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CompCancer Seminar 02.02.2022 - Elias Rodríguez Fos

The upcoming CompCancer Seminar will be hosted by Madalina Giurgiu. Find the invitation below. The link is available from compcancer at charite dot de.

Dear all,

I would like to announce the next CompCancer Literature Seminar on Wednesday, 2nd February, at 11 am.

Our invited guest speaker is Elias Rodríguez Fos (PhD), an expert on complex structural rearrangements and somatic mutational patterns analysis. In this seminar, Elias will give a comprehensive introduction on mutational signatures and complex rearrangements in cancer, taking neuroblastoma, one of the most common pediatric malignancies, as an example. Further, he will show how we identified the mutational processes active in the development of this tumor and evaluate their impact on patients' clinical outcome.

Topic: Analyses of mutational signatures and complex rearrangements in cancer.  Understanding the mutational processes involved in neuroblastoma development and their clinical implications.

Abstract:
The activity of different endogenous and/or exogenous mutational processes, including replication errors, exposure to DNA damaging agents, and errors in DNA repair mechanisms, imprint characteristic patterns of mutations in the genome defined as mutational signatures. Recent analyses in multiple cancer types have extracted different mutational signatures associated with single-nucleotide variants, small insertions and deletions, copy number alterations, and patterns of structural variants involving multiple genomic regions such as extrachromosomal circular DNA, chromothripsis, and breakage-fusion-bridge cycles, amongst others. Some of these signatures are linked to known biological processes active in cancer, whereas others have yet unknown etiologies.
 

Elias's Bio:

Elias Rodriguez-Fos received his B.Sc. degree in Biology from the Universitat Autònoma de Barcelona (UAB), and his M.Sc. degree in Genetics and Genomics from the Universitat de Barcelona (UB). In 2020, he obtained his Ph.D. degree in Bioinformatics from the Universitat de Barcelona, studying the role of complex rearrangements in cancer at the computational genomics group, led by Dr. David Torrents in the Barcelona Supercomputing Center (BSC). During his Ph.D., he contributed to describing the role of extrachromosomal circular DNA as a genome remodeler. Currently, he is working as a Humboldt postdoctoral fellow in Dr. Anton Henssen's and Dr. Johannes Schulte's labs at the Charité/MDC in Berlin. His research focuses on the analysis of somatic mutational patterns from all variant classes, including complex structural variants, in neuroblastoma.

Feel free to share this link with anyone else who could be interested.
Looking forward to seeing many of you,

Madalina

Congratulations, Dr. Tincy Simon!

On November 23rd 2021, Tincy defended her thesis “An Integrative Genetic, and Epigenetic Characterization of Pancreatic Neuroendocrine Neoplasms (PanNENs) defines Distinct Molecular Features of Endocrine- and Exocrine-like Subgroups”.

 

In her work, Tincy analyzed how two sub-entities of PanNENs – so called PanNETs and PanNECs, differ in their DNA methylation patterns and other molecular features. This is important, as high-grade PanNETs are often hard to distinguish from PanNECs by classical morphological analyses used in pathology, yet have a different prognosis and response to specific therapies. Further, Tincy’s work addresses the cell-of-origin of either entity.

 

 

CompCancer Seminar 15.09.2021 - Louis Cammarata and Adit Radhakrishnan

The upcoming CompCancer Seminar will be hosted by Stefan Peidli. Find the invitation below. The link is available from compcancer at charite dot de.

Dear all,

I'm excited to announce next weeks CompCancer Literature Seminar (Wednesday 15.09.) with Louis Cammarata and Adit Radhakrishnan from the lab of Caroline Uhler. 

Due to different time zones, the seminar will be at 5pm instead of 10am.

Louis and Adit will introduce us to overparametrized autoencoders and present their latest work where they developed a causal drug repurposing pipeline. This pipeline first identifies relevant drug responses in the latent space of an overparametrized autoencoder fed with drug perturbation data from e.g. CMap. In the paper, they applied their pipeline for drug repurposing against COVID-19.

Best,

Stefan

 

Matthias Fischer shared his work on bioRxiv:

Maintaining and escaping feedback control in hierarchically organised tissue: a case study of the intestinal epithelium

Matthias M. Fischer, Hanspeter Herzel, and Nil Blüthgen

doi: https://doi.org/10.1101/2021.06.11.448040

Abstract

The intestinal epithelium is one of the fastest renewing tissues in mammals with an average turnover time of only a few days. It shows a remarkable degree of stability towards external perturbations such as physical injuries or radiation damage. Tissue renewal is driven by intestinal stem cells, and differentiated cells can de-differentiate if the stem cell niche is lost after tissue damage. However, self-renewal and regeneration require a tightly regulated balance to uphold tissue homoeostasis, and failure can lead to tissue extinction or to unbounded growth and cancerous lesions. Here, we present a mathematical model of intestinal epithelium population dynamics that is based on the current mechanistic understanding of the underlying biological processes. We derive conditions for stability and thereby identify mechanisms that may lead to loss of homoeostasis. A key results is the existence of specific thresholds in feedbacks after which unbounded growth occurs, and a subsequent convergence of the system to a stable ratio of stem to non-stem cells. A biologically interesting property of the model is that the number of differentiated cells at the steady-state can become invariant to changes in their apoptosis rate. Moreover, we compare alternative mechanisms for homeostasis with respect to their recovery dynamics after perturbation from steady-state. Finally, we show that de-differentiation enables the system to recover more gracefully after certain external perturbations, which however makes the system more prone to loosing homoeostasis.

https://www.biorxiv.org/content/10.1101/2021.06.11.448040v1

CompCancer Seminar 02.06.2021 - Bernd Bodenmiller

The upcoming CompCancer Seminar will be hosted by Bettina Schmidt. Find the invitation below. The link is available from compcancer at charite dot de.

Dear PI's and fellow students,

in our next CompCancer seminar on Wednesday, 2nd of June at 10 AM, please welcome Bernd Bodenmiller, who will talk about his newly published paper (19.5.21, Cell Systems) https://www.sciencedirect.com/science/article/pii/S2405471221001113 on drug-sensitivity prediction based on signaling pathways in breast cancer.

It is interesting for you if you work on

#signaling pathways  #CyTOF  #drug-sensitivity prediction #bigdata #MANOVA #precision medicine

and I'm sure many different things that I did not capture. Feel free to forward this information to people who could be interested

Summary

One goal of precision medicine is to tailor effective treatments to patients’ specific molecular markers of disease. Here, we used mass cytometry to characterize the single-cell signaling landscapes of 62 breast cancer cell lines and five lines from healthy tissue. We quantified 34 markers in each cell line upon stimulation by the growth factor EGF in the presence or absence of five kinase inhibitors. These data—on more than 80 million single cells from 4,000 conditions—were used to fit mechanistic signaling network models that provide insight into how cancer cells process information. Our dynamic single-cell-based models accurately predicted drug sensitivity and identified genomic features associated with drug sensitivity, including a missense mutation in DDIT3 predictive of PI3K-inhibition sensitivity. We observed similar trends in genotype-drug sensitivity associations in patient-derived xenograft mouse models. This work provides proof of principle that patient-specific single-cell measurements and modeling could inform effective precision medicine strategies.

See you then,

Bettina

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About

The research training group CompCancer (RTG2424) is a DFG funded PhD programme in Berlin, focussing on computational aspects of cancer research.

Contact: compcancer at charite dot de