scholarly journals BgeeDB, an R package for retrieval of curated expression datasets and for gene list expression localization enrichment tests

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 2748 ◽  
Author(s):  
Andrea Komljenovic ◽  
Julien Roux ◽  
Marc Robinson-Rechavi ◽  
Frederic B. Bastian
Keyword(s):  
Gene Expression ◽  
Gene List ◽  
R Package ◽  
Rna Seq ◽  
Anatomical Structures ◽  
Enrichment Test ◽  
Expression Of Genes ◽  
Affymetrix Microarrays ◽  
New Gene

BgeeDB is a collection of functions to import into R re-annotated, quality-controlled and reprocessed expression data available in the Bgee database. This includes data from thousands of wild-type healthy samples of multiple animal species, generated with different gene expression technologies (RNA-seq, Affymetrix microarrays, expressed sequence tags, and in situ hybridizations). BgeeDB facilitates downstream analyses, such as gene expression analyses with other Bioconductor packages. Moreover, BgeeDB includes a new gene set enrichment test for preferred localization of expression of genes in anatomical structures (“TopAnat”). Along with the classical Gene Ontology enrichment test, this test provides a complementary way to interpret gene lists. Availability: http://www.bioconductor.org/packages/BgeeDB/

scholarly journals BgeeDB, an R package for retrieval of curated expression datasets and for gene list expression localization enrichment tests

F1000Research ◽  
2018 ◽  
Vol 5 ◽  
pp. 2748 ◽  
Author(s):  
Andrea Komljenovic ◽  
Julien Roux ◽  
Julien Wollbrett ◽  
Marc Robinson-Rechavi ◽  
Frederic B. Bastian
Keyword(s):  
Gene Expression ◽  
Gene List ◽  
R Package ◽  
P Availability ◽  
Enrichment Test ◽  
Expression Of Genes ◽  
Affymetrix Microarrays ◽  
New Gene ◽  
In Situ Hybridizations

BgeeDB is a collection of functions to import into R re-annotated, quality-controlled and re-processed expression data available in the Bgee database. This includes data from thousands of wild-type healthy samples of multiple animal species, generated with different gene expression technologies (RNA-seq, Affymetrix microarrays, expressed sequence tags, and in situ hybridizations). BgeeDB facilitates downstream analyses, such as gene expression analyses with other Bioconductor packages. Moreover, BgeeDB includes a new gene set enrichment test for preferred localization of expression of genes in anatomical structures (“TopAnat”). Along with the classical Gene Ontology enrichment test, this test provides a complementary way to interpret gene lists. Availability: https://www.bioconductor.org/packages/BgeeDB/

scholarly journals Lipid Stores and Lipid Metabolism Associated Gene Expression in Porcine and Bovine Parthenogenetic Embryos Revealed by Fluorescent Staining and RNA-seq

2020 ◽  
Vol 21 (18) ◽  
pp. 6488
Author(s):  
Arkadiusz Kajdasz ◽  
Ewelina Warzych ◽  
Natalia Derebecka ◽  
Zofia E. Madeja ◽  
Dorota Lechniak ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lipid Metabolism ◽  
Inner Cell Mass ◽  
Mammalian Species ◽  
Cell Mass ◽  
Blastocyst Stage ◽  
Preimplantation Embryos ◽  
Rna Seq ◽  
Expression Of Genes ◽  
Bovine Blastocyst

Compared to other mammalian species, porcine oocytes and embryos are characterized by large amounts of lipids stored mainly in the form of droplets in the cytoplasm. The amount and the morphology of lipid droplets (LD) change throughout the preimplantation development, however, relatively little is known about expression of genes involved in lipid metabolism of early embryos. We compared porcine and bovine blastocyst stage embryos as well as dissected inner cell mass (ICM) and trophoblast (TE) cell populations with regard to lipid droplet storage and expression of genes functionally annotated to selected lipid gene ontology terms using RNA-seq. Comparing the number and the volume occupied by LD between bovine and porcine blastocysts, we have found significant differences both at the level of single embryo and a single blastomere. Aside from different lipid content, we found that embryos regulate the lipid metabolism differentially at the gene expression level. Out of 125 genes, we found 73 to be differentially expressed between entire porcine and bovine blastocyst, and 36 and 51 to be divergent between ICM and TE cell lines. We noticed significant involvement of cholesterol and ganglioside metabolism in preimplantation embryos, as well as a possible shift towards glucose, rather than pyruvate dependence in bovine embryos. A number of genes like DGAT1, CD36 or NR1H3 may serve as lipid associated markers indicating distinct regulatory mechanisms, while upregulated PLIN2, APOA1, SOAT1 indicate significant function during blastocyst formation and cell differentiation in both models.

scholarly journals In Situ Detection of Mycobacterium tuberculosis Transcripts in Human Lung Granulomas Reveals Differential Gene Expression in Necrotic Lesions

2002 ◽  
Vol 70 (11) ◽  
pp. 6330-6338 ◽  
Author(s):  
Gael Fenhalls ◽  
Liesel Stevens ◽  
Lorraine Moses ◽  
Juanita Bezuidenhout ◽  
Joanna C. Betts ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mycobacterium Tuberculosis ◽  
Transition Zone ◽  
Expression Of Genes ◽  
Metabolic States ◽  
Necrotic Region ◽  
Rna In Situ Hybridization ◽  
In Situ Detection

ABSTRACT We have used RNA-RNA in situ hybridization to detect the expression of several Mycobacterium tuberculosis genes in tuberculous granulomas in lung tissue sections from tuberculosis patients. The M. tuberculosis genes chosen fall into two classes. Four genes (icl, narX, and Rv2557 and Rv2558) have been implicated in the persistence of the bacterium in the host, and two genes (iniB and kasA) are upregulated in response to isoniazid exposure. Both necrotic and nonnecrotic granulomas were identified in all of the patients. Necrotic granulomas were divided into three zones: an outer lymphocyte cuff containing lymphocytes and macrophages, a transition zone consisting of necrotic material interspersed with macrophages, and a central acellular necrotic region. Transcripts of all of the genes studied were found in nonnecrotic granulomas and in the lymphocyte cuff of necrotic granulomas. Mycobacterial gene expression was associated with CD68-positive myeloid cells. Rv2557 and/or its homologue Rv2558, kasA, and iniB were expressed within the transition zone of necrotic granulomas, whereas icl and narX transcripts were absent from this area. There was no evidence of transcription of any of the genes examined in the central necrotic region, although mycobacterial DNA was present. The differential expression of genes within granulomas demonstrates that M. tuberculosis exists in a variety of metabolic states and may be indicative of the response to different microenvironments. These observations confirm that genes identified in models of persistence or in response to drug treatment in vitro are expressed in the human host.

scholarly journals Bayesian inference of the gene expression states of single cells from scRNA-seq data

2019 ◽  
Author(s):  
Jérémie Breda ◽  
Mihaela Zavolan ◽  
Erik van Nimwegen
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Single Cells ◽  
Downstream Processing ◽  
Noise Removal ◽  
Rna Seq ◽  
Expression Of Genes ◽  
Normalization Methods ◽  
Quantify Gene Expression ◽  
Selection Of

AbstractIn spite of a large investment in the development of methodologies for analysis of single-cell RNA-seq data, there is still little agreement on how to best normalize such data, i.e. how to quantify gene expression states of single cells from such data. Starting from a few basic requirements such as that inferred expression states should correct for both intrinsic biological fluctuations and measurement noise, and that changes in expression state should be measured in terms of fold-changes rather than changes in absolute levels, we here derive a unique Bayesian procedure for normalizing single-cell RNA-seq data from first principles. Our implementation of this normalization procedure, called Sanity (SAmpling Noise corrected Inference of Transcription activitY), estimates log expression values and associated errors bars directly from raw UMI counts without any tunable parameters.Comparison of Sanity with other recent normalization methods on a selection of scRNA-seq datasets shows that Sanity outperforms other methods on basic downstream processing tasks such as clustering cells into subtypes and identification of differentially expressed genes. More importantly, we show that all other normalization methods present severely distorted pictures of the data. By failing to account for biological and technical Poisson noise, many methods systematically predict the lowest expressed genes to be most variable in expression, whereas in reality these genes provide least evidence of true biological variability. In addition, by confounding noise removal with lower-dimensional representation of the data, many methods introduce strong spurious correlations of expression levels with the total UMI count of each cell as well as spurious co-expression of genes.

scholarly journals Co-culturing Hyphomicrobium nitrativorans strain NL23 and Methylophaga nitratireducenticrescens strain JAM1 allows sustainable denitrifying activities under marine conditions

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12424
Author(s):  
Alexandra Cucaita ◽  
Marianne Piochon ◽  
Richard Villemur
Keyword(s):  
Expression Profiles ◽  
Lag Phase ◽  
Rna Seq ◽  
Expression Of Genes ◽  
N Assimilation ◽  
Genes Encoding ◽  
Potential Synergy ◽  
Pure Cultures

Background Hyphomicrobium nitrativorans strain NL23 and Methylophaga nitratireducenticrescens strain JAM1 are the principal bacteria involved in the denitrifying activities of a methanol-fed, fluidized-bed marine denitrification system. Strain NL23 possesses the complete denitrification pathway, but cannot grow under marine conditions in pure cultures. Strain JAM1 is a marine bacterium that lacks genes encoding a dissimilatory nitrite (NO2−) reductase and therefore cannot reduce NO2−. Here, we report the characterization of some of their physiological traits that could influence their co-habitation. We also perform co-cultures to assess the potential synergy between the two strains under marine and denitrifying conditions. Methodology Anoxic planktonic pure cultures of both strains were grown with different concentrations of nitrate (NO3−). Anoxic planktonic co-cultures could only be cultured on low NaCl concentrations for strain NL23 to grow. Biofilm co-cultures were achieved in a 500-mL bioreactor, and operated under denitrifying conditions with increasing concentrations of NaCl. NO3− and NO2− concentrations and the protein content were measured to derive the denitrification rates. The concentrations of both strains in co-cultures were determined by quantitative PCR (qPCR). Ectoine concentration was measured by mass spectrometry in the biofilm co-culture. The biofilm was visualized by fluorescence in situ hybridization. Reverse-transcription-qPCR and RNA-seq approaches were used to assess changes in the expression profiles of genes involved in the nitrogen pathways in the biofilm cultures. Results Planktonic pure cultures of strain JAM1 had a readiness to reduce NO3− with no lag phase for growth in contrast to pure cultures of strain NL23, which had a 2-3 days lag phase before NO3− starts to be consumed and growth to occur. Compared to strain NL23, strain JAM1 has a higher µmax for growth and higher specific NO3− reduction rates. Denitrification rates were twice higher in the planktonic co-cultures than those measured in strain NL23 pure cultures. The biofilm co-cultures showed sustained denitrifying activities and surface colonization by both strains under marine conditions. Increase in ectoine concentrations was observed in the biofilm co-culture with the increase of NaCl concentrations. Changes in the relative transcript levels were observed in the biofilm culture with genes encoding NapA and NapGH in strain NL23. The type of medium had a great impact on the expression of genes involved in the N-assimilation pathways in both strains. Conclusions These results illustrate the capacity of both strains to act together in performing sustainable denitrifying activities under marine conditions. Although strain JAM1 did not contribute in better specific denitrifying activities in the biofilm co-cultures, its presence helped strain NL23 to acclimate to medium with NaCl concentrations >1.0%.

scholarly journals Cold-induced lipid dynamics and transcriptional programs in white adipose tissue

BMC Biology ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Ziye Xu ◽  
Wenjing You ◽  
Yanbing Zhou ◽  
Wentao Chen ◽  
Yizhen Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Adipose Tissue ◽  
Fatty Acid ◽  
White Adipose Tissue ◽  
Cold Exposure ◽  
Fatty Acid Elongation ◽  
Rna Seq ◽  
Short Term ◽  
Lipid Dynamics ◽  
Expression Of Genes

Abstract Background In mammals, cold exposure induces browning of white adipose tissue (WAT) and alters WAT gene expression and lipid metabolism to boost adaptive thermogenesis and maintain body temperature. Understanding the lipidomic and transcriptomic profiles of WAT upon cold exposure provides insights into the adaptive changes associated with this process. Results Here, we applied mass spectrometry and RNA sequencing (RNA-seq) to provide a comprehensive resource for describing the lipidomic or transcriptome profiles in cold-induced inguinal WAT (iWAT). We showed that short-term (3-day) cold exposure induces browning of iWAT, increases energy expenditure, and results in loss of body weight and fat mass. Lipidomic analysis shows that short-term cold exposure leads to dramatic changes of the overall composition of lipid classes WAT. Notably, cold exposure induces significant changes in the acyl-chain composition of triacylglycerols (TAGs), as well as the levels of glycerophospholipids and sphingolipids in iWAT. RNA-seq and qPCR analysis suggests that short-term cold exposure alters the expression of genes and pathways involved in fatty acid elongation, and the synthesis of TAGs, sphingolipids, and glycerophospholipids. Furthermore, the cold-induced lipid dynamics and gene expression pathways in iWAT are contrary to those previously observed in metabolic syndrome, neurodegenerative disorders, and aging, suggesting beneficial effects of cold-induced WAT browning on health and lifespan. Conclusion We described the significant alterations in the composition of glyphospholipids, glycerolipids, and sphingolipids and expression of genes involved in thermogenesis, fatty acid elongation, and fatty acid metabolism during the response of iWAT to short-term cold exposure. We also found that some changes in the levels of specific lipid species happening after cold treatment of iWAT are negatively correlated to metabolic diseases, including obesity and T2D.

285 VIABILITY AND GENE EXPRESSION OF MESENCHYMAL STEM CELLS CRYOPRESERVED WITH DIFFERENT CRYOPROTECTANTS

2008 ◽  
Vol 20 (1) ◽  
pp. 222 ◽  
Author(s):  
M. K. Kim ◽  
S. A. Ock ◽  
B. G. Jeon ◽  
J. H. Cho ◽  
G. J. Rho
Keyword(s):  
Gene Expression ◽  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Expression Patterns ◽  
Long Term Storage ◽  
Expression Of Genes ◽  
Cell Tissue ◽  
Fetal Bovine

Long-term storage of stem cells with self-renewal plays a pivotal role in cell tissue engineering, which could be a novel option for improving regenerative diseases. However, the choice of a selective cryoprotectant is still to be addressed. Dimethyl sulfoxide (DMSO), which in current practice is the most widely used as a cryoprotectant for cell freezing, is known to have toxic side effects (Wang et al. 2007 Cryobiology 55, 60–65). In this study, therefore, the effect of two different cryoprotectants, used alone or in combination, on frozen–thawed porcine mesenchymal stem cells (MSCs) was investigated by evaluating their viability, apoptosis, and gene expression patterns. MSCs isolated from bone marrow were cultured in advanced Dulbecco's modified Eagle medium (ADMEM) supplemented with 10% fetal bovine serum (FBS) and characterized by the expression of alkaline phosphatase (AP) activity and cell-surface antigen profiles (CD105 as positive, CD45 and CD133 as negative markers). Subconfluent cultures of MSCs (1 � 106 cells mL–1) at 4–5 passages were equilibrated in different cryoprotectants: (1)ADMEM supplemented with 10% DMSO, (2) ADMEM supplemented with 1.5 m ethylene glycol (EG), and (3) ADMEM supplemented with 0.75 m EG and 5% DMSO, and frozen in a programmable freezer. The straws were cooled at –4�C min–1 from 25�C to –7�C. After being seeded, the straws were further cooled to –35�C at a –0.6�C min–1 ramp rate, and then immediately plunged into LN2 and stored at least a week. After thawing at 37�C in a water bath, viability and apoptosis of cells were analyzed by flow cytometry using an In Situ Cell Death Detection kit (Roche, Mannheim, Germany). Expression of HSP70, Nanog, and β-actin was analyzed by Western blotting and quantitative real-time polymerase chain reaction (qRT-PCR), and compared to that of non-cryopreserved MSCs. Doubling time of cryopreserved MSCs was higher than for non-cryopreserved MSCs. There were no significant differences among cryopreserved groups. The rates of viability and apoptosis of non-cryopreserved MSCs (91% and 4.71%, respectively) was significantly (P < 0.05) higher than for MSCs cryopreserved with 10% DMSO, 1.5 m EG, or the 0.75 m EG and 5% DMSO mixture (71.78% and 3.45%, 70.09% and 3.22%, 68.97% and 2.42%, respectively), but the rates among different cryopreserved treatments did not differ. After thawing, expression of HSP70, Nanog, and β-actin in cryopreserved MSCs showed patterns similar to those of non-cryopreserved MSCs. In conclusion, the present study indicates that EG is an alternative cryoprotectant for cryopreservation of porcine MSCs. Further studies are needed to evaluate the possible effects on the expression of genes related to viability and apoptosis in MSCs cryopreserved with different cryoprotectants.

Cell type-specific endometrial transcriptome changes during initial recognition of pregnancy in the mare

2019 ◽  
Vol 31 (3) ◽  
pp. 496 ◽  
Author(s):  
Iside Scaravaggi ◽  
Nicole Borel ◽  
Rebekka Romer ◽  
Isabel Imboden ◽  
Susanne E. Ulbrich ◽  
...  
Keyword(s):  
Gene Expression ◽  
Spatial Information ◽  
Gene Expression Regulation ◽  
Cell Types ◽  
Rna Seq ◽  
Cell Type ◽  
Expression Of Genes ◽  
Prostaglandin F ◽  
Cell Type Specific ◽  
Gene Expression Studies

Previous endometrial gene expression studies during the time of conceptus migration did not provide final conclusions on the mechanisms of maternal recognition of pregnancy (MRP) in the mare. This called for a cell type-specific endometrial gene expression analysis in response to embryo signals to improve the understanding of gene expression regulation in the context of MRP. Laser capture microdissection was used to collect luminal epithelium (LE), glandular epithelium and stroma from endometrial biopsies from Day 12 of pregnancy and Day 12 of the oestrous cycle. RNA sequencing (RNA-Seq) showed greater expression differences between cell types than between pregnant and cyclic states; differences between the pregnant and cyclic states were mainly found in LE. Comparison with a previous RNA-Seq dataset for whole biopsy samples revealed the specific origin of gene expression differences. Furthermore, genes specifically differentially expressed (DE) in one cell type were found that were not detectable as DE in biopsies. Overall, this study revealed spatial information about endometrial gene expression during the phase of initial MRP. The conceptus induced changes in the expression of genes involved in blood vessel development, specific spatial regulation of the immune system, growth factors, regulation of prostaglandin synthesis, transport prostaglandin receptors, specifically prostaglandin F receptor (PTGFR) in the context of prevention of luteolysis.

scholarly journals intePareto: an R package for integrative analyses of RNA-Seq and ChIP-Seq data

BMC Genomics ◽  
2020 ◽  
Vol 21 (S11) ◽  
Author(s):  
Yingying Cao ◽  
Simo Kitanovski ◽  
Daniel Hoffmann
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
High Throughput Sequencing ◽  
Differential Expression Analysis ◽  
Cell Types ◽  
R Package ◽  
Integrative Approach ◽  
Integrated Analysis ◽  
Data Sets ◽  
Rna Seq

Abstract Background RNA-Seq, the high-throughput sequencing (HT-Seq) of mRNAs, has become an essential tool for characterizing gene expression differences between different cell types and conditions. Gene expression is regulated by several mechanisms, including epigenetically by post-translational histone modifications which can be assessed by ChIP-Seq (Chromatin Immuno-Precipitation Sequencing). As more and more biological samples are analyzed by the combination of ChIP-Seq and RNA-Seq, the integrated analysis of the corresponding data sets becomes, theoretically, a unique option to study gene regulation. However, technically such analyses are still in their infancy. Results Here we introduce intePareto, a computational tool for the integrative analysis of RNA-Seq and ChIP-Seq data. With intePareto we match RNA-Seq and ChIP-Seq data at the level of genes, perform differential expression analysis between biological conditions, and prioritize genes with consistent changes in RNA-Seq and ChIP-Seq data using Pareto optimization. Conclusion intePareto facilitates comprehensive understanding of high dimensional transcriptomic and epigenomic data. Its superiority to a naive differential gene expression analysis with RNA-Seq and available integrative approach is demonstrated by analyzing a public dataset.

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