cells

Season 4, Episode 6: Cell Therapies of the Future with Dan Goodman

Episode Contributors: Michael Chavez, Alex Teng, Daniel Goodman

Episode Summary: Chimeric antigen receptors, or CARs, repurpose the build-in targeting and homing signals of our immune system to direct T cells to find and eliminate cancers. Although CAR-T cells have transformed the care of liquid tumors in the circulating blood, like B cell leukemia and lymphoma, CAR-T therapy has shown limited efficacy against solid tumors. To unlock the full potential of CAR-T therapies, better receptor designs are needed. Unfortunately, the space of potential designs is too large to check one by one. To design better CARs, Dan and his co-author Camillia Azimi developed CAR Pooling, an approach to multiplex CAR designs by testing many at once with different immune costimulatory domains. They select the CARs that exhibit the best anti-tumor response and develop novel CARs that endow the T cells with better anti-tumor properties. Their methods and designs may help us develop therapies for refractory, treatment-resistant cancers, and may enable CAR-T cells to cure infectious diseases, autoimmunity, and beyond.

About the Author

  • During his PhD in George Church’s lab at Harvard Medical School, Dan studied interactions between bacterial transcription and translation, built and measured libraries of tunable synthetic biosensors, and constructed a new version of the E. coli genome capable of incorporating new synthetic amino acids into its proteins. He also built a high-throughput microbial genome design and analysis software platform called Millstone.

  • As a Jane Coffin Childs Postdoctoral Fellow at UCSF, Dan is currently applying these high-throughput synthetic approaches to engineer T cells for the treatment of cancer and autoimmune disease. He is also working in the Bluestone, Roybal, and Marson labs.

Key Takeaways

  • By genetically engineering the chimeric antigen receptor (CAR), T cells can be programmed to target new proteins that are markers of cancer, infectious diseases, and other important disorders.

  • However, to realize this vision, more powerful CARs with better designs are needed - current CAR-T therapies have their restraints, including limited performance against solid tumors and lack of persistence and long-term efficacy in patients.

  • An important part of the CAR response is “costimulation,” which is mediated by the 4-1BB or CD28 intracellular domains in all CARs currently in the clinic. Better designs of costimulatory domains could unlock the next-generation of CAR-T therapies.

  • Since there are so many possibilities for costimulatory domain designs, it’s difficult to test them all in the lab.

  • Based on his experience in the Church Lab, Dan has developed tools to “multiplex” biological experiments; that is, to test multiple biological hypotheses in the same experiment and increase the screening power.

  • Dan and his co-author Camillia Azimi developed “CAR Pooling”, a multiplexed approach to test many CAR designs at once.

  • Using CAR Pooling, Dan tested 40 CARs with different costimulatory domains in pooled assays and identified several novel cosignaling domains from the TNF receptor family that enhance persistence or cytotoxicity over FDA-approved CARs.

  • To characterize the different CARs, Dan also used RNA-sequencing.

Impact

  • The CAR Pooling approach may enable new, potent CAR-T therapies that can change the game for solid tumors and other cancers that are currently tough to treat.

  • Highly multiplexed approaches like CAR Pooling will allow us to build highly complex, programmable systems and design the future of cell engineering beyond CAR-T.

  • In addition to new therapeutics, high-throughput studies will allow us to understand the “design rules” of synthetic receptors and improve our understanding of basic immunology.

Paper: Pooled screening of CAR T cells identifies diverse immune signaling domains for next-generation immunotherapies


Season 4, Episode 4: Illuminating Biological Context with Josie Kishi

First Author: Jocelyn Kishi

Episode Summary: Technologies like next-generation sequencing allow us to understand which RNA transcripts and proteins are expressed in biological tissues. However, it’s often equally important to understand how cells or molecules are positioned relative to one another! Whether it be a cell changing its shape, an organelle ramping up a metabolic process, or a DNA molecule traveling across the nucleus, understanding spatial context is critical. Current approaches for spatial sequencing are limited by cost, complicated equipment, sample damage, or low resolution. Recognizing this challenge, Josie and team developed Light-seq, a cheap and accessible method to combine sequencing and imaging in intact biological samples. Not only is the method inexpensive, but Light-seq can also achieve unprecedented spatial resolution by using light to add genetic barcodes to any RNA, allowing scientists to determine exactly where sequencing should occur with extreme precision. By helping researchers to understand spatial context, Light-seq-driven insights may illuminate cancer, neurodegeneration, and autoimmunity.

About the Author

  • Following her lifelong passion for computer programming, Josie studied Computer Science at Caltech and worked as a software engineering intern at Google. At Caltech, a biomolecular computation course introduced her to the field of biomolecular programming.

  • Josie quickly got excited about the intersection of computers and biology and its potential to bring about positive change in the world. She pursued this interest in her graduate studies in the Wyss Institute for Biologically Inspired Engineering at Harvard, where – as first a postdoctoral fellow, and then the Technology Development Fellow – she developed platform technologies for DNA-based imaging and sequencing assays.

Key Takeaways

  • Next-generation sequencing is a powerful technology to read the transcriptomic state of biological tissues by surveying the RNA transcripts present.

  • However, it’s important to understand not only what is being expressed but where this expression occurs! The spatial arrangement, structure, and interactions between molecules are critical to define the functions of biological systems.

  • By linking imaging with -omics profiling, the field of spatial biology seeks to understand molecules like RNAs in their 2D and 3D contexts.

  • Unfortunately, currently available spatial transcriptomics methods are limited in their ability to select individual cells with complex morphologies, require expensive instrumentation or complex microfluidics setups to the tune of several $100K, and often damage the samples.

  • Further, rare cells are often missed due to lower sequencing throughput, even though they may be critical for biological activity.

  • Recognizing this challenge, Josie and her collaborators developed Light-seq, a new, cheap, and accessible approach for single-cell spatial indexing and sequencing of intact biological samples.

  • Using light-controlled nucleotide crosslinking chemistry, Light-seq can correlate multi-dimensional and high-resolution cellular phenotypes – like morphology, protein markers, spatial organization) – to transcriptomic profiles across diverse sample types.

  • In particular, using the biological equivalent of photolithography, Light-seq can add genetic barcodes to any RNA by shining light on it, allowing scientists to control exactly where sequencing should occur with extreme precision – up to the subcellular level.

  • Light-seq can operate directly on the sample: the method does not require cellular dissociation, microfluidic separation/sorting, or custom capture substrates or pre-patterned slides.

  • Samples used for Light-seq remain intact for downstream analysis post-sequencing.

  • Josie evaluated Light-seq on mouse retinal sections to barcode three different cell layers and study the rare dopaminergic amacrine cells (DACs).

Impact

  • Josie created a cheap, accessible, and powerful tool for scientists to perform spatial sequencing at unprecedented resolution without requiring expensive or complicated setups.

  • By enabling new advances in spatial biology, Light-seq has the potential to help biologists discover biomarkers for disease, measure on and off target effects of therapeutic candidates, and illuminate poorly understood biological mechanisms where understanding spatial context makes all the difference.

Paper: Light-Seq: Light-directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing


Season 2, Episode 4: Why CAR T Therapies are Such a Headache with Kevin Parker

First Author: Kevin Parker

Episode Summary: Engineered T cells that hunt and kill blood cancers have recently obtained three landmark FDA approvals, forever changing the way we treat this disease. Even with its massive clinical success, these cells come with life-threatening neurotoxicities. But is neurotoxicity a set feature of using T cell therapies or is our engineering accidentally targeting the brain? Utilizing advances in bioinformatics and the huge sequencing datasets available to science, Kevin uncovers similarities between a cell type in our brain and the cancer we target with engineered cells. Finding this needle in a haystack, Kevin creates a link between how we engineer these cells and the neurotoxicities we see, discovering a potential root cause of the problem and generating a rule for how to engineer around it.

About the Author

  • Kevin recently received his PhD from Stanford University in the labs of Professor Howard Chang and Professor Ansuman Satpathy. These labs specialize in uncovering the molecular mechanisms of disease using advanced sequencing modalities.

  • Bridging both biology and computer science, Kevin’s background and expertise made him uniquely suited to hunt down the culprit of CAR T cell neurotoxicity.

Key Takeaways

  • CAR T cells are excellent at killing blood cancers but are not without side-effects -- they can cause severe neurotoxicities.

  • The receptor engineered into CAR T cells was thought to be specific to these blood cancers, ensuring the therapies don't attack healthy tissue.

  • Kevin looked at publically available single cell sequencing data to find a small subset of brain cells hiding in plain sight that the CAR T cells could attack. 

  • In mice, engineered “blood cancer specific” T cells attack the brain, demonstrating that neurotoxicity is an off-target effect of the therapy, not a byproduct.

Translation

  • The finding points to the potential need for different engineered receptors to be used to target these blood cancers.

  • As CAR T cells expand to other cancers and malignancies, this process can be run to ensure we engineer cells that minimize the opportunity for damage to healthy tissue.

Paper: Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies