GeoMx® Mouse Whole Transcriptome Atlas
あなたの 研究の一助に
全トランスクリプトーム空間RNA解析
発生生物学や疾患の発症、進行および治療を理解する上で、マウスモデルは非常に重要な役割を果たしています。しかし、バルクRNA-seq解析またはシングルセルRNA-seq解析のデータを使用するマウスのトランスクリプトーム研究の多くでは、組織の不均一性が結果の解釈を困難にします。GeoMx Mouse Whole Transcriptomeアッセイは、空間トランスクリプトームを利用して遺伝子改変マウスモデルの組織構造と機能を明らかにできます。
論文とポスター
Characterizing Late-Onset AD Models Using Spatial Whole Transcriptome Analysis – AGBT 2021
Smarca4-deficient lung cancers display a metastatic-like cell state and a distinct cell-of-origin – AGBT 2021
Opposing immune and genetic mechanisms shape oncogenic programs in synovial sarcoma
Synovial sarcoma (SyS) is an aggressive neoplasm driven by the SS18-SSX fusion, and is characterized by low T cell infiltration. Here, we studied the cancer-immune interplay in SyS using an integrative approach that combines single-cell RNA sequencing (scRNA-seq), spatial profiling and genetic and pharmacological perturbations.
The spatial landscape of lung pathology during COVID-19 progression
Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19)1–8. However, thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking.
Temporal and spatial heterogeneity of host response to SARS-CoV-2 pulmonary infection
The relationship of SARS-CoV-2 pulmonary infection and severity of disease is not fully understood. Here we show analysis of autopsy specimens from 24 patients who succumbed to SARS-CoV-2 infection using a combination of different RNA and protein analytical platforms to characterize inter-patient and intra-patient heterogeneity of pulmonary virus infection.
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