scholarly journals De novo assembly, annotation and gene expression profiles of gonads of Cytorace-3, a hybrid lineage of Drosophila nasuta nasuta and D. n. albomicans

2021 ◽  
Vol 19 (1) ◽  
pp. e2
Author(s):  
Koushik Ponnanna ◽  
Stafny M. DSouza ◽  
Nallur B. Ramachandra
Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 2996-2996
Author(s):  
Sanggyu Lee ◽  
Jianjun Chen ◽  
Goulin Zhou ◽  
Run Shi ◽  
Masha Kocherginsky ◽  
...  

Abstract Chromosome translocations are among the most common genetic abnormalities in human leukemia. The abnormally expressed genes from each translocation can be used to identify specific markers for clinical diagnosis of each translocation. Microarrays have identified genes differentially expressed in different translocations but the results between laboratories are not always compatible. We used SAGE to quantitate gene expression in bone marrow(BM) samples from 22 patients with four types of AML, [de novo AML M2 with t(8;21), AML M3 or M3V with t(15;17), AML M4Eo with inv(16), AML M5 with t(9;11) or secondary t(9;11)].We made SAGE libraries from CD15+ leukemic myeloid progenitor cells, collecting over 106 SAGE tags, of which 209,486 were unique tags; 136,010 were known genes and ESTs, and 73,476 were novel transcripts. SAGE tags for further analysis were selected based on a 5-fold difference between patient’s samples and normal CD15+ BM; they were also statistically significantly different at the 5% level. Using these strict criteria, we identified 2,381 unique tags, of which 2,053 were known genes and ESTs, and 328 were novel transcripts that were either specific for each translocation or were common(55) SAGE tags for all 4 translocations. The major change in all translocations was a decrease in expression in leukemia cells compared with normal cells; the decrease was least in the t(8;21) cells. Changes in expression of these known genes, which fall into different gene ontology functional categories, varied by translocation. Those associated with macromolecular biosynthesis, transport and transcription were most altered in the t(8;21); those related to defense response and apoptosis were altered in the t(15;17); cell proliferation genes were most affected by the t(9;11). From this analysis, we identified the functional molecular signature of each translocation. We designed a custom microarray to validate our SAGE data analysis. Our initial microarray contained 349 probes including 212 known genes, 61 ESTs, 28 novel sequences based on our data and 48 genes reported by others. We have now included 65 additional probes that appeared to be correlated with survival. Using 63 samples with the four translocations [16 inv(16), 4 t(9;11), 20 t(15;17), 4 t(8;21) and 19 other translocations], we are validating which genes provide a robust, reproducible “fingerprint” for each translocation, for all translocations, and which ones provide reliable information related to prognosis and survival. Our results will provide new insights into genes that collaborate with each translocation to lead to a fully leukemic phenotype as well as which genes appear to provide valid prognostic information.


2002 ◽  
Vol 76 (12) ◽  
pp. 6244-6256 ◽  
Author(s):  
Joo Wook Ahn ◽  
Kenneth L. Powell ◽  
Paul Kellam ◽  
Dagmar G. Alber

ABSTRACT Gammaherpesviruses are associated with a number of diseases including lymphomas and other malignancies. Murine gammaherpesvirus 68 (MHV-68) constitutes the most amenable animal model for this family of pathogens. However experimental characterization of gammaherpesvirus gene expression, at either the protein or RNA level, lags behind that of other, better-studied alpha- and beta-herpesviruses. We have developed a cDNA array to globally characterize MHV-68 gene expression profiles, thus providing an experimental supplement to a genome that is chiefly annotated by homology. Viral genes started to be transcribed as early as 3 h postinfection (p.i.), and this was followed by a rapid escalation of gene expression that could be seen at 5 h p.i. Individual genes showed their own transcription profiles, and most genes were still being expressed at 18 h p.i. Open reading frames (ORFs) M3 (chemokine-binding protein), 52, and M9 (capsid protein) were particularly noticeable due to their very high levels of expression. Hierarchical cluster analysis of transcription profiles revealed four main groups of genes and allowed functional predictions to be made by comparing expression profiles of uncharacterized genes to those of genes of known function. Each gene was also categorized according to kinetic class by blocking de novo protein synthesis and viral DNA replication in vitro. One gene, ORF 73, was found to be expressed with α-kinetics, 30 genes were found to be expressed with β-kinetics, and 42 genes were found to be expressed with γ-kinetics. This fundamental characterization furthers the development of this model and provides an experimental basis for continued investigation of gammaherpesvirus pathology.


2017 ◽  
Vol 69 (1) ◽  
pp. 181-190 ◽  
Author(s):  
Yong Peng ◽  
Huiqin Ma ◽  
Shangwu Chen

Lycium ruthenicum Murr., which belongs to the family Solanaceae, is a resource plant for Chinese traditional medicine and nutraceutical foods. In this study, RNA sequencing was applied to obtain raw reads of L. ruthenicum fruit at different stages of ripening, and a de novo assembly of its sequence was performed. Approximately 52.45 million 100-bp paired-end raw reads were generated from the samples by deep RNA-seq analysis. These short reads were assembled to obtain 164814 contigs, and the contigs were assembled into 84968 non-redundant unigenes using the Trinity method. Assembled sequences were annotated with gene descriptions, gene ontology, clusters of orthologous group and KEGG (Kyoto Encyclopedia of Genes and Genomes)pathway terms. Digital gene expression analysis was applied to compare gene-expression patterns at different fruit developmental stages. These results contribute to existing sequence resources for Lycium spp. during the fruit-ripening stages, which is valuable for further functional studies of genes involved in L. ruthenicum fruit nutraceutical quality.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 2755-2755 ◽  
Author(s):  
Claudia D. Baldus ◽  
Michael Radmacher ◽  
Guido Marcucci ◽  
Dieter Hoelzer ◽  
Eckhard Thiel ◽  
...  

Abstract The human gene BAALC (Brain And Acute Leukemia, Cytoplasmic) is a molecular marker of hematopoietic progenitor cells and is aberrantly expressed in subsets of acute myeloid (AML) and lymphoblastic (ALL) leukemias. High mRNA expression levels of BAALC have been shown to adversely impact outcome in newly diagnosed AML patients (pts) with normal cytogenetics. To gain insight into the functional role of BAALC and its significance to normal hematopoiesis and leukemogenesis we compared gene expression profiles of normal CD34+ progenitors with those of AML and ALL blasts (using oligonucleotide microarrays; HG-U133 plus 2.0, Affymetrix, Santa Clara, CA). First we explored the regulation of BAALC expression during lineage specific maturation of in vitro differentiated human CD34+ bone marrow cells selected from healthy individuals. Microarray analyses were carried out using CD34+ cells stimulated in vitro with EPO, TPO, or G/GM-CSF to induce lineage-specific differentiation. At day 0 of culture and at three different time points during differentiation (days 4, 7, 11) cells were harvested, and if necessary purified by immunomagnetic beads and used for microarray studies. Experiments of all lineages and time points were done in triplicates. A total of 276 genes were identified showing similar changes in expression (with downregulation during differentiation) as BAALC at the three time points in all lineages with a correlation coefficient of R>0.95. This set of 276 BAALC co-expressed genes was investigated in an AML expression dataset generated from 51 adult pts with newly diagnosed de novo AML and normal cytogenetics (Cancer and Leukemia Group B). After exclusion of probesets expressed in fewer than 20% of pt samples, 21 probesets representing 14 named genes 6 of which are known to be involved in AML (BAALC, CD34, CD133, SOX4, ERG, SEPT6) and 4 implicated in lymphoid development (TCF4, SH2D1A, ITM2A, ITM2C) were found to be overexpressed (a significance level of P=0.01 was used) in pts of the highest third compared to pts of the lowest third of BAALC expression values as measured by real-time RT-PCR. We next applied these same 21 BAALC co-expressed probesets to an ALL expression dataset generated from 66 adult pts with newly diagnosed standard risk B-lineage precursor ALL (from the German ALL GMALL study group). A BAALC specific cluster uncovered 7 probesets representing 4 different co-expressed genes: BAALC, CD133, and the transcription factors ERG and TCF4. Thus, applying a BAALC specific expression signature to AML and ALL gene expression profiles revealed 3 genes (CD133, ERG, TCF4), which are highly associated with BAALC in myeloid and lymphoid blasts. Interestingly in non-malignant lymphoid and myeloid cells the oncogeneic ETS transcription factor ERG has shown specificity to immature cells, while its mechanistical role in leukemogenesis remains unknown. ERG and TCF4 may directly regulate BAALC and indicate a specific pathway implicated in leukemogenesis, while co-expression of CD133 and BAALC suggests shared stem cell characteristics. Functional studies are in progress to further explore these findings.


2004 ◽  
Vol 16 (2) ◽  
pp. 247-255 ◽  
Author(s):  
Matthew S. Wong ◽  
R. Michael Raab ◽  
Isidore Rigoutsos ◽  
Gregory N. Stephanopoulos ◽  
Joanne K. Kelleher

An important objective in postgenomic biology is to link gene expression to function by developing physiological networks that include data from the genomic and functional levels. Here, we develop a model for the analysis of time-dependent changes in metabolites, fluxes, and gene expression in a hepatic model system. The experimental framework chosen was modulation of extracellular glutamine in confluent cultures of mouse Hepa1-6 cells. The importance of glutamine has been demonstrated previously in mammalian cell culture by precipitating metabolic shifts with glutamine depletion and repletion. Our protocol removed glutamine from the medium for 24 h and returned it for a second 24 h. Flux assays of glycolysis, the tricarboxylic acid (TCA) cycle, and lipogenesis were used at specified intervals. All of these fluxes declined in the absence of glutamine and were restored when glutamine was repleted. Isotopomer spectral analysis identified glucose and glutamine as equal sources of lipogenic carbon. Metabolite measurements of organic acids and amino acids indicated that most metabolites changed in parallel with the fluxes. Experiments with actinomycin D indicated that de novo mRNA synthesis was required for observed flux changes during the depletion/repletion of glutamine. Analysis of gene expression data from DNA microarrays revealed that many more genes were anticorrelated with the glycolytic flux and glutamine level than were correlated with these indicators. In conclusion, this model may be useful as a prototype physiological regulatory network where gene expression profiles are analyzed in concert with changes in cell function.


2006 ◽  
Vol 84 (4) ◽  
pp. 463-466 ◽  
Author(s):  
Ana C. D’Alessio ◽  
Moshe Szyf

The epigenome, which comprises chromatin, associated proteins, and the pattern of covalent modification of DNA by methylation, sets up and maintains gene expression programs. It was originally believed that DNA methylation was the dominant reaction in determining the chromatin structure. However, emerging data suggest that chromatin can affect DNA methylation in both directions, triggering either de novo DNA methylation or demethylation. These events are particularly important for the understanding of cellular transformation, which requires a coordinated change in gene expression profiles. While genetic alterations can explain some of the changes, the important role of epigenetic reprogramming is becoming more and more evident. Cancer cells exhibit a paradoxical coexistence of global loss of DNA methylation with regional hypermethylation.


2019 ◽  
Author(s):  
Roman U. Goz ◽  
Ari Silas ◽  
Sara Buzel ◽  
Joseph J. LoTurco

AbstractBACKGROUNDFrequent de-novo somatic mutations in major components (PI3KCA, AKT3, TSC1, TSC2, mTOR, BRAF) of molecular pathways crucial for cell differentiation, proliferation, growth and migration (mTOR, MAPK) has been previously implicated in malformations of cortical development (MCDs) and low-grade neuroepithelial tumors (LNETs) 1–7. LNETs are the most frequent tumors found in patients undergoing resective surgery for refractory epilepsy treatment. BRAFV600E is found in up to 70% of LNETs. Previous studies suggest a causal relationship between those de-novo somatic mutations in mTOR, MAPK pathways and seizures occurrence, even without presence of malformation or a tumor 2, 3, 8–13. Recently Koh and colleagues 14 showed that BRAFV600E mutation may cause seizures through activation of RE1-silecing transcription factor (REST). Additionally, they showed a significant downregulation of synaptic transmission and plasticity pathways and decreased expression of multiple ion channels subunits including HCN1, KCNQ3, SCN2A and SCN3B. The downregulation of those genes including GABA receptors subunits and protein expression specific to interneurons subpopulations (SST, VIP) suggests that a dysregulated inhibitory circuits are responsible for seizures in GGs. The experimental manipulation - In-Utero electroporation of episomal activating Cre plasmids that they used to test their hypothesis in mice however activated mutant BRAFV637 only in excitatory neurons. And the downregulated genes in mice were confirmed by qRT-PCR in the whole tissue samples. The question of how electrophysiological properties of the affected and surrounding neurons are changed were not addressed. The changes in ion conductances and neuronal circuits responsible for seizures could be only inferred from gene expression profiles. Purpose of the current work was to investigate how overactive human BRAFV600E mutated protein incorporated into the mouse genome through piggyBase transposition increase neuronal excitability in ex-vivo mouse cortical slices and whether it induces histopathological features and gene expression profile alteration observed in low-grade neuroepithelial tumors (LNETs).METHODSUsing In-Utero Electroporation we have introduced human BRAFV600E protein into radial glia progenitors in mouse embryonic cortex on the background of piggyBac transposon system that allows incorporation of the DNA sequence of interest into the genome. Immunohistochemistry was used for examination of known markers in LNETs. RNA sequencing on Illumina NextSeq 500 was used to examine alterations in gene expression profiles. Whole-cell current- and voltage-clamp was used to examine changes in electrophysiological properties. Unsupervised Hierarchical Clustering Analysis was used to examine grouping of different conditions based on their gene expression profile and electrophysiological properties. Video electrocorticographic recordings were used to test whether BRAFV600E transgenic mice have spontaneous seizures.RESULTSUnder GLAST driving promoter BRAFV600E induced astrogenesis, caused morphological alterations in transgenic cells akin to balloon-like cells, and delayed neuronal migration. Under NESTIN driver promoter BRAFV600E increased neurogenesis, induced balloon-like cells and caused some cells to remain close to the lateral ventricle displaying large soma size compared to neurons in the upper cortical layers. Some of the balloon-like cells were immunopositive for astroglial marker glial fibrillary acidic protein (GFAP), and for both upper and lower cortical layers markers (Cux1 and Ctip2). Gene ontology analysis for BRAFV600E gene expression profile showed that there is a tissue-wide increased inflammatory immune response, complement pathway activation, microglia recruitment and astrocytes activation, which supported increased immunoreactivity to microglial marker iba1, and to GFAP respectively. In current clamp BRAFV600E neurons have increased excitability properties including more depolarized resting membrane potential, increased input resistance, low capacitance, low rheobase, low action potential (AP) voltage threshold, and increased AP firing frequency. Additionally, BRAFV600E neurons have increased SAG and rebound excitation, indicative of increased hyperpolarization activated depolarizing conductance (IH), which is confirmed in voltage-clamp. The sustained potassium current sensitive to tetraethylammonium was decreased in BRAFV600E neurons.. In 4 out of 59 cells, we have also observed a post-action potential depolarizing waves, frequencies of which increased in potassium current recording when Ca2+ was substituted to Co2+ in the extracellular solution (5/24). We show that using 20 electrophysiological properties BRAFV600E neurons segregate separately from other conditions. Comparison of electrophysiological properties of those neurons with neurons bearing somatic mutations in mechanistic target of rapamycin (MTOR) pathway regulatory components, overactivation of which is been shown in malformations of cortical development (MCDs), showed that expression of PIK3CAE545K under GLAST+ promoter and TSC1 knockdown (KD) with CRISPR-Cas9 have different effects on neuronal excitability.


2021 ◽  
Author(s):  
Thai-Hoang Pham ◽  
Yue Qiu ◽  
Jiahui Liu ◽  
Steven Zimmer ◽  
Eric O'Neill ◽  
...  

Chemical-induced gene expression profiles provide critical information on the mode of action, off-target effect, and cellar heterogeneity of chemical actions in a biological system, thus offer new opportunities for drug discovery, system pharmacology, and precision medicine. Despite their successful applications in drug repurposing, large-scale analysis that leverages these profiles is limited by sparseness and low throughput of the data. Several methods have been proposed to predict missing values in gene expression data. However, most of them focused on imputation and classification settings which have limited applications to real-world scenarios of drug discovery. Therefore, a new deep learning framework named chemical-induced gene expression ranking (CIGER) is proposed to target a more realistic but more challenging setting in which the model predicts the rankings of genes in the whole gene expression profiles induced by de novo chemicals. The experimental results show that CIGER significantly outperforms existing methods in both ranking and classification metrics for this prediction task. Furthermore, a new drug screening pipeline based on CIGER is proposed to select approved or investigational drugs for the potential treatments of pancreatic cancer. Our predictions have been validated by experiments, thereby showing the effectiveness of CIGER for phenotypic compound screening of precision drug discovery in practice.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 784-784
Author(s):  
Fenghuang Zhan ◽  
Sisi Kapp ◽  
Y. Huang ◽  
Elias J. Anassie ◽  
H. Xu ◽  
...  

Abstract Virtually all patients with multiple myeloma (MM) eventually develop drug resistance. It is unclear whether drug resistance derives from the emergence of a subclone with de novo, genetically programmed resistance, or whether it develops through accumulation of genetic lesions or epigenetic mechanisms facilitated by microenvironment interactions. We investigated changes in gene expression profiles (GEP) that accompany drug resistance by comparing microarray signatures of purified plasma cells from newly diagnosed MM patients before therapy and after relapse. Paired samples (n=20) were obtained from treated with high-dose chemotherapy and tandem PBSCT. RNA was isolated from plasma cells labeled and hybridized to U133Plus2.0 high-density oligonucleotide microarrays capable of investigating ~33,000 genes. Baseline and relapse samples were grouped together and the GEP of the two groups compared. Only genes with Chi-square >3.84 (P <0.05) or present in >50% of samples were retained. 15,000 genes were analyzed with SAM in R (two-class paired case). The cut-off point was the smallest such that the estimate of the false positives was zero. A total of 234 genes were significant by SAM, with a median FDR of 1% and a 90th percentile FDR of 3%. Of the 234 genes, 199 were down-regulated and 35 were up-regulated at relapse. Thus, with 90% confidence, the FDR among genes found significant was no higher than 3%. Chromosomal translocations involving the immunoglobulin locus are likely to be initiating events in nearly half of all MM cases and we have previously shown that GEP is a robust method for identifying all the common translocations in MM. Because translocations result in the spiked expression of target oncogenes and represent useful tumor-specific landmarks, we also investigated the distribution of the common spikes in both baseline and relapse samples. For the most part, translocations present at baseline were also present at relapse. As expected from our previous work, whereas MMSET spikes were consistently found associated with t(4;14)(p16;q32), FGFR3 spikes could be absent at baseline and lost during progression. A CCND3 spike, not present in the baseline sample, appeared in the relapse sample. This is consistent with this translocation being a secondary event associated with tumor progression. MAF expression was lost in one relapse. This was unexpected and may be due to mislabeling. No MAFB spikes were found in any of the baseline or relapse samples. Interestingly, at the time of this analysis, there were no CCND1 spikes in the relapse cases, consistent with this translocation being a good prognostic marker. Thus, significant and recurrent changes in GEP accompany the development of drug resistance in MM. Surprisingly, the majority of altered genes were down-regulated in relapse. The significance of this finding is not clear, but may reflect loss of chromosome material and/or epigenetic silencing of genes through increased DNA methylation. Validation of our findings may provide important insight into the mechanisms of MM drug resistance.


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