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Biology subjects

Simon, F.

Publications and source records attributed to Simon, F..

23 records · Page 2Linked to original sources

ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks

Single-particle tracking microscopy is a powerful technique to investigate how proteins dynamically interact with their environment in live cells. However, the analysis of tracks is confounded by noisy molecule localization, short tracks, and rapid transitions between different motion states, notably between immobile and diffusive states. Here, we propose a probabilistic method termed ExTrack that uses the full spatio-temporal information of tracks to extract global model parameters, to calculate state probabilities at every time point, to reveal distributions of state durations, and to refine the positions of bound molecules. ExTrack works for a wide range of diffusion coefficients and transition rates, even if experimental data deviate from model assumptions. We demonstrate its capacity by applying it to slowly diffusing and rapidly transitioning bacterial envelope proteins. ExTrack greatly increases the regime of computationally analyzable noisy single-particle tracks. The ExTrack package is available in ImageJ and Python.

biophysics↗

A comprehensive series of temporal transcription factors in the fly visual system

The brain consists of thousands of different neuronal types that are generated through multiple divisions of neuronal stem cells. These stem cells have the capacity to generate different neuronal types at different stages of their development. In Drosophila, this temporal patterning is driven by the successive expression of temporal transcription factors (tTFs). While a number of tTFs are known in different animals and across various parts of the nervous system, these have been mostly identified by informed guesses and antibody availability. We used single-cell mRNA sequencing to identify the complete series of tTFs that specify most Drosophila medulla neurons in the optic lobe. We tested the genetic interactions among these tTFs. While we verify the general principle that tTFs regulate the progression of the series by activating the next tTFs in the series and repressing the previous ones, we also identify more complex regulations. Two of the tTFs, Eyeless and Dichaete, act as hubs integrating the input of several upstream tTFs before allowing the series to progress and in turn regulating the expression of several downstream tTFs. Moreover, we show that tTFs not only specify neuronal identity by controlling the expression of cell type-specific genes. Finally, we describe the very first steps of neuronal differentiation and find that terminal differentiation genes, such as neurotransmitter-related genes, are present as transcripts, but not as proteins, in immature larval neurons days before they are being used in functioning neurons; we show that these mechanisms are conserved in humans. Our results offer a comprehensive description of a temporal series of tTFs in a neuronal system, offering mechanistic insights into the regulation of the progression of the series and the regulation of neuronal diversity. This represents a proof-of-principle for the use of single-cell mRNA sequencing for the comparison of temporal patterning across phyla that can lead to an understanding of how the human brain develops and how it has evolved.

developmental biology↗

Partial epithelial-to-mesenchymal transition is prognostic and associates with Slug in head and neck cancer

Therapy resistance leading to local recurrence and metastases remains highly problematic in head and neck squamous cell carcinomas (HNSCC). Single cell RNA-sequencing defined a partial epithelial-to-mesenchymal transition (p-EMT) signature associated with metastases in HNSCC. However, the prognostic value of the p-EMT signature and potential drivers of p-EMT in HNSCC remain unclear. Here, single sample scoring of molecular phenotypes (Singscoring) served to establish clinical p-EMT-Singscores that were significantly associated with nodal metastases and predicted overall survival in two independent HNSCC cohorts. p-EMT-Singscores correlated most strongly with EMT transcription factor (EMT-TF) Slug. In vitro, Slug promoted p-EMT, enhanced invasion, and resistance to irradiation. In patients, Slug protein levels in tumors predicted disease-free survival and its peripheral expression at the interphase to tumor-microenvironment was significantly increased in recurring patients. Thus, p-EMT represents a novel clinical risk-predictor that impacts on HNSCC patients outcome and is partly controlled by Slug.

cancer biology↗

Transpeptidase PBP2 governs initial localization and activity of major cell-wall synthesis machinery in Escherichia coli

Bacterial shape is physically determined by the peptidoglycan cell wall. The cell-wall-synthesis machinery responsible for rod shape in Escherichia coli is the processive Rod complex. Previously, cytoplasmic MreB filaments were thought to govern formation and localization of Rod complexes based on local cell-envelope curvature. However, using single-particle tracking of the transpeptidase PBP2, we found strong evidence that PBP2 initiates new Rod complexes by binding to a substrate different from MreB or any known Rod-complex component. This substrate is likely the cell wall. Consistently, we found only weak correlations between MreB and envelope curvature in the cylindrical part of cells. Residual correlations do not require any curvature-based Rod-complex initiation but can be attributed to persistent rotational motion. Therefore, local cell-wall architecture likely provides the cue for PBP2 binding and subsequent Rod-complex initiation. We also found that PBP2 has a limiting role for Rod-complex activity, thus supporting its central role.

microbiology↗

The BTB-ZF transcription factor Tramtrack 69 shapes neural cell lineages by coordinating cell proliferation and cell fate

Cell diversity in multicellular organisms relies on coordination between cell proliferation and the acquisition of cell identity. The equilibrium between these two processes is essential to assure the correct number of determined cells at a given time at a given place. Here, we show that Tramtrack-69 (Ttk69, a BTB-ZF transcription factor ortholog of the human PLZF factor) plays an essential role in controlling this balance. In the Drosophila bristle cell lineage, producing the external sensory organs composed by a neuron and accessory cells, we show that ttk69 loss of function leads to supplementary neural-type cells at the expense of accessory cells. Our data indicate that Ttk69 (1) promotes cell-cycle exit of newborn terminal cells by downregulating cycE, the principal cyclin involved in S-phase entry and (2) regulates cell fate acquisition and terminal differentiation by downregulating the expression of hamlet and upregulating that of Suppressor of Hairless, two transcription factors involved in neural-fate acquisition and accessory-cell differentiation, respectively. Thus, Ttk69 plays a central role in shaping neural cell lineages by integrating molecular mechanisms that regulate progenitor cell-cycle exit and cell-fate commitment.\n\nSummary statementTramtrack-69, a transcription factor orthologous to the human tumor-suppressor PLZF, plays a central role in precursor cell lineages by integrating molecular mechanisms that regulate progenitor cell-cycle exit and cell-fate determination.

developmental biology↗