scholarly journals Tissue specificity of rat mitochondrial dimethylglycine dehydrogenase expression

1994 ◽  
Vol 299 (2) ◽  
pp. 393-398 ◽  
Author(s):  
H Lang ◽  
K Minaian ◽  
N Freudenberg ◽  
R Hoffmann ◽  
R Brandsch
Keyword(s):  
Liver Cell ◽  
Developmental Stages ◽  
Cell Types ◽  
Western Blots ◽  
Ito Cells ◽  
Proximal Tubule Cells ◽  
Total Rna ◽  
Liver And Kidney ◽  
High Level ◽  
Predominant Expression

Expression of mitochondrial dimethylglycine dehydrogenase (Me2GlyDH) was analysed in various tissues, liver cell types and developmental stages of the rat. Total RNA extracted from liver, spleen, brain, kidney, lung and heart was reverse-transcribed into cDNA and amplified with Me2GlyDH cDNA-specific oligonucleotides by PCR. Expression of the enzyme was observed mainly in liver and kidney. In addition, Me2GlyDH mRNA could be demonstrated in total RNA samples of lung, heart and brain but was barely detectable in spleen total RNA. In RNA prepared from 14-day rat embryos, Me2GlyDH-specific mRNA was clearly present. Among various liver cell types, besides hepatocytes, endothelial cells showed a high level of Me2GlyDH mRNA expression. There was no amplification product detectable in liver macrophages (Kupffer cells) and only a very faint one in fat-storing cells (Ito cells). Western blots confirmed at the protein level the predominant expression of the enzyme in liver and kidney, but Me2GlyDH protein was also present in the protein extract of lung, heart, spleen and brain. Immunohistochemical staining of liver slices with Me2GlyDH-specific antiserum revealed that expression of this enzyme is evenly distributed throughout the liver tissue. In the kidney, expression of the enzyme was located in the proximal tubule cells. Our results demonstrate that, contrary to the previously assumed liver-restricted expression, this enzyme is specifically expressed predominantly in the liver and kidney, but, in addition, it is detectable in many other tissues of the rat.

scholarly journals Zika Virus Infection Leads to Demyelination and Axonal Injury in Mature CNS Cultures

Viruses ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 91
Author(s):  
Verena Schultz ◽  
Stephanie L. Cumberworth ◽  
Quan Gu ◽  
Natasha Johnson ◽  
Claire L. Donald ◽  
...  
Keyword(s):  
Nervous System ◽  
Neural Development ◽  
Zika Virus ◽  
Developmental Stages ◽  
Cell Types ◽  
Neural Cells ◽  
Zikv Infection ◽  
Axonal Pathology ◽  
Time Frames

Understanding how Zika virus (Flaviviridae; ZIKV) affects neural cells is paramount in comprehending pathologies associated with infection. Whilst the effects of ZIKV in neural development are well documented, impact on the adult nervous system remains obscure. Here, we investigated the effects of ZIKV infection in established mature myelinated central nervous system (CNS) cultures. Infection incurred damage to myelinated fibers, with ZIKV-positive cells appearing when myelin damage was first detected as well as axonal pathology, suggesting the latter was a consequence of oligodendroglia infection. Transcriptome analysis revealed host factors that were upregulated during ZIKV infection. One such factor, CCL5, was validated in vitro as inhibiting myelination. Transferred UV-inactivated media from infected cultures did not damage myelin and axons, suggesting that viral replication is necessary to induce the observed effects. These data show that ZIKV infection affects CNS cells even after myelination—which is critical for saltatory conduction and neuronal function—has taken place. Understanding the targets of this virus across developmental stages including the mature CNS, and the subsequent effects of infection of cell types, is necessary to understand effective time frames for therapeutic intervention.

scholarly journals The landscape of alternative polyadenylation in single cells of the developing mouse embryo

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Vikram Agarwal ◽  
Sereno Lopez-Darwin ◽  
David R. Kelley ◽  
Jay Shendure
Keyword(s):  
Rna Binding ◽  
Developmental Stages ◽  
Single Cells ◽  
Neuronal Cell ◽  
Alternative Polyadenylation ◽  
Cell Types ◽  
Untranslated Regions ◽  
Mammalian Development ◽  
Translation Rate ◽  
Dynamic Landscape

Abstract3′ untranslated regions (3′ UTRs) post-transcriptionally regulate mRNA stability, localization, and translation rate. While 3′-UTR isoforms have been globally quantified in limited cell types using bulk measurements, their differential usage among cell types during mammalian development remains poorly characterized. In this study, we examine a dataset comprising ~2 million nuclei spanning E9.5–E13.5 of mouse embryonic development to quantify transcriptome-wide changes in alternative polyadenylation (APA). We observe a global lengthening of 3′ UTRs across embryonic stages in all cell types, although we detect shorter 3′ UTRs in hematopoietic lineages and longer 3′ UTRs in neuronal cell types within each stage. An analysis of RNA-binding protein (RBP) dynamics identifies ELAV-like family members, which are concomitantly induced in neuronal lineages and developmental stages experiencing 3′-UTR lengthening, as putative regulators of APA. By measuring 3′-UTR isoforms in an expansive single cell dataset, our work provides a transcriptome-wide and organism-wide map of the dynamic landscape of alternative polyadenylation during mammalian organogenesis.

scholarly journals Rare genetic variants affecting urine metabolite levels link population variation to inborn errors of metabolism

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yurong Cheng ◽  
◽  
Pascal Schlosser ◽  
Johannes Hertel ◽  
Peggy Sekula ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Inborn Errors Of Metabolism ◽  
Cell Types ◽  
Population Variation ◽  
Whole Body ◽  
Sequencing Data ◽  
Inborn Errors ◽  
Data Links ◽  
Liver And Kidney ◽  
Constraint Based Modeling

AbstractMetabolite levels in urine may provide insights into genetic mechanisms shaping their related pathways. We therefore investigate the cumulative contribution of rare, exonic genetic variants on urine levels of 1487 metabolites and 53,714 metabolite ratios among 4864 GCKD study participants. Here we report the detection of 128 significant associations involving 30 unique genes, 16 of which are known to underlie inborn errors of metabolism. The 30 genes are strongly enriched for shared expression in liver and kidney (odds ratio = 65, p-FDR = 3e−7), with hepatocytes and proximal tubule cells as driving cell types. Use of UK Biobank whole-exome sequencing data links genes to diseases connected to the identified metabolites. In silico constraint-based modeling of gene knockouts in a virtual whole-body, organ-resolved metabolic human correctly predicts the observed direction of metabolite changes, highlighting the potential of linking population genetics to modeling. Our study implicates candidate variants and genes for inborn errors of metabolism.

scholarly journals Epigenetic transgenerational inheritance, Gametogenesis and Germline Development

2021 ◽  
Author(s):  
Millissia Ben Maamar ◽  
Eric E Nilsson ◽  
Michael K Skinner
Keyword(s):  
Developmental Biology ◽  
Environmental Factors ◽  
Biological System ◽  
Developmental Stages ◽  
Primordial Germ Cell ◽  
Cell Types ◽  
Transgenerational Inheritance ◽  
Germline Development ◽  
Current Review

Abstract One of the most important developing cell types in any biological system is the gamete (sperm and egg). The transmission of phenotypes and optimally adapted physiology to subsequent generations is in large part controlled by gametogenesis. In contrast to genetics, the environment actively regulates epigenetics to impact the physiology and phenotype of cellular and biological systems. The integration of epigenetics and genetics is critical for all developmental biology systems at the cellular and organism level. The current review is focused on the role of epigenetics during gametogenesis for both the spermatogenesis system in the male and oogenesis system in the female. The developmental stages from the initial primordial germ cell through gametogenesis to the mature sperm and egg are presented. How environmental factors can influence the epigenetics of gametogenesis to impact the epigenetic transgenerational inheritance of phenotypic and physiological change in subsequent generations is reviewed.

scholarly journals Identification of polycomb repressive complex 1 and 2 core components in hexaploid bread wheat

2020 ◽  
Vol 20 (S1) ◽  
Author(s):  
Beáta Strejčková ◽  
Radim Čegan ◽  
Ales Pecinka ◽  
Zbyněk Milec ◽  
Jan Šafář
Keyword(s):  
Bread Wheat ◽  
Developmental Stages ◽  
Gene Families ◽  
Polycomb Group ◽  
Transcriptional Analysis ◽  
Histone H2a ◽  
Polycomb Repressive Complex ◽  
Core Components ◽  
High Level ◽  
Polycomb Repressive Complex 1

Abstract Background Polycomb repressive complexes 1 and 2 play important roles in epigenetic gene regulation by posttranslationally modifying specific histone residues. Polycomb repressive complex 2 is responsible for the trimethylation of lysine 27 on histone H3; Polycomb repressive complex 1 catalyzes the monoubiquitination of histone H2A at lysine 119. Both complexes have been thoroughly studied in Arabidopsis, but the evolution of polycomb group gene families in monocots, particularly those with complex allopolyploid origins, is unknown. Results Here, we present the in silico identification of the Polycomb repressive complex 1 and 2 (PRC2, PRC1) subunits in allohexaploid bread wheat, the reconstruction of their evolutionary history and a transcriptional analysis over a series of 33 developmental stages. We identified four main subunits of PRC2 [E(z), Su(z), FIE and MSI] and three main subunits of PRC1 (Pc, Psc and Sce) and determined their chromosomal locations. We found that most of the genes coding for subunit proteins are present as paralogs in bread wheat. Using bread wheat RNA-seq data from different tissues and developmental stages throughout plant ontogenesis revealed variable transcriptional activity for individual paralogs. Phylogenetic analysis showed a high level of protein conservation among temperate cereals. Conclusions The identification and chromosomal location of the Polycomb repressive complex 1 and 2 core components in bread wheat may enable a deeper understanding of developmental processes, including vernalization, in commonly grown winter wheat.

scholarly journals Spray-induced gene silencing for disease control is dependent on the efficiency of pathogen RNA uptake

2021 ◽  
Author(s):  
Lulu Qiao ◽  
Chi Lan ◽  
Luca Capriotti ◽  
Audrey Ah-Fong ◽  
Jonatan Nino Sanchez ◽  
...  
Keyword(s):  
Disease Management ◽  
Plant Disease ◽  
Plant Pathogens ◽  
Developmental Stages ◽  
Pathogenic Fungi ◽  
Cell Types ◽  
Uptake Efficiency ◽  
Fungal Plant Pathogens ◽  
Plant Disease Management ◽  
Fungal Genes

AbstractRecent discoveries show that fungi can take up environmental RNA, which can then silence fungal genes through environmental RNA interference. This discovery prompted the development of Spray-Induced Gene Silencing (SIGS) for plant disease management. In this study, we aimed to determine the efficacy of SIGS across a variety of eukaryotic microbes. We first examined the efficiency of RNA uptake in multiple pathogenic and non-pathogenic fungi, and an oomycete pathogen. We observed efficient double-stranded RNA (dsRNA) uptake in the fungal plant pathogens Botrytis cinerea, Sclerotinia sclerotiorum, Rhizoctonia solani, Aspergillus niger, and Verticillium dahliae, but no uptake in Colletotrichum gloeosporioides, and weak uptake in a beneficial fungus, Trichoderma virens. For the oomycete plant pathogen, Phytophthora infestans, RNA uptake was limited, and varied across different cell types and developmental stages. Topical application of dsRNA targeting virulence-related genes in the pathogens with high RNA uptake efficiency significantly inhibited plant disease symptoms, whereas the application of dsRNA in pathogens with low RNA uptake efficiency did not suppress infection. Our results have revealed that dsRNA uptake efficiencies vary across eukaryotic microbe species and cell types. The success of SIGS for plant disease management can largely be determined by the pathogen RNA uptake efficiency.

scholarly journals Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion

2022 ◽  
Vol 12 ◽  
Author(s):  
Xin Duan ◽  
Wei Wang ◽  
Minghui Tang ◽  
Feng Gao ◽  
Xudong Lin
Keyword(s):  
Metric Learning ◽  
Cell Types ◽  
Primary Objective ◽  
The Self ◽  
Cellular Heterogeneity ◽  
Clustering Methods ◽  
Local Scaling ◽  
Self Diffusion ◽  
Cell Clustering ◽  
High Level

Identifying the phenotypes and interactions of various cells is the primary objective in cellular heterogeneity dissection. A key step of this methodology is to perform unsupervised clustering, which, however, often suffers challenges of the high level of noise, as well as redundant information. To overcome the limitations, we proposed self-diffusion on local scaling affinity (LSSD) to enhance cell similarities’ metric learning for dissecting cellular heterogeneity. Local scaling infers the self-tuning of cell-to-cell distances that are used to construct cell affinity. Our approach implements the self-diffusion process by propagating the affinity matrices to further improve the cell similarities for the downstream clustering analysis. To demonstrate the effectiveness and usefulness, we applied LSSD on two simulated and four real scRNA-seq datasets. Comparing with other single-cell clustering methods, our approach demonstrates much better clustering performance, and cell types identified on colorectal tumors reveal strongly biological interpretability.

scholarly journals Seeing the Forest and Its Trees Together: Implementing 3D Light Microscopy Pipelines for Cell Type Mapping in the Mouse Brain

2022 ◽  
Vol 15 ◽  
Author(s):  
Kyra T. Newmaster ◽  
Fae A. Kronman ◽  
Yuan-ting Wu ◽  
Yongsoo Kim
Keyword(s):  
Data Analysis ◽  
Mouse Brain ◽  
Neuronal Cell ◽  
Cell Types ◽  
Developmental Time ◽  
Cell Type ◽  
Level Data ◽  
Primary Model ◽  
Resolution Mapping ◽  
High Level

The brain is composed of diverse neuronal and non-neuronal cell types with complex regional connectivity patterns that create the anatomical infrastructure underlying cognition. Remarkable advances in neuroscience techniques enable labeling and imaging of these individual cell types and their interactions throughout intact mammalian brains at a cellular resolution allowing neuroscientists to examine microscopic details in macroscopic brain circuits. Nevertheless, implementing these tools is fraught with many technical and analytical challenges with a need for high-level data analysis. Here we review key technical considerations for implementing a brain mapping pipeline using the mouse brain as a primary model system. Specifically, we provide practical details for choosing methods including cell type specific labeling, sample preparation (e.g., tissue clearing), microscopy modalities, image processing, and data analysis (e.g., image registration to standard atlases). We also highlight the need to develop better 3D atlases with standardized anatomical labels and nomenclature across species and developmental time points to extend the mapping to other species including humans and to facilitate data sharing, confederation, and integrative analysis. In summary, this review provides key elements and currently available resources to consider while developing and implementing high-resolution mapping methods.

Co-expression of insulin and somatostatin genes in pancreatic endocrine cells selected for their high level of insulin gene transcription

1992 ◽  
Vol 101 (4) ◽  
pp. 795-799
Author(s):  
C. Saulnier-Michel ◽  
M. Fromont-Racine ◽  
R. Pictet
Keyword(s):  
Endocrine Cells ◽  
Selective Pressure ◽  
Cell Types ◽  
Insulin Gene ◽  
Regulatory Sequences ◽  
Endogenous Insulin ◽  
Pancreatic Endocrine Cells ◽  
Gene Regulatory ◽  
High Level ◽  
Two Populations

RW cells are pancreatic endocrine RIN cells that have been stably transfected with a chimeric gene that places the expression of the dominant selection gpt gene under the control of the insulin gene regulatory sequences. These RW cells were examined for hormone content using immunocytochemistry. This analysis shows that: first, there are cells that are negative for insulin although they were cultured under selective pressure. Second, there is a higher proportion of somatostatin-producing cells than in the parental RIN cells; these somatostatin cells form two populations: one of cells containing only somatostatin and, surprisingly, one made of cells containing both insulin and somatostatin. Thus: (1) expression of the transfected and endogenous insulin regulatory sequences is not regulated in a coordinate fashion; (2) the presence of both hormones in the same cell suggests that the regulation of the expression of insulin and somatostatin genes and the differentiation pathway of the two respective cell types may be closely related.

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