Advancing multiomics for biomarker discovery: From cell-free RNA transcriptomics to spatial profiling
Innovations in sequencing and spatial technologies to support biomarker discovery
Are your single-cell NGS experiments falling short? Is there more you could glean about your cells from spatial data? Are you forced to choose between getting more data and using up precious sample for analysis?
Learn how your Cornell colleagues are resolving these issues! See how they are taking sequencing to the next level with sensitive full-length transcriptome analysis, enabling in-depth genetic exploration and discovering novel biomarkers and disease mechanisms. They are identifying circulating cell-free RNA signatures that underlie disease pathology and uncovering true single-cell spatial data by easily incorporating spatial mapping into existing sequencing workflows for holistic tissue architecture context.
Register for our seminar to learn about these transformative technologies:
SMART-Seq Total RNA Pico Input with UMIs (ZapR Mammalian) Kit
Sequence coding and long noncoding RNA from routine and challenging samples (FFPE, RIN 2–10, and DV200 >25%). Get the broadest input flexibility (250 pg–1 µg) using this library preparation kit with ribodepletion.
SMART-Seq mRNA Long Read Kit
Capture full-length mRNA transcripts over 8 kb with exceptional sensitivity from low-input samples and single cells.
Trekker Single-Cell Spatial Mapping Kit
Integrate spatial mapping into existing single-cell workflows by adding a one-hour protocol that requires no complex instruments to achieve high molecular sensitivity.
Seeker Spatial Transcriptomics Kit
Combine whole-transcriptome analysis with spatial mapping of fresh frozen tissue from your favorite eukaryotic organism at high resolution.
See how single-cell analysis with full gene-body coverage, high cell throughput, and additional spatial context can give you the power to detect biomarkers for your translational research. Register today to join our biomarker discovery discussion and lunch!
Talks:
- The power of sensitivity and coverage at scale
- Introducing Trekker: A transformative approach to single-cell and spatial omics
Yannis Ntekas
PhD student, De Vlaminck lab, Cornell University
Yannis Ntekas is a fifth-year PhD student in Biomedical Engineering at Cornell University, working in the De Vlaminck lab. He develops new tools for spatial biology that expand the types of molecules that can be studied with spatial transcriptomics, extending beyond protein-coding RNAs to capture transcripts often missed by standard assays, such as microbial RNAs and noncoding RNAs. These technologies are applied across diverse tissues and contexts, from mapping the host-microbiome interface in the gut to uncovering the transcriptional architecture of reproductive organs.
Glory Feyisayo Agun
PhD student, De Vlaminck lab, Cornell University
Glory is a second-year PhD student in the De Vlaminck lab, and she is interested in the use of cell-free nucleic acids as biomarkers for non-invasive diagnosis and monitoring. She is also currently working to understand cell-free nucleic acid stability and its impact on feature detection.
Jimmy Benge
Takara Bio USA, Inc
Jimmy Benge has built his career around genomics and transcriptomics, with a particular focus on their applications in disease diagnosis, genetic mutation identification, and therapeutic development. Currently, he is passionate about advancing the field of spatial transcriptomics, empowering researchers to explore gene expression within native tissue contexts. This innovative approach provides unprecedented insights into disease mechanisms, supporting the discovery of new therapeutic opportunities and enhancing our understanding of complex biological processes.
Zahra Ali
Takara Bio USA, Inc.
Zahra Ali began her scientific journey at the University of Nottingham, inspired by the groundbreaking cloning of Dolly the sheep. With a deep understanding of the challenges researchers face, Zahra draws on her lab experience and genetics background to guide scientists through complex workflows in genomics, single-cell analysis, and gene editing. She is passionate about empowering researchers with the tools and support they need to drive meaningful discoveries.
Takara Bio USA, Inc.
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