scholarly journals High-Throughput Sequencing is a Crucial Tool to Investigate the Contribution of Human Endogenous Retroviruses (HERVs) to Human Biology and Development

Viruses ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 633 ◽  
Author(s):  
Maria Paola Pisano ◽  
Nicole Grandi ◽  
Enzo Tramontano
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Developmental Stages ◽  
Large Fraction ◽  
Expression Patterns ◽  
Cell Types ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retroviruses ◽  
Retroviral Infections ◽  
The Impact

Human Endogenous retroviruses (HERVs) are remnants of ancient retroviral infections that represent a large fraction of our genome. Their transcriptional activity is finely regulated in early developmental stages and their expression is modulated in different cell types and tissues. Such activity has an impact on human physiology and pathology that is only partially understood up to date. Novel high-throughput sequencing tools have recently allowed for a great advancement in elucidating the various HERV expression patterns in different tissues as well as the mechanisms controlling their transcription, and overall, have helped in gaining better insights in an all-inclusive understanding of the impact of HERVs in biology of the host.

scholarly journals Untangling the effects of cellular composition on coexpression analysis

2019 ◽  
Author(s):  
Marjan Farahbod ◽  
Paul Pavlidis
Keyword(s):  
Regulatory Networks ◽  
Large Fraction ◽  
Expression Patterns ◽  
Cell Types ◽  
Cellular Composition ◽  
Cell Type ◽  
Coexpression Analysis ◽  
The Impact ◽  
Bulk Tissue ◽  
Rna Levels

AbstractBackgroundCoexpression analysis is one of the most widely used methods in genomics, with applications to inferring regulatory networks, predicting gene function, and interpretation of transcriptome profiling studies. Most studies use data collected from bulk tissue, where the effects of cellular composition present a potential confound. However, the impact of composition on coexpression analysis have not been studied in detail. Here we examine this issue for the case of human brain RNA analysis.ResultsWe found that for most genes, differences in expression levels across cell types account for a large fraction of the variance of their measured RNA levels in brain (median R2 = 0.64). We then show that genes that have similar expression patterns across cell types will have correlated RNA levels in bulk tissue, due to the effect of variation in cellular composition. We demonstrate that much of the coexpression in the bulk tissue can be attributed to this effect. We further show how this composition-induced coexpression masks underlying intra-cell-type coexpression observed in single-cell data. Attempt to correct for composition yielded mixed results.ConclusionsThe dominant coexpression signal in brain can be attributed to cellular compositional effects, rather than intra-cell-type regulatory relationships, and this is likely to be true for other tissues. These results have important implications for the relevance and interpretation of coexpression in many applications.

scholarly journals Differential Expression of Maize and Teosinte microRNAs under Submergence, Drought, and Alternated Stress

Plants ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1367
Author(s):  
Edgar Baldemar Sepúlveda-García ◽  
José Francisco Pulido-Barajas ◽  
Ariana Arlene Huerta-Heredia ◽  
Julián Mario Peña-Castro ◽  
Renyi Liu ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Zea Mays ◽  
High Throughput ◽  
Small Rna ◽  
Abiotic Stresses ◽  
Crop Production ◽  
High Throughput Sequencing ◽  
Expression Patterns ◽  
Evolutionary Divergence ◽  
Rna Profiling

Submergence and drought stresses are the main constraints to crop production worldwide. MicroRNAs (miRNAs) are known to play a major role in plant response to various stresses. In this study, we analyzed the expression of maize and teosinte miRNAs by high-throughput sequencing of small RNA libraries in maize and its ancestor teosinte (Zea mays ssp. parviglumis), under submergence, drought, and alternated stress. We found that the expression patterns of 67 miRNA sequences representing 23 miRNA families in maize and other plants were regulated by submergence or drought. miR159a, miR166b, miR167c, and miR169c were downregulated by submergence in both plants but more severely in maize. miR156k and miR164e were upregulated by drought in teosinte but downregulated in maize. Small RNA profiling of teosinte subject to alternate treatments with drought and submergence revealed that submergence as the first stress attenuated the response to drought, while drought being the first stress did not alter the response to submergence. The miRNAs identified herein, and their potential targets, indicate that control of development, growth, and response to oxidative stress could be crucial for adaptation and that there exists evolutionary divergence between these two subspecies in miRNA response to abiotic stresses.

scholarly journals Expression Profiling of Mammalian Male Meiosis and Gametogenesis Identifies Novel Candidate Genes for Roles in the Regulation of Fertility

2004 ◽  
Vol 15 (3) ◽  
pp. 1031-1043 ◽  
Author(s):  
Ulrich Schlecht ◽  
Philippe Demougin ◽  
Reinhold Koch ◽  
Leandro Hermida ◽  
Christa Wiederkehr ◽  
...  
Keyword(s):  
Germ Cell ◽  
Germ Cells ◽  
Expression Profiling ◽  
Large Scale ◽  
Developmental Stages ◽  
Expression Patterns ◽  
Control Cell ◽  
Cell Types ◽  
Male Meiosis ◽  
Cell Expression

We report a comprehensive large-scale expression profiling analysis of mammalian male germ cells undergoing mitotic growth, meiosis, and gametogenesis by using high-density oligonucleotide microarrays and highly enriched cell populations. Among 11,955 rat loci investigated, 1268 were identified as differentially transcribed in germ cells at subsequent developmental stages compared with total testis, somatic Sertoli cells as well as brain and skeletal muscle controls. The loci were organized into four expression clusters that correspond to somatic, mitotic, meiotic, and postmeiotic cell types. This work provides information about expression patterns of ∼200 genes known to be important during male germ cell development. Approximately 40 of those are included in a group of 121 transcripts for which we report germ cell expression and lack of transcription in three somatic control cell types. Moreover, we demonstrate the testicular expression and transcriptional induction in mitotic, meiotic, and/or postmeiotic germ cells of 293 as yet uncharacterized transcripts, some of which are likely to encode factors involved in spermatogenesis and fertility. This group also contains potential germ cell-specific targets for innovative contraceptives. A graphical display of the data is conveniently accessible through the GermOnline database at http://www.germonline.org .

scholarly journals Retroviral Transcriptional Regulation and Embryonic Stem Cells: War and Peace

2014 ◽  
Vol 35 (5) ◽  
pp. 770-777 ◽  
Author(s):  
Sharon Schlesinger ◽  
Stephen P. Goff
Keyword(s):  
Dna Sequences ◽  
Regulatory Networks ◽  
Es Cells ◽  
Expression Patterns ◽  
Embryonic Stem ◽  
Cell Types ◽  
Endogenous Retroviruses ◽  
Regulatory Sequences ◽  
Cellular Genes ◽  
Wide Range

Retroviruses have evolved complex transcriptional enhancers and promoters that allow their replication in a wide range of tissue and cell types. Embryonic stem (ES) cells, however, characteristically suppress transcription of proviruses formed after infection by exogenous retroviruses and also of most members of the vast array of endogenous retroviruses in the genome. These cells have unusual profiles of transcribed genes and are poised to make rapid changes in those profiles upon induction of differentiation. Many of the transcription factors in ES cells control both host and retroviral genes coordinately, such that retroviral expression patterns can serve as markers of ES cell pluripotency. This overlap is not coincidental; retrovirus-derived regulatory sequences are often used to control cellular genes important for pluripotency. These sequences specify the temporal control and perhaps “noisy” control of cellular genes that direct proper cell gene expression in primitive cells and their differentiating progeny. The evidence suggests that the viral elements have been domesticated for host needs, reflecting the wide-ranging exploitation of any and all available DNA sequences in assembling regulatory networks.

scholarly journals ‘There and back again’: revisiting the pathophysiological roles of human endogenous retroviruses in the post-genomic era

2013 ◽  
Vol 368 (1626) ◽  
pp. 20120504 ◽  
Author(s):  
Gkikas Magiorkinis ◽  
Robert Belshaw ◽  
Aris Katzourakis
Keyword(s):  
Human Genome ◽  
High Throughput Sequencing ◽  
Immune Escape ◽  
Genomic Sequence ◽  
Sequence Data ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retroviruses ◽  
The Past ◽  
Sequencing Technologies ◽  
Research Questions

Almost 8% of the human genome comprises endogenous retroviruses (ERVs). While they have been shown to cause specific pathologies in animals, such as cancer, their association with disease in humans remains controversial. The limited evidence is partly due to the physical and bioethical restrictions surrounding the study of transposons in humans, coupled with the major experimental and bioinformatics challenges surrounding the association of ERVs with disease in general. Two biotechnological landmarks of the past decade provide us with unprecedented research artillery: (i) the ultra-fine sequencing of the human genome and (ii) the emergence of high-throughput sequencing technologies. Here, we critically assemble research about potential pathologies of ERVs in humans. We argue that the time is right to revisit the long-standing questions of human ERV pathogenesis within a robust and carefully structured framework that makes full use of genomic sequence data. We also pose two thought-provoking research questions on potential pathophysiological roles of ERVs with respect to immune escape and regulation.

scholarly journals Solitary Human Endogenous Retroviruses-K LTRs Retain Transcriptional Activity in Vivo, the Mode of Which Is Different in Different Cell Types

Virology ◽  
2001 ◽  
Vol 290 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Tatyana V. Vinogradova ◽  
Ludmila P. Leppik ◽  
Lev G. Nikolaev ◽  
Sergey B. Akopov ◽  
Anna M. Kleiman ◽  
...  
Keyword(s):  
Transcriptional Activity ◽  
Cell Types ◽  
Endogenous Retroviruses ◽  
Human Endogenous Retroviruses ◽  
Different Cell Types

scholarly journals Multi-Body-Site Microbiome and Culture Profiling of Military Trainees Suffering from Skin and Soft Tissue Infections at Fort Benning, Georgia

mSphere ◽  
2016 ◽  
Vol 1 (5) ◽  
Author(s):  
Jatinder Singh ◽  
Ryan C. Johnson ◽  
Carey D. Schlett ◽  
Emad M. Elassal ◽  
Katrina B. Crawford ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Bacterial Community Composition ◽  
Soft Tissue Infections ◽  
Microbial Composition ◽  
Content Type ◽  
Microbial Dysbiosis ◽  
Lack Of Information ◽  
The Impact ◽  
Nasal Microbiota

ABSTRACT While it is evident that nasal colonization with S. aureus increases the likelihood of SSTI, there is a significant lack of information regarding the contribution of extranasal colonization to the overall risk of a subsequent SSTI. Furthermore, the impact of S. aureus colonization on bacterial community composition outside the nasal microbiota is unclear. Thus, this report represents the first investigation that utilized both culture and high-throughput sequencing techniques to analyze microbial dysbiosis at multiple body sites of healthy and diseased/colonized individuals. The results described here may be useful in the design of future methodologies to treat and prevent SSTIs. Skin and soft tissue infections (SSTIs) are common in the general population, with increased prevalence among military trainees. Previous research has revealed numerous nasal microbial signatures that correlate with SSTI development and Staphylococcus aureus colonization. Thus, we hypothesized that the ecology of the inguinal, oropharynx, and perianal regions may also be altered in response to SSTI and/or S. aureus colonization. We collected body site samples from 46 military trainees with purulent abscess (SSTI group) as well as from 66 asymptomatic controls (non-SSTI group). We also collected abscess cavity samples to assess the microbial composition of these infections. Samples were analyzed by culture, and the microbial communities were characterized by high-throughput sequencing. We found that the nasal, inguinal, and perianal regions were similar in microbial composition and significantly differed from the oropharynx. We also observed differences in Anaerococcus and Streptococcus abundance between the SSTI and non-SSTI groups for the nasal and oropharyngeal regions, respectively. Furthermore, we detected community membership differences between the SSTI and non-SSTI groups for the nasal and inguinal sites. Compared to that of the other regions, the microbial compositions of the nares of S. aureus carriers and noncarriers were dramatically different; we noted an inverse correlation between the presence of Corynebacterium and the presence of Staphylococcus in the nares. This correlation was also observed for the inguinal region. Culture analysis revealed elevated methicillin-resistant S. aureus (MRSA) colonization levels for the SSTI group in the nasal and inguinal body sites. Together, these data suggest significant microbial variability in patients with SSTI as well as between S. aureus carriers and noncarriers. IMPORTANCE While it is evident that nasal colonization with S. aureus increases the likelihood of SSTI, there is a significant lack of information regarding the contribution of extranasal colonization to the overall risk of a subsequent SSTI. Furthermore, the impact of S. aureus colonization on bacterial community composition outside the nasal microbiota is unclear. Thus, this report represents the first investigation that utilized both culture and high-throughput sequencing techniques to analyze microbial dysbiosis at multiple body sites of healthy and diseased/colonized individuals. The results described here may be useful in the design of future methodologies to treat and prevent SSTIs.

scholarly journals Identification and Profiling of Conserved MicroRNAs in Different Developmental Stages of Crown Imperial (Fritillaria Imperialis L.) using High-throughput Sequencing

2021 ◽  
Author(s):  
Fereshteh Ahmadi Teshniz ◽  
Behrouz Shiran ◽  
Sadegh Mousavi-Fard ◽  
Hossein Fallahi ◽  
Bojana Banović Đeri
Keyword(s):  
Plant Species ◽  
Abiotic Stresses ◽  
Regulatory Networks ◽  
High Throughput Sequencing ◽  
Developmental Stages ◽  
Expression Patterns ◽  
Practical Application ◽  
Sequencing Technologies ◽  
New Strategies ◽  
Different Tissues

Abstract Novel strategies for improvement of plants’ ornamental and other properties relay on miRNA control of differential plant gene expression modulation. Still, in response to the same abiotic stresses, some conserved miRNA families show different expression patterns in different plant species. In parallel, the use of deep sequencing technologies reveals new levels of complexity of regulatory networks in plants through identification of new miRNAs. These are two major reasons why more studies are needed before envisioned new strategies may take their course in practical application domain. This research revealed 21 conserved miRNAs, matching 15 miRNA families, in Fritilaria imperialis. Among identified conserved miRNA families in crown imperial, miR166, miR169 and miR396 families were the most abundant ones. The expression of seven conserved miRNAs (Fim-miR156b, Fim-miR159, Fim-miR166a-5p, Fim-miR169d-5p, Fim-miR171c, Fim-miR393 and Fim-miR396e-3p) was further investigated in different tissues and three developmental stages, suggesting different roles these miRNAs have in growth and development of crown imperial. Gained knowledge from this research can open the door to find efficient ways to secure crown imperial survival, preservation and utilization and if proven useful may be applied in other plant species as well.

scholarly journals An integrated genome-wide multi-omics analysis of gene expression dynamics in the preimplantation mouse embryo

2018 ◽  
Author(s):  
Steffen Israel ◽  
Mathias Ernst ◽  
Olympia E. Psathaki ◽  
Hannes C. A. Drexler ◽  
Ellen Casser ◽  
...  
Keyword(s):  
Mouse Embryo ◽  
Developmental Stages ◽  
Protein Complexes ◽  
Large Fraction ◽  
Transcript Level ◽  
Free Ribosome ◽  
Translational Machinery ◽  
Preimplantation Mouse ◽  
Morula Stage ◽  
The Impact

AbstractEarly mouse embryos have an atypical translational machinery comprised of cytoplasmic lattices, poorly competent for translation. Thus, the impact of transcriptomic changes on the operational levels of proteins has likely been overestimated in the past. To find out, we used liquid chromatography–tandem mass spectrometry to detect and quantify 6,550 proteins in the oocyte and in six developmental stages (from zygote to blastocyst) collected in triplicates, and we also performed mRNA sequencing.In contrast to the known split between the 2-cell and 4-cell stages at the transcript level, on the protein level the oocyte-to-embryo transition appeared to last until the morula stage. In general, protein abundance profiles were weakly correlated with those of their cognate mRNAs and we found little or no concordance between changes in protein and transcript expression relative to the oocyte at early stages. However, concordance increased towards morula and blastocyst, hinting at a more direct coupling of proteins with transcripts at these stages, in agreement with the increase in free ribosome abundance. Independent validation by immunofluorescence and qPCR confirmed the existence of genes featuring strongly positively and negatively correlated protein and transcript. Moreover, consistent coverage of most known protein complexes indicates that our dataset represents a large fraction of the expressed proteome. Finally, we identified 20 markers, including members of the endoplasmic reticulum pathway, for discriminating between early and late stages.This resource contributes towards closing the gap between the ‘predicted’ phenotype, based on mRNA, and the ‘actual’ phenotype, based on protein, of the mouse embryo.

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