scholarly journals Effect of Anaerobiosis and Nitrate on Gene Expression in Pseudomonas aeruginosa

2005 ◽  
Vol 73 (6) ◽  
pp. 3764-3772 ◽  
Author(s):  
M. J. Filiatrault ◽  
V. E. Wagner ◽  
D. Bushnell ◽  
C. G. Haidaris ◽  
B. H. Iglewski ◽  
...  

ABSTRACT DNA microarrays were used to examine the transcriptional response of Pseudomonas aeruginosa to anaerobiosis and nitrate. In response to anaerobic growth, 691 transcripts were differentially expressed. Comparisons of P. aeruginosa grown aerobically in the presence or the absence of nitrate showed differential expression of greater than 900 transcripts.

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Weitong Cui ◽  
Huaru Xue ◽  
Lei Wei ◽  
Jinghua Jin ◽  
Xuewen Tian ◽  
...  

Abstract Background RNA sequencing (RNA-Seq) has been widely applied in oncology for monitoring transcriptome changes. However, the emerging problem that high variation of gene expression levels caused by tumor heterogeneity may affect the reproducibility of differential expression (DE) results has rarely been studied. Here, we investigated the reproducibility of DE results for any given number of biological replicates between 3 and 24 and explored why a great many differentially expressed genes (DEGs) were not reproducible. Results Our findings demonstrate that poor reproducibility of DE results exists not only for small sample sizes, but also for relatively large sample sizes. Quite a few of the DEGs detected are specific to the samples in use, rather than genuinely differentially expressed under different conditions. Poor reproducibility of DE results is mainly caused by high variation of gene expression levels for the same gene in different samples. Even though biological variation may account for much of the high variation of gene expression levels, the effect of outlier count data also needs to be treated seriously, as outlier data severely interfere with DE analysis. Conclusions High heterogeneity exists not only in tumor tissue samples of each cancer type studied, but also in normal samples. High heterogeneity leads to poor reproducibility of DEGs, undermining generalization of differential expression results. Therefore, it is necessary to use large sample sizes (at least 10 if possible) in RNA-Seq experimental designs to reduce the impact of biological variability and DE results should be interpreted cautiously unless soundly validated.


2020 ◽  
Vol 63 (2) ◽  
pp. 303-313
Author(s):  
Li Li ◽  
Linli Zhang ◽  
Zhenghong Zhang ◽  
Nemat O. Keyhani ◽  
Qingwu Xin ◽  
...  

Abstract. Testicular transcriptomes were analyzed to characterize the differentially expressed genes between mulard and Pekin ducks, which will help establish gene expression datasets to assist in further determination of the mechanisms of genetic sterility in mulard ducks. Paraffin sections were made to compare the developmental differences in testis tissue between mulard and Pekin ducks. Comparative transcriptome sequencing of testis tissues was performed, and the expression of candidate genes was verified by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). In mulard ducks, spermatogonia and spermatocytes were arranged in a disordered manner, and no mature sperm were observed in the testis tissue. However, different stages of development of sperm were observed in seminiferous tubules in the testis tissue of Pekin ducks. A total of 43.84 Gb of clean reads were assembled into 193 535 UniGenes. Of these, 2131 transcripts exhibited differential expression (false discover rate <0.001 and fold change ≥2), including 997 upregulated and 1134 downregulated transcripts in mulard ducks as compared to those in Pekin duck testis tissues. Several upregulated genes were related to reproductive functions, including ryanodine receptor 2 (RYR2), calmodulin (CALM), argininosuccinate synthase and delta-1-pyrroline-5-carboxylate synthetase ALDH18A1 (P5CS). Downregulated transcripts included the testis-specific serine/threonine-protein kinase 3, aquaporin-7 (AQP7) and glycerol kinase GlpK (GK). The 10 related transcripts involved in the developmental biological process were identified by GO (Gene Ontology) annotation. The KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways indicated that peroxisome proliferator-activated receptors (PPARs) and calcium signaling pathways were significantly (P<0.001) associated with normal testis physiology. The differential expression of select genes implicated in reproductive processes was verified by qRT-PCR, which was consistent with the expression trend of transcriptome sequencing (RNA-seq). Differentially expressed candidate genes RYR2, CALM, P5CS, AQP7 and GK were identified by transcriptional analysis in mulard and Pekin duck testes. These were important for the normal development of the male duck reproductive system. These data provide a framework for the further exploration of the molecular and genetic mechanisms of sterility in mulard ducks. Highlights. The mulard duck is an intergeneric sterile hybrid offspring resulting from mating between Muscovy and Pekin ducks. The transcriptomes of testis tissue from mulard and Pekin ducks were systematically characterized, and differentially expressed genes were screened, in order to gain insights into potential gonad gene expression mechanisms contributing to genetic sterility in mulard ducks.


2020 ◽  
Vol 12 (8) ◽  
pp. 1277-1301
Author(s):  
Mark J Nolte ◽  
Peicheng Jing ◽  
Colin N Dewey ◽  
Bret A Payseur

Abstract Island populations repeatedly evolve extreme body sizes, but the genomic basis of this pattern remains largely unknown. To understand how organisms on islands evolve gigantism, we compared genome-wide patterns of gene expression in Gough Island mice, the largest wild house mice in the world, and mainland mice from the WSB/EiJ wild-derived inbred strain. We used RNA-seq to quantify differential gene expression in three key metabolic organs: gonadal adipose depot, hypothalamus, and liver. Between 4,000 and 8,800 genes were significantly differentially expressed across the evaluated organs, representing between 20% and 50% of detected transcripts, with 20% or more of differentially expressed transcripts in each organ exhibiting expression fold changes of at least 2×. A minimum of 73 candidate genes for extreme size evolution, including Irs1 and Lrp1, were identified by considering differential expression jointly with other data sets: 1) genomic positions of published quantitative trait loci for body weight and growth rate, 2) whole-genome sequencing of 16 wild-caught Gough Island mice that revealed fixed single-nucleotide differences between the strains, and 3) publicly available tissue-specific regulatory elements. Additionally, patterns of differential expression across three time points in the liver revealed that Arid5b potentially regulates hundreds of genes. Functional enrichment analyses pointed to cell cycling, mitochondrial function, signaling pathways, inflammatory response, and nutrient metabolism as potential causes of weight accumulation in Gough Island mice. Collectively, our results indicate that extensive gene regulatory evolution in metabolic organs accompanied the rapid evolution of gigantism during the short time house mice have inhabited Gough Island.


2009 ◽  
Vol 38 (1) ◽  
pp. 80-88 ◽  
Author(s):  
M. Medvedovic ◽  
R. Gear ◽  
J. M. Freudenberg ◽  
J. Schneider ◽  
R. Bornschein ◽  
...  

Background: This study examines the impact of dietary fatty acids on regulation of gene expression in mammary epithelial cells before and during puberty. Methods: Diets primarily consisted of n-9 monounsaturated fatty acids (olive oil), n-6 polyunsaturated fatty acids (safflower), saturated acids (butter), and the reference AIN-93G diet (soy oil). The dietary regimen mimics the repetitive nature of fatty acid exposure in Western diets. Diet-induced changes in gene expression were examined in laser capture microdissected mammary ductal epithelial cells at day of weaning and end of puberty. PCNA immunohistochemistry analysis compared proliferation rates between diets. Results: Genes differentially expressed between each test diets and the reference diet were significantly enriched by cell cycle genes. Some of these genes were involved in activation of the cell cycle pathway or the G2/M check point pathway. Although there were some differences in the level of differential expression, all diets showed qualitatively the same pattern of differential expression compared to the reference diet. Cluster analysis identified an expanded set of cell cycle as well as immunity and sterol metabolism related clusters of differentially expressed genes. Conclusion: Fatty acid-enriched diets significantly upregulated proliferation above normal physiological levels during puberty. Higher cellular proliferation during puberty caused by enriched fatty acid diets poses a potential increase risk of mammary cancer in later life. The human homologs of 27 of 62 cell cycle rat genes are included in a human breast cancer cluster of 45 cell cycle genes, further emphasizing the importance of our findings in the rat model.


2010 ◽  
Vol 2010 ◽  
pp. 1-29 ◽  
Author(s):  
Nicoletta Filigheddu ◽  
Ilaria Gregnanin ◽  
Paolo E. Porporato ◽  
Daniela Surico ◽  
Beatrice Perego ◽  
...  

Endometriosis, defined as the presence of endometrial tissue outside the uterus, is a common gynecological disease with poorly understood pathogenesis. MicroRNAs are members of a class of small noncoding RNA molecules that have a critical role in posttranscriptional regulation of gene expression by repression of target mRNAs translation. We assessed differentially expressed microRNAs in ectopic endometrium compared with eutopic endometrium in 3 patients through microarray analysis. We identified 50 microRNAs differentially expressed and the differential expression of five microRNAs was validated by real-time RT-PCR in other 13 patients. We identifiedin silicotheir predicted targets, several of which match the genes that have been identified to be differentially expressed in ectopicversuseutopic endometrium in studies of gene expression. A functional analysis of the predicted targets indicates that several of these are involved in molecular pathways implicated in endometriosis, thus strengthening the hypothesis of the role of microRNAs in this pathology.


Blood ◽  
2009 ◽  
Vol 114 (1) ◽  
pp. 85-94 ◽  
Author(s):  
Andrew N. Harman ◽  
Marianne Kraus ◽  
Chris R. Bye ◽  
Karen Byth ◽  
Stuart G. Turville ◽  
...  

AbstractDendritic cells (DCs) play a key role in the pathogenesis of HIV infection. HIV interacts with these cells through 2 pathways in 2 temporal phases, initially via endocytosis and then via de novo replication. Here the transcriptional response of human DCs to HIV-1 was studied in these phases and at different stages of the virus replication cycle using purified HIV-1 envelope proteins, and inactivated and viable HIV-1. No differential gene expression was detected in response to envelope. However, more than 100 genes were differentially expressed in response to entry of viable and inactivated HIV-1 in the first phase. A completely different set of genes was differentially expressed in the second phase, predominantly in response to viable HIV-1, including up-regulation of immune regulation genes, whereas genes encoding lysosomal enzymes were down-regulated. Cathepsins B, C, S, and Z RNA and protein decreased, whereas cathepsin L was increased, probably reflecting a concomitant decrease in cystatin C. The net effect was markedly diminished cathepsin activity likely to result in enhanced HIV-1 survival and transfer to contacting T lymphocytes but decreased HIV-1 antigen processing and presentation to these T cells.


2019 ◽  
Author(s):  
Benjamin Murray Heineike ◽  
Hana El-Samad

AbstractFunctional divergence of duplicate genes, or paralogs, is an important driver of novelty in evolution. In the model yeast Saccharomyces cerevisiae, there are 547 paralog gene pairs that survive from an interspecies Whole Genome Hybridization (WGH) that occurred ∼100MYA. Many WGH paralogs (or ohnologs) are known to have differential expression during the yeast Environmental Stress Response (ESR), of which Protein Kinase A (PKA) is a major regulator. While investigating the transcriptional response to PKA inhibition in S. cerevisiae, we discovered that approximately 1/6th (91) of all ohnolog pairs were differentially expressed with a striking pattern. One member of each pair tended to have low basal expression that increased upon PKA inhibition, while the other tended to have high but unchanging expression. Examination of PKA inhibition data in the pre-WGH species K. lactis and PKA-related stresses in other budding yeasts indicated that unchanging expression in response to PKA inhibition is likely to be the ancestral phenotype prior to duplication. Analysis of promoter sequences of orthologs of gene pairs that are differentially expressed in S. cerevisiae further revealed that the emergence of PKA-dependence took different evolutionary routes. In some examples, regulation by PKA and differential expression appears to have arisen following the WGH, while in others, regulation by PKA appears to have arisen in one of the two parental lineages prior to the WGH. More broadly, our results illustrate the unique opportunities presented by a WGH event for generating functional divergence by bringing together two parental lineages with separately evolved regulation into one species. We propose that functional divergence of two ohnologs can be facilitated through such regulatory divergence, which can persist even when functional differences are erased by gene conversion.


2020 ◽  
Author(s):  
Shahan Mamoor

We probed published and public microarray datasets (1, 2) to discover the most significant gene expression changes in the blood of patients with sepsis. We identified significant differential expression of the heterogenous nuclear ribonucleoprotein hnRNP U in whole blood from patients with sepsis.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5201-5201
Author(s):  
Chieh Lee Wong ◽  
Baoshan Ma ◽  
Gareth Gerrard ◽  
Martyna Adamowicz-Brice ◽  
Zainul Abidin Norziha ◽  
...  

Abstract Background The past decade has witnessed a significant progress in the understanding of the molecular pathogenesis of myeloproliferative neoplasms (MPN). A large number of genes have now been implicated in the pathogenesis of MPN but their relative importance, the mechanisms by which they cause different cell types to predominate and their implications for prognosis remain unknown. We hypothesized that there are other genes which may contribute to the pathogenesis of the different disease subtypes detectable only by cell-type specific analysis. Aim The aim of this study was to perform gene expression profiling on different cell types from patients with MPN in order to identify novel variants and driver mutations, to elucidate the pathogenesis and to identify predictors of survival in patients with MPN in a multiracial country. Methods We performed gene expression profiling on normal controls (NC) and patients with MPN from 3 different races (Malay, Chinese and Indian) in Malaysia who were diagnosed with essential thrombocythemia (ET), polycythemia vera (PV) and primary myelofibrosis (PMF) according to the 2008 WHO diagnostic criteria for MPN. Two cohorts of patients, the patient and validation cohorts, from 3 tertiary-level hospitals were recruited prospectively over 3 years and informed consents were obtained. Peripheral blood samples were taken and sorted into polymorphonuclear cells (PMNs), mononuclear cells (MNCs) and T cells. RNA was extracted from each cell population. Gene expression profiling was performed using the Illumina HumanHT-12 Expression Beadchip for microarray and the Illumina Nextera XT DNA Sample Preparation Kit for next generation sequencing on the patient and validation cohorts respectively. Results Twenty-eight patients (10 ET, 11 PV and 7 PMF) and 11 NC were recruited into the patient cohort. Twelve patients (4 ET, 4 PV and 4 PMF) and 4 NC were recruited into the validation cohort. Gene expression levels for each cell type in each disease were compared with NC. In the patient cohort, the number of differentially expressed genes in ET, PV and PMF was 0, 141 and 15 respectively for PMNs (p < 0.05 after multiple testing correction) and 5, 170 and 562 respectively for MNCs (p < 0.05). No differentially expressed genes were identified for T cells in any of the three disease groups. RNA-seq analysis of samples from the validation cohort was used to corroborate these findings. After combination, we were able to confirm differential expression of 0, 14 and 7 genes in ET, PV and PMF respectively for PMNs (p < 0.05) and 51 genes in only PMF for MNCs (p < 0.05). The validated differentially expressed genes for PMNs and MNCs were mutually exclusive except for one gene. The differentially expressed genes in PV and PMF for PMNs were involved in cellular processes and metabolic pathways whereas the differentially expressed genes for PMF in MNCs were involved in regulation of cytoskeleton, focal adhesion and cell signaling pathways. Conclusion This is the first study to use microarray and next generation sequencing techniques to compare cell type-specific expression of genes between different subtypes of MPN. The lack of differential expression in T cells validates the techniques used and indicates that they are not part of the neoplastic clone. Differential expression of genes for MNCs was seen only in PMF which may be related to their more severe phenotype. Interestingly, there were fewer differentially expressed genes in PMF compared to PV for PMNs. The lack of differential expression in ET may either reflect the relatively milder phenotype of the disease or that differential expression is limited to megakaryocytes-platelets which were not studied. The lists of mutually exclusive cell type-specific differentially expressed genes for PMNs and MNCs provide further insight into the pathogenesis of MPN and into the differences between its different forms. The identified genes also indicate further routes for investigation of pathogenesis and possible disease-specific targets for therapy. Disclosures Aitman: Illumina: Honoraria.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4283-4283
Author(s):  
Chieh Lee Wong ◽  
Andrew Innes ◽  
Baoshan Ma ◽  
Gareth Gerrard ◽  
Zainul Abidin Norziha ◽  
...  

Abstract Introduction Despite significant progress in the understanding of the molecular pathogenesis of myeloproliferative neoplasms (MPN) and the identification of high molecular risk (HMR) genes (i.e. ASXL1, EZH2, IDH1 and IDH2 genes), the mechanisms by which different cell types predominate in the different disease subtypes and their implications for prognosis remain uncertain. Given the recently described association of senescence and fibrosis in a number of pathologies by Menoz-Espin et al, we hypothesized that genes implicated in oncogene-induced senescence (OIS) and senescence associated secretory phenotype (SASP) may contribute to the pathogenesis of these neoplastic bone marrow disorders that frequently show evidence of fibrosis. Specifically, we were interested in the gene expression levels in different disease subtypes, at a cell-type level, and whether these patterns of differential expression were distinct from the transforming JAK-STAT pathway and the HMR genes. Aim To elucidate the role of OIS and SASP genes in the pathogenesis of MPN subtypes by determining the differential expression of the genes in specific cell types in patients with MPN. Methods We performed gene expression profiling on normal controls (NC) and patients with MPN who were diagnosed with essential thrombocythemia (ET), polycythemia vera (PV) and primary myelofibrosis (PMF) according to the 2008 WHO diagnostic criteria. Two cohorts of patients, the patient and validation cohorts, from 3 tertiary-level hospitals were recruited prospectively over 3 years. Peripheral blood samples were taken and sorted into polymorphonuclear cells (PMN), mononuclear cells (MNC) and T cells. RNA was extracted from each cell population. Gene expression profiling of the human transcriptome was performed using microarray and RNA sequencing on the patient and validation cohorts respectively. Gene expression analyses (GEA) were performed on 4 sets of genes derived from publicly available or custom derived gene set enrichment analysis: 92 OIS genes, 88 SASP genes (Gil et al), 4 HMR genes, and 126 genes associated with JAK-STAT pathway. Gene expression levels for each cell type in each disease were compared with NC to obtain the differential expression of the genes. RNA-seq analysis of samples from the validation cohort was used to validate the microarray results from the patient cohort. Results Twenty-eight patients (10 ET, 11 PV and 7 PMF) and 11 NC were recruited into the patient cohort. Twelve patients (4 ET, 4 PV and 4 PMF) and 4 NC were recruited into the validation cohort. After combination of the microarray and RNA-seq datasets, GEA of the OIS genes revealed the differential expressions of MCTP1 and SULT1B1 genes by PMN in PV but of none in PMF. In contrast, the BEX1 gene was identified as differentially expressed by MNC in PMF but none in PV. GEA of the SASP genes revealed differential expression of THBS1 gene by MNC in PMF but of none in PV. None of the SASP genes were differentially expressed by PMN in either PV or PMF. No differentially expressed genes were identified by PMN or MNC in ET, or by T cells in any of the diseases. Notably, GEA of the HMR genes and genes associated with the JAK-STAT pathways did not show any differential expression in any disease subtype by any cell type. Conclusions We have found strikingly distinct patterns of differential expression of senescence associated genes by PMN (in PV) and MNC (in PMF). These results provide a novel insight into the mechanisms underlying the different phenotype of the MPN subtypes and also to the cells responsible for mediating the differences. The lack of differential expression of OIS and SASP genes in ET may reflect the milder clinical phenotype of the disease. Although mutations in the HMR genes are associated with poor prognosis in PMF, the lack of differential expression in these genes and genes associated with the JAK-STAT pathway is in keeping with their mutated status and suggests that they give rise to the disease phenotypes via altering downstream expression of genes associated in other pathways such as the senescence pathways studied here. Further studies are warranted to investigate the role of these genes and the pathways involved in senescence at a cell-type specific level in order to gain further insight into how they can potentially give rise to the various disease phenotypes in MPN and unmask potential therapeutic targets. Disclosures Aitman: Illumina: Honoraria.


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