. Excited to keep collaborating with the Zou Lab: nature.com/articles/s41592-0âŚ
. @10xGenomics "GEM-X Flex generates reliable, comprehensive transcriptomic data from both fixed tissue and clinical biopsies. By overcoming some of the limitations of fresh and frozen tissue analysis, this protocol offers a robust solution for the broad implementation of scRNA-seq in clinical trials." đ
Performance of the 10X Genomics Flex Single-Cell Sequencing Assay and its Application to Overcome Challenges in Clinical Trial Samples biorxiv.org/content/10.64898⌠#biorxiv_genomic
Dylan Webster 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 đ§ľ (1/): biorxiv.org/content/10.64898âŚ
Another point.âď¸To move functional genomics into a new era of high-resolution screening for clinical cohorts, we need more than just scaleâwe need robustness.
Recent methods like VIPerturb-seq and ProPer-seq brilliantly demonstrate the advances of @10xGenomics Flex Apex in throughput and cost efficiency with cell lines. While cell lines are excellent for technology development and some modeling applications, the true barrier to large-scale, hypothesis-driven screening is the logistical complexity of handling real-world samples. For these samples, the value of a screen is defined by its reproducibility and its ability to interrogate primary human biology.
The 10x Genomics Flex platform is emerging as the standard for these high-value datasets, specifically due to its probe-based fixation workflow. This architecture solves the critical âsampling vs. processingâ bottleneck, enabling the standardization required for large cohorts.
These recent studies illustrate why this workflow is essential for ensuring ROI on large-scale screens:
1. Standardization of Primary Cohorts (Zhu et al.) Conducting genome-scale screens in primary human cells (such as CD4+ T cells) has historically been limited by donor variability and batch effects. The Flex workflow allows for fixation at the point of collection, enabling teams to âbank and batchâ samples. This effectively eliminates technical noise, ensuring that the variance observed is biological.
biorxiv.org/content/10.64898âŚ
2. Multi-Modal Fidelity in Intact Tissue (Saunders et al.) Validating targets often requires more than just sequencingâit requires phenotypic context. Saunders et al. utilized this workflow to perform pooled genetic screens directly in intact mammalian tissue. The compatibility of Flex chemistry with fixed, permeabilized samples allows researchers to layer complex readouts (like imaging) with transcriptomics, capturing high-resolution data from complex tissue without the degradation issues common in traditional dissociation protocols.
cell.com/cell/fulltext/S0092âŚ
For R&D organizations, this represents a shift in operational capability. We can now design the highest resolution functional screens around the biology of the patient cohort, rather than the constraints of the assay.
#drugdiscovery #functionalgenomics #biotech #precisionmedicine #10xGenomics #singlecell
And another one. âď¸ 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:
đ 440,000 cells per lane
đ 50x throughput boost
đ 65% more genes detected/cell
Routine genome-scale screens are here.
#singlecell #genomics #CRISPR #biotech #10xGenomics #virtualcell
And another one. âď¸ 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:
đ 440,000 cells per lane
đ 50x throughput boost
đ 65% more genes detected/cell
Routine genome-scale screens are here.
#singlecell #genomics #CRISPR #biotech #10xGenomics #virtualcell
And this isn't even mentioning Zhu et al. from the Marson lab
(biorxiv.org/content/10.64898âŚ) AND Perturb-Multimodal from Saunders et al. (cell.com/cell/fulltext/S0092âŚ)!
Dylan Webster retweeted
Of course thatâs your contention. Youâre a first-year analytics intern. You just got finished reading some Sabermetric historianâBill James, probably. Youâre gonna be convinced of that âtil next month when you get to the latest Pitching+ update, and then youâre gonna be talkinâ about how SIERA is the only "true" measure of skill because it accounts for the complexity of the batted ball profile to CSW rates.
You have no thoughts of your own. Youâre just looking at a movement plot and trying to sound smart. Youâre gonna realize in a couple of years that you spent all that time calculating "Expected FIP" based on a "Skill-Interactive" ghost, when you couldâve just looked at the K/BB ratio and seen the whole picture.
The sad thing is, in about five years, youâre gonna realize youâre not that bright. Youâre gonna be talkinâ about Skenesâ "Expected ERA" while the real experts are just looking at a box score and realizing that if a guy doesn't walk people and he misses bats, he's gonna be fine.
You dropped $100,000 on a Data Science degree to learn how to run a regression on a pitcher's "luck," when you couldâve gotten the same predictive value for five cents in late charges by looking at a K/BB leader board at the public library.
It's amazing to see what awesome scientists can achieve with @10xGenomics GEM-X Flex. ProPer-seq highlights exactly how Flexâs probe-based, fixed-cell workflow overcomes cost and scale barriersâunlocking the massive datasets needed for large scale perturbation screens as an input to #virtualcell models.
#singlecell #genomics
More exceptional technology from the Arc Institute:
"ProPer-seq faithfully reproduces gold-standard perturb-seq phenotypes while achieving 4-fold cost reduction and 50% increased gene detection per cell."
Seems like a big improvement (in cost and resolution) for one of the most central methods in modern functional genomics.
The required inputs to scale "virtual cell" models continue to plummet in cost...
Discover with 10x. Deepen with BioTuring.
Excited to partner with @bioturing to offer an advanced ânext stepâ for researchers who need additional support in analysis as the @10xGenomics and BioTuring platforms advance together!
We are excited to announce a collaboration with @bioturing to support more seamless single cell and spatial data analysis. Read the full announcement: bit.ly/46e46fL
Dylan Webster retweeted
I recommend biology for anyone who is looking for meaning and beauty in their work!
Two conversations this weekend make me think that there's a vibe shift afoot in Silicon Valley around what one should work on and what is worthwhile.
Culturally, it feels like the moment is ripe for new frameworks:
⢠Davos expert morality is stale and discredited.
⢠It's also apparent that the "just be super based" Counter-Enlightenment is not really an answer. (Yes, woke went too far, but simply inverting it doesn't work.)
⢠EA is no longer the automatic default for smart people.
⢠There's increasing skepticism of slot and slop machine dynamics.
Overall, "what is worthy and valuable?" feels like it's becoming more central.
Dylan Webster retweeted
I would like to hope that this guy at the airport is reading a âspine tingling thrillerâ đ
I can't stand techno-doom like Black Mirror and think it's pathological to civilization.
Technology is only as good as the motivation to use it. Optimism is what lands us on the moon and cures disease. Constant cynicism is just a self-fulfilling prophecy for stagnation and despair.
Dylan Webster retweeted
Using @10xGenomics Genomics and @nanopore sequencing, we generated the first single-cell long-read dataset of the mouse hippocampus. For example, S100a16, a calcium-binding protein, has cell-type alternative isoforms undetectable with standard 10X 3â short-read data:
Dylan Webster retweeted
Integrated #pathology annotation on the Xenium platform is now available! See for yourself how easy it is enhance your spatial insights by bridging pathology and #spatialtranscriptomics in a new tutorial. Check it out now: bit.ly/43l7fsX
#AMPath2025
Excited to have a front seat @10xGenomics to see the breakthroughs that will follow from virtual cell models. And also to have had a small part in building the #singlecell #spatialbiology tools that will make this possible with data generation initiatives like the Billion Cells Project @officialbiohub
(biohub.org/news/billion-cellâŚ).
Mark Zuckerberg says progress comes from inventing tools that let us observe the world in a new way, from the microscope to AI models that simulate life itself.
"Most major breakthroughs are basically preceded by the invention of a new tool to observe phenomena in a new way."
âAnd then you try to unlock those tools and give them to the scientific community to accelerate the pace.â




















