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Biology subjects

Soliman, T.

Publications and source records attributed to Soliman, T..

3 recordsLinked to original sources

Tracking genome evolution in single cell clones reveals the rates and features of copy number alterations generated by ongoing chromosomal instability in cancer.

Cancer genomes exhibit extensive chromosomal alterations caused by ongoing Chromosomal Instability (CIN). The ensuing cell-cell heterogeneity facilitates evolution and cancer cell plasticity that can drive therapy resistance, yet cancer CIN driver mechanisms remain essentially uncharacterised. This lack of knowledge presents an untapped opportunity to target vulnerabilities associated with ongoing CIN for therapy. Existing methods to investigate the cellular mechanisms responsible for CIN rely on laborious functional assays, or inference from genomic alteration patterns from sequencing data. Current bulk sequencing derived copy number alteration pattern signatures lack the cell-cell resolution that would reveal recent genomic alterations caused by CIN. Large-scale single cell sequencing of cancer cell populations is now emerging. However, it is not known whether the effects of selection still obscure the spectrum of genomic alterations caused by recent CIN. To address this, we employed a single-cell whole-genome sequencing (scWGS) clonal outgrowth technique, that allows us to track the real-time evolution of cancer genomes at the single-cell level. Single cancer cells surprisingly re-establish heterogeneity that matches their parental population within [~]22 generations. By comparing the features of copy number alterations at different evolutionary timepoints we reveal that some alteration types are likely under negative selection and are thus only apparent in the most recent cell divisions, and not in the parental population. In one cell line we identify a particular chromosome subject to recurrent chromosomal deletions, and validated that this chromosome wasinvolved frequently in mis-segregation events during anaphase using fluorescence In-Situ hybridisation.

cancer biology↗

Preliminary genetic assessment of three goatfish species in the Mediterranean Sea

We examined genetic diversity and connectivity of two indigenous Mediterranean goatfish species (Mullus barbatus and M. surmuletus), and a Lessepsian migrant species (Upeneus moluccensis), across the Nile Delta outflow using two mitochondrial DNA markers (COI and cyt b). Genetic diversity was high for the two Mediterranean species but relatively lower for the migrant species, suggesting founder effects after invasion from the Red Sea. Confirmation of this hypothesis, however, would require comparison with populations of origin in the Red Sea and the Indo-West Pacific. AMOVA and network analyses revealed no genetic partitioning for all species, indicating the Nile outflow does not currently, and may not have historically, posed a significant barrier to larval dispersal in these goatfish despite a present-day temperature and salinity gradient along the Mediterranean coastline of Egypt.

genetics↗

Transcriptome analysis for the development of cell-type specific labeling to study olfactory circuits

In each sensory system of the brain, mechanisms exist to extract distinct features from stimuli to generate a variety of behavioural repertoires. These often correspond to different cell types at some stage in sensory processing. In the mammalian olfactory system, complex information processing starts in the olfactory bulb, whose output is conveyed by mitral and tufted cells (MCs and TCs). Despite many differences between them, and despite the crucial position they occupy in the information hierarchy, little is known how these two types of projection neurons differ at the mRNA level. Here, we sought to identify genes that are differentially expressed between MCs and TCs, with an ultimate goal to generate a cell-type specific Cre-driver line, starting from a transcriptome analysis using a large and publicly available single-cell RNA-seq dataset (Zeisel et al., 2018). Despite many genes showing differential expressions, we identified only a few that were abundantly and consistently expressed only in MCs. After further validating these putative markers using in-situ hybridization, two genes, namely Pkib and Lbdh2, remained as promising candidates. Using CRISPR/Cas9-mediated gene editing, we generated Cre-driver lines and analysed the resulting recombination patterns. This analysis indicated that our new inducible Cre-driver line, Lbhd2-CreERT2, can be used to genetically label MCs in a tamoxifen dose-dependent manner, as assessed by soma locations, projection patterns and sensory-evoked responses. Hence this line is a promising tool for future investigations of cell-type specific contributions to olfactory processing and demonstrates the power of publicly accessible data in accelerating science.

neuroscience↗