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Demonstrate the value of RareCyte Orion system via web-based Minerva viewer

RareCyte

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The HTA CRC Atlas X dataset contains images and other data being used for construction of an atlas of human colorectal...

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Analytik Jena

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HTG Molecular Diagnostics

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Analytik Jena

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Outstanding post-sort sample recovery on the WOLF Cell Sorter

NanoCellect

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Favipiravir at high doses has potent antiviral activity in SARS-CoV-2−infected hamsters

MOLECUBES

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Favipiravir at high doses has potent antiviral activity in SARS-CoV-2−infected hamsters, whereas hydroxychloroquine...

Quantitative 3D Optical Imaging for Lago

Spectral Instruments Imaging

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Extensive assessment of Cytokine production on the NovoCyte Penteon flow cytometer

Agilent technologies

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How to Improve Your Viral Nucleic Acid Extraction Processes

Analytik Jena

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High-Throughput Extraction with CyBio FeliX

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HistoQuest software in cancer research

Mar 22, 2016

Prostate cancer (PCa) is the most prevalent cancer in men. Hyperactive STAT3 is thought to be oncogenic in PCa. However, targeting of the IL-6/STAT3 axis in PCa patients has failed to provide therapeutic benefit. Here we show that genetic inactivation of Stat3 or IL-6 signalling in a Pten-deficient PCa mouse model accelerates cancer progression leading to metastasis. Mechanistically, we identify p19ARF as a direct Stat3 target. Loss of Stat3 signalling disrupts the ARF–Mdm2–p53 tumour suppressor axis bypassing senescence. Strikingly, we also identify STAT3 and CDKN2A mutations in primary human PCa. STAT3 and CDKN2A deletions co-occurred with high frequency in PCa metastases. In accordance, loss of STAT3 and p14ARF expression in patient tumours correlates with increased risk of disease recurrence and metastatic PCa. Thus, STAT3 and ARF may be prognostic markers to stratify high from low risk PCa patients. Our findings challenge the current discussion on therapeutic benefit or risk of IL-6/STAT3 inhibition.

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TissueGnostics

TissueGnostics develops systems for automated identification and functional characterization of single cells in tissue sections, cultured and smeared cells as well as TMA. This includes automated image acquisition and image processing for immunohistochemistry and multi-chanel immunofluorescence.

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