Heterogeneity is an intrinsic characteristic of cancer. Even in isogenic tumors, cell populations exhibit differential cellular programs that overall supply malignancy and decrease treatment efficiency. In this study, we investigated the functional relationship among cell subtypes and how this interdependency can promote tumor development in a cancer cell line. To do so, we performed single-cell RNA-seq of MCF7 Multicellular Tumor Spheroids as a tumor model. Analysis of single-cell transcriptomes at twotime points of the spheroid growth, allowed us to dissect their functional relationship. As a result, three major robust cellular clusters, with a non-redundant complementary composition, were found. Meanwhile, one cluster promotes proliferation, others mainly activate mechanisms to invade other tissues and serve as a reservoir population conserved over time. our results provide evidence to see cancer as a systemic unit that has cell populations with task stratification with the ultimate goal of preserving the hallmarks in tumors. Cancer studies have established that tumors are complex and heterogeneous systems. These properties are grounded on genetic variations and diverse microenvironmental conditions that induce sizable differences in gene expression profiles, surface biomarkers, metabolism, growth rates, morphology, metastatic potential and response to therapy at a single cell level 1,2. From a clinical point of view, intratumoral (inside tumors) and intertumoral (between tumors) heterogeneity are critical factors that influence diagnosis outcomes and treatments in patients 1,3. Given their relevance, the understanding of tumor heterogeneity has emerged as a fundamental aim to improve treatment efficiency 4. To portray cancer intratumoral heterogeneity in human tissues, tumor microenvironment and their cellular population have been depicted in genome atlases for different cancer types 5-7. Notwithstanding the relevance of these atlases, big challenges into experimental designs come across to survey heterogeneity in human biopsies. For instance, proper cell dissociation methods must be implemented to reduce the risk of altering the transcriptional landscape 8. Additionally, it is hard to trace tumor dynamics due to invasive procedures and the inherent risk to patients 9. Interestingly, to overcome previous limitations, xenograft and organoid models have been used to emulate the temporal and three-dimensional organization of complex cell populations 10. On the other hand, intratumoral heterogeneity is an intricate property that influences even isogenic models providing complementary prosurvival functional roles, called functional heterogeneity 11,12. Functional heterogeneity is hard to be evaluated in the previously described models because of tumor complex interactions 9. To get the functional heterogeneity basics and design optimal treatments to overcome cancer, in vitro studies are the
Background: Astrocytomas are cancer tumors of the central nervous system and represent the most common type of solid tumors during human childhood. In 2016, the World Health Organization established a molecular classification system to regroup tumor entities to achieve a more accurate diagnosis and a better clinical decision-making and selection of treatment in patients with these types of tumors. Methods: We evaluated a genotyping assay for rapid and cost-effective mutation detection in astrocytomas using TaqMan probes in an asymmetric polymerase chain reaction (PCR) assay. Results: Four diffuse astrocytomas (Grade II), three anaplastic astrocytomas (Grade III), and four glioblastomas (Grade IV) were sequenced, and all of them displayed the wild-type (WT) sequence. We tried to set up this melting analysis for the genotyping of pediatric astrocytomas by identifying the specific melting temperatures of the TaqMan probes due to the presence of the WT sequences in the isocitrate dehydrogenase 1 and 2 (IDH1 and IDH2) and H3.3 histone A genes (H3F3A). We used an IDH1-Ta-qMan probe to identify the WT status of IDH1 in two different WT deoxyribonucleic acid (DNA) templates (pilocytic and diffuse astrocytoma) and obtained four melting temperature values ranged from 65.6 to 92.2°C. Furthermore, only four out of 29 reactions displayed amplification of the DNA template. Sanger sequencing was faster and more reliable to detect the gene status in all the sequenced samples. Conclusions: We conclude that conventional Sanger sequencing remains the gold standard for the genotyping of pediatric astrocytomas.
CTCF is an architectonical protein that organizes the genome inside the cell nucleus in almost all eukaryotic cells. There is evidence that CTCF plays a critical role during spermatogenesis as its depletion produces abnormal sperm and infertility. However, the defects produced by the absence of CTCF throughout spermatogenesis have not been characterized. In this work, we performed single cell RNA sequencing in spermatogenic cells without CTCF. We uncovered defects in transcriptional programs that explain the severity of the damage in the produced sperm. At early stages of spermatogenesis, transcriptional alterations are mild. As germ cells go throughout the specialization stage or spermiogenesis, transcriptional profiles become more altered. We found spermatid defects that support the alterations in the transcriptional profiles, and thus we conclude that CTCF depletion alters several transcriptional profiles mostly during spermiogenesis. Our data highlights the importance of CTCF at the different stages of spermatogenesis.
CTCF is an architectonic protein that organizes the genome inside the nucleus in almost all eukaryotic cells. There is evidence that CTCF plays a critical role during spermatogenesis as its depletion produces abnormal sperm and infertility. However, defects produced by its depletion throughout spermatogenesis have not been fully characterized. In this work, we performed single cell RNA sequencing in spermatogenic cells with and without CTCF. We uncovered defects in transcriptional programs that explain the severity of the damage in the produced sperm. In the early stages of spermatogenesis, transcriptional alterations are mild. As germ cells go through the specialization stage or spermiogenesis, transcriptional profiles become more altered. We found morphology defects in spermatids that support the alterations in their transcriptional profiles. Altogether, our study sheds light on the contribution of CTCF to the phenotype of male gametes and provides a fundamental description of its role at different stages of spermiogenesis.
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