{ "items": [ "\n\n
\n \n 11 February 2021\n \n
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\n \n\n \n \n \nLudwig Oxford Director Professor Xin Lu features in this showcase of women in diverse roles across Oxford\u2019s Medical Sciences Division.
\n \n\n\n \n 4 January 2021\n \n
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\n \n\n \n \n \nThe drug arsenic trioxide can restore the structure and function of some p53 tumour suppressor mutants, with potential as a future personalised cancer treatment strategy.
\n \n\n\n \n 30 November 2020\n \n
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\n \n\n \n \n \nAn interdisciplinary collaboration generates an advanced model of the human gastrointestinal tract with broad applications for disease research and regenerative medicine.
\n \n\n\n \n 25 November 2020\n \n
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\n \n\n \n \n \nA multidisciplinary team of researchers has developed a deep-learning framework for improving endoscopy to aid cancer detection.
\n \n\n\n \n 26 October 2020\n \n
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\n \n\n \n \n \nTwo Ludwig Oxford group leaders present their work at this year\u2019s virtual gathering of the Oxford cancer community.
\n \n\n\n \n 29 April 2020\n \n
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\n \n\n \n \n \nLudwig Oxford Branch Director Xin Lu has been elected as a Fellow of the Royal Society for her contributions to cancer biology.
\n \n\n\n \n 22 January 2020\n \n
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\n \n\n \n \n \nLudo Buti and colleagues in Xin Lu\u2019s research group find a path that could reduce colonisation of human stomach cells by the cancer-causing bacteria, Helicobacter pylori.
\n \n\n\n \n 19 October 2018\n \n
\n\n \n\n \n\n \n \n \n \n Lu\n \n \n \n \n Schuster-B\u00f6ckler\n \n \n\n \n\n\n
\n \n\n \n \n \n \n \n\n\n \n 22 March 2018\n \n
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\n \n\n \n \n \nThe sequencing of RNA from individual cells is an increasingly used, powerful method for studying cellular heterogeneity. However, the analysis of single-cell RNA-seq is limited due to the high technical variability between experiments and the inability to perform true technical replicates on the same cell. David Severson and colleagues from the labs of Benjamin Schuster-B\u00f6ckler and Xin Lu have developed a new algorithm, BEARscc, published in Nature Communications, which uses simulation to improve the biological interpretation of single-cell RNA-seq experiments.
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