Biology subjects

Grimm, F.

Publications and source records attributed to Grimm, F..

5 recordsLinked to original sources

bioRxiv2023

GOT1 primes the cellular response to hypoxia by supporting glycolysis and HIF1α stabilisation

Adaptation to chronic hypoxia occurs through changes in protein expression, which are controlled by hypoxia inducible factor 1a (HIF1) and are necessary for cancer cell survival. However, the mechanisms that enable cancer cells to adapt in early hypoxia, prior to full activation of HIF1, remain poorly understood. Here we show that aspartate transaminase 1 (GOT1), which supports NAD+ production by malate dehydrogenase 1 (MDH1), is required, in addition to reserve lactate dehydrogenase (LDH) capacity, for the HIF1-independent increase in glycolysis we observe early upon exposure of cells to hypoxia. Additionally, GOT1 maintains low -ketoglutarate levels, thereby limiting prolyl hydroxylase activity to promote HIF1 stabilisation in early hypoxia and robust HIF1 target gene expression in later hypoxia. Our findings reveal that, in normoxia, GOT1 maintains cells in a primed state and ready to support increased glycolysis and HIF1 stabilisation upon oxygen limitation, until other adaptive processes that require more time, are fully established.

cancer biology↗

bioRxiv2023

Immortalization and transformation of primary cells mediated by engineered ecDNAs

Focal gene amplifications are among the most common cancer-associated mutations, but their evolution and contribution to tumorigenesis have proven challenging to recapitulate in primary cells and model organisms. Here we describe a general approach to engineer large (>1 Mbp) focal amplifications mediated by extrachromosomal circular DNAs (ecDNAs, also known as "double minutes") in a spatiotemporally controlled manner in cancer cell lines and in primary cells derived from genetically engineered mice. With this strategy, ecDNA formation can be coupled with expression of fluorescent reporters or other selectable markers to enable the identification and tracking of ecDNA-containing cells. We demonstrate the feasibility of this approach by engineering MDM2-containing ecDNAs in near-diploid human cells, showing that GFP expression can be used to track ecDNA dynamics under physiological conditions or in the presence of specific selective pressures. We also apply this approach to generate mice harboring inducible Myc- and Mdm2-containing ecDNAs analogous to those spontaneously occurring in human cancers. We show that the engineered ecDNAs rapidly accumulate in primary cells derived from these animals, promoting proliferation, immortalization, and transformation.

cancer biology↗

bioRxiv2022

Two-color live-cell STED nanoscopy by click labeling with cell-permeable fluorophores

STED nanoscopy allows for the direct observation of dynamic processes in living cells and tissues with diffraction-unlimited resolution. Although fluorescent proteins can be used for STED imaging, these labels are often outperformed in photostability by organic fluorescent dyes. This feature is especially crucial for time-lapse imaging. Unlike fluorescent proteins, organic fluorophores cannot be genetically fused to a target protein but require different labeling strategies. To achieve simultaneous imaging of more than one protein in the interior of the cell with organic fluorophores, bioorthogonal labeling techniques and cell-permeable dyes are required. In addition, the fluorophores should preferentially emit in the red spectral range to reduce potential phototoxic effects that can be induced by the STED light, which further restricts the choice of suitable markers. Here we demonstrate two-color STED imaging of living cells using various pairs of dyes that fulfill all of the above requirements. To this end, we combine click-chemistry-based protein labeling with other orthogonal and highly specific labeling methods, enabling long-term STED imaging of different target structures in living specimens.

biophysics↗

bioRxiv2020

A bead-based method for the removal of the amino acid lysine from cell-free transcription-translation systems

Cell-free transcription-translation systems are a versatile tool to study gene expression, enzymatic reactions and biochemical regulation mechanisms. Because cell-free transcription-translation systems are often derived from cell lysates, many different substances, among them amino acids, are present. However, experiments concerning the incorporation of non-canonical amino acids into proteins require a system with negligible amounts of canonical analogs. Here we propose a two-step method for the removal of residual free lysine in an all Escherichia coli-based cell-free expression system. The first step consists of the expression of a high-lysine dummy protein. The second step consists of direct removal via binding between lysine and DNA. The presented method is an efficient, fast and simple way to remove residual lysine without altering the system ability to perform gene expression.

molecular biology↗

bioRxiv2019

Pre-stress and cortical stiffness affect fluidity of living cells

Shape, dynamics, and viscoelastic properties of eukaryotic cells are primarily governed by a thin, reversibly cross-linked actomyosin cortex located directly beneath the plasma membrane. We obtain time-dependent rheological responses of fibroblasts and MDCK II cells from deformation-relaxation curves using an atomic force microscope to access the dependence of cortex fluidity on pre-stress. We introduce a viscoelastic model that treats the cell as a composite shell and assumes that relaxation of the cortex follows a power law giving access to cortical pre-stress, area compressibility modulus, and the power law (fluidity) exponent. Cortex fluidity is modulated by interfering with myosin activity. We find that the power law exponent of the cell cortex decreases with increasing intrinsic pre-stress and area compressibility modulus, in accordance with previous finding for isolated actin networks subject to external stress. Extrapolation to zero tension returns the theoretically predicted power law exponent for transiently cross-linked polymer networks. In contrast to the widely used Hertzian mechanics, our model provides viscoelastic parameters independent of indenter geometry and compression velocity.

biophysics↗