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STAT+: Former Stanford president releases emails to rebut fraud and cover-up allegations in new book

STAT+: Former Stanford president releases emails to rebut fraud and cover-up allegations in new book

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Three years after a closely watched research misconduct investigation of Stanford’s then-president, Marc Tessier-Lavigne, led to his resignation, the prominent neuroscientist revealed new details this week from his research and travel in an attempt to refute allegations that he published fraudulent results and orchestrated a cover-up. 

These allegations found new life this year with the release of “How to Rule the World,” a book by former Stanford Daily reporter Theo Baker, who presents Tessier-Lavigne as a case study in Silicon Valley’s culture of corner-cutting. A key part of that story revolves around a major paper on neurodegeneration that Tessier-Lavigne co-authored in 2009, while he was a top scientist at the South San Francisco biotech Genentech.

The former university head on Wednesday posted a more than 3,000-word response to the book on his Stanford lab website, alongside emails with former colleagues meant to bolster his defense of the study, published in the journal Nature. 

Continue to STAT+ to read the full story…

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AI, Machine Learning & Computational Biology

Flagship joins three biotechs together to form Etcelera

Flagship Pioneering has formed a new AI-focused biotech company, called Etcelera, by combining the platforms of three firms from its portfolio.

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Flagship joins three biotechs together to form Etcelera
Flagship Pioneering has formed a new AI-focused biotech company, called Etcelera, by combining the platforms of three firms from its portfolio.
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AI, Machine Learning & Computational Biology

What a cancer survivor sees that AI could miss in trial design

Parexel’s Stacy Hurt draws on her experience with chemotherapy and as a caregiver to spot patient burdens that AI-assisted protocol design can overlook.

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What a cancer survivor sees that AI could miss in trial design

Parexel’s Stacy Hurt draws on her experience with chemotherapy and as a caregiver to spot patient burdens that AI-assisted protocol design can overlook.

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AI, Machine Learning & Computational Biology

Single-Cell Multiomics: Phenotypic Plasticity in Colorectal Cancer Metastasis

In this GEN webinar, Mirjana Efremova, PhD (Queen Mary University of London) will show how these technologies can be used to analyze primary and liver-metastatic CRC patient samples to reveal cancer cell states.

The post Single-Cell Multiomics: Phenotypic Plasticity in Colorectal Cancer Metastasis appeared first on GEN – Genetic Engineering and Biotechnology News.

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Single-Cell Multiomics: Phenotypic Plasticity in Colorectal Cancer Metastasis

Panelists:

Image of Mirjana Efremova, PhD

Mirjana Efremova, PhD

Senior Lecturer
Queen Mary University of London

Panelist

Image of Mirjana Efremova, PhD

Mirjana Efremova, PhD

Mirjana Efremova earned a PhD in computational biology at the Medical University of Innsbruck, Austria, where she investigated the process of clonal evolution of cancer under immunosurveillance and how the immune system shapes tumor progression. She did her post-doctoral work at the Teichmann Lab, Wellcome Sanger Institute, where she co-led the development of the first human atlas of the maternal-fetal interface in early pregnancy using single cell transcriptomics. She also developed a cell-cell communication statistical framework CellPhoneDB (www.cellphonedb.org) for predicting enriched receptor-ligand pairs between the different cell types and inference of cellular communication networks.  In May 2020, she started a lab at Barts Cancer Institute, Queen Mary University of London (U.K.) within the Centre for Cancer Evolution. Her lab is focused on investigating the non-genetic mechanisms driving cancer initiation, metastasis, and therapy resistance.

Broadcast Date: 
  • Time: 

Phenotypic plasticity—the ability of tumor cells to switch states in response to their environment—drives colorectal cancer (CRC) progression, metastasis, and therapy resistance, but what controls it has been unclear. The application of single-cell multiomics and spatial transcriptomics in primary and metastatic tumor samples can reveal regenerative and inflammatory cancer cell states.

In this GEN webinar, Mirjana Efremova, PhD (Queen Mary University of London) will show how these technologies can be used to analyze primary and liver-metastatic CRC patient samples to reveal cancer cell states. These regenerative and inflammatory cancer cell states resemble metastasis-initiating cells in mouse models, are regulated by the transcription factors AP-1 and NF-κB, and sit at the invasive edge in an immunosuppressive niche. Improved understanding of these microenvironment-driven states and their regulators offers researchers new ways to target metastasis.

Webinar attendees will learn more about:

  • The regenerative and inflammatory cancer cell states found in primary and metastatic CRC, including a hybrid regenerative/stem state, and how liver metastases re-establish the primary tumor’s heterogeneity;
  • Transcriptional regulation of these states as well as signals from fibroblasts, macrophages, and T cells, and where the states sit in the tumor; and
  • How to apply single-cell multiomics and spatial transcriptomics to link cell state, regulation, and tissue location, and identify candidate targets to limit plasticity and metastasis.

A live Q&A session will follow the presentation offering you a chance to pose questions to our expert panelists.

Produced with support from:

10x Genomics logo

The post Single-Cell Multiomics: Phenotypic Plasticity in Colorectal Cancer Metastasis appeared first on GEN - Genetic Engineering and Biotechnology News.

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