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Industry Observations of Spatial Transcriptome in Tumor Microenvironment and Drug R&D

Industry News 2026-09-20 19:53 Author:ABIOP生物试剂网 Source:AI 生成 Views 11 AI Generated
Industry Observations of Spatial Transcriptome in Tumor Microenvironment and Drug R&D

Why is the spatial transcriptome receiving industry attention?

Traditional transcriptome sequencing usually requires the tissue to be shattered into single cells or homogenates, with the loss of spatial location information.Spatial transcriptome technology provides a new dimension for understanding how cells interact in tissue by preserving tissue in situ structure and obtaining both gene expression and spatial coordinates.In recent years, this technology has received much attention in tumor biology, neuroscience, developmental biology, and immunology research, and the demand for related reagents and equipment has continued to grow.

It should be noted that spatial transcriptome is currently mainly used in scientific research scenarios and is not equivalent to clinical diagnosis or accompanying diagnostic tools.When publicizing and promoting, industry participants should avoid using expressions beyond scientific research purposes and comply with in vitro diagnostic and medical device related regulatory requirements.

Spatial Perspective in Tumor Microenvironmental Research

Tumor tissue consists of tumor cells, immune cells, fibroblasts, vascular endothelial cells, and extracellular matrix.Different regions may have differences in immune infiltration, hypoxia gradients, or differences in clonal evolution.The spatial transcriptome can observe the spatial expression patterns of specific genes near the core, edge, or tertiary lymphoid structures of the tumor, helping researchers identify cellular neighborhoods associated with immunosuppression or immune activation.

To analyze the spatial distance and co-localization relationship between tumor cells and T cells and macrophages.

Compare the spatial expression heterogeneity of immune-related genes in different patient samples.

Combined with the annotation of the pathological section, look for specific morphological region pairs

Comments(4)

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  • David1488 2026-09-02 12:59

    我们也在看这个技术,不知道在实体瘤样本上重复性怎么样?

  • Elisa 2026-09-15 08:29

    空间转录组这两年确实火,但数据解读和成本还是门槛。

  • Amy7024 2026-08-22 04:46

    我们也在评估这个技术,想知道哪些癌种更适合用空间转录组?

  • 科研研究员 2026-09-16 06:22

    空间转录组看肿瘤微环境确实直观,就是数据量太大,分析门槛不低。

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