Science Careers

Cancer is a conversation between the tumor and its surrounding host cells. Within this space, known as the tumor microenvironment, the tumor interacts with blood vessels, immune cells, fibroblasts, and the extracellular matrix. Tumors influence the tumor microenvironment by releasing extracellular signals, promoting tumor angiogenesis, and inducing peripheral immune tolerance. Likewise, the immune cells in the TME respond by releasing cytokines and antibodies to reduce the growth and evolution of the cancerous cells.

Single-cell and spatial transcriptomics techniques allow researchers to tap into the conversation by resolving the diversity and trajectory of cancer cell states, spatially and temporally, within tumor microenvironments. In this webinar, our speaker will discuss how these techniques can be used to elucidate the mechanisms of specific niche signals used to reprogram melanoma cells to support growth and metastasis. He will reveal how understanding tumor microenvironments with spatial context provides insights that can encourage the development of novel therapeutic strategies to intercept cancer cell growth via inference with important microenvironmental cues.

In this webinar, viewers will:

• Explore the benefits of performing spatial transcriptomics for translational oncology research
• Discover how to combine single-cell and spatial transcriptomics data with other computational data, to create a spatial and temporal map of a tumor microenvironment
• Understand the origins of a spatially localized perivascular niche that contributes to tumorigenic competence
• Have an opportunity to ask questions during the live broadcast.

This webinar will last for approximately 60 minutes.

Chronic inflammation is a major cause of morbidity and mortality worldwide. Clinicians are becoming increasingly aware that health outcomes depend not only on the choice of treatment, but also on the timing of treatment with respect to the disease trajectory. Evidence is mounting that treating inflammatory diseases, such as rheumatoid arthritis, and autoimmune diseases, such as type 1 diabetes, within a particular timeframe can offer significant benefits. This concept, referred to as the “window of opportunity,” may have far-reaching applications in the treatment of autoimmune and autoinflammatory diseases and even cancer. In this webinar, experts will discuss the basic mechanisms that create the window of opportunity as well as what the research says about how to apply this concept in a clinical setting.

During this webinar the speakers will:

• Describe the molecular mechanisms that govern the effectiveness of treatments that prevent damage from autoimmune and autoinflammatory diseases
• Offer insights into how researchers can incorporate the “window of opportunity” concept into the design of intervention studies
• Provide information clinicians can apply to their treatment strategies
• Answer your questions during the live broadcast.

This webinar will last for approximately 60 minutes.

From single-cell RNA sequencing to spatial transcriptomics, single-cell genomics has not only transformed cell type and state discovery, but also enabled researchers to measure alternative modalities that span the central dogma, obtain spatial information at single-molecule resolution, and scale to profile millions of cells. The latest single-cell technologies help shorten the path to discovery in areas including drug and diagnostic development, immunology, and neuroscience, but data analysis is sometimes challenging. With the latest version of the widely used, free, open-source single-cell and spatial analysis software Seurat, you can simplify data analysis and uncover new biological insights from your datasets. Discover how you can take advantage of cutting-edge single-cell and spatial approaches with Seurat’s developer Dr. Rahul Satija of the New York Genome Center as he introduces Seurat v5.

During the webinar, viewers will:

• Learn about the flexible and scalable infrastructure that enables the routine analysis of millions of cells on a laptop computer
• Hear about the latest Seurat v5 software, which can be used for the analysis, exploration, and integration of single-cell, spatial, and in situ datasets
• Explore the statistical methods for integrative analysis of gene expression alongside additional modalities, including protein, ATAC, and CUT&Tag datasets
• Be able to submit their questions to the experts during the live broadcast.

This webinar will last for approximately 60 minutes.