Dylan Webster

.@10xGenomics is hiring for an extremely unique opportunity to help shape the future of AI biology. Hit me up if you're interested. careers.kula.ai/10xgenomics/…

We released Sentira Single Cell today. It's an agentic analysis application for single cell data with scaled compute in 10x Cloud. Check it out and let us know what you think: 10xgen.com/sentira Congrats to the entire team for making it happen.

Super cool. Seems like a lot of related recent work is pointing to a vision of amazing things to come unraveling eQTLs. These are the building blocks that make AI x bio promises tangible.

I've been telling anyone who will listen about this every day. Read it!

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!

. @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." 👀

Another point.☝️To move functional genomics into a new era of high-resolution screening for clinical cohorts, we need more than just scale—we 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 “sampling vs. processing” 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 “bank and batch” samples. This effectively eliminates technical noise, ensuring that the variance observed is biological. biorxiv.org/content/10.64898… 2. Multi-Modal Fidelity in Intact Tissue (Saunders et al.) Validating targets often requires more than just sequencing—it 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/S0092… 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

It's amazing to see what awesome scientists can achieve with @10xGenomics GEM-X Flex. ProPer-seq highlights exactly how Flex’s probe-based, fixed-cell workflow overcomes cost and scale barriers—unlocking the massive datasets needed for large scale perturbation screens as an input to #virtualcell models. #singlecell #genomics

Discover with 10x. Deepen with BioTuring. Excited to partner with @bioturing to offer an advanced “next step” for researchers who need additional support in analysis as the @10xGenomics and BioTuring platforms advance together!