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spatial transcriptomics
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  • Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems




    Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
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    Last edited by SEQadmin2; 07-09-2026, 12:35 PM.

  • Cancer Drug Resistance: The Lingering Barrier to Rising Survival

    Cancer Drug Resistance: The Lingering Barrier to Rising Survival




    Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

    There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
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  • Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends



    With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


    Introduction

    Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
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    Last edited by SEQadmin2; 05-26-2026, 09:50 AM.

  • Beyond Sequencing: The Spatial Dimensions of the Transcriptome

    Beyond Sequencing: The Spatial Dimensions of the Transcriptome





    Spatial technologies have improved our understanding of the transcriptome by providing insights into the spatial organization and interactions of cells. While next-generation sequencing (NGS) remains an important approach and is the main focus of our community, its data alone is unable to resolve unique spatial information. Jacob Stern, Director of Product Management at 10X Genomics, emphasized how numerous researchers choose to use both spatial platforms and single-cell...
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