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At least 1,621 records · Page 90Linked to original sources

Analysis of Affymetrix GeneChip data using amplified RNA.

When small biological samples are collected by microdissection or other methods, amplification techniques are required to provide sufficient target for hybridization to expression arrays. One such technique is to perform two successive rounds of T7-based in vitro transcription. However the use of random primers, required to regenerate cDNA from the first round of transcription, results in shortened copies of cDNA from which the 5' end is missing. In this paper we describe an experiment designed to compare the quality of data obtained from labeling small RNA samples using the Affymetrix Two-Cycle Eukaryotic. Target Labeling procedure to that of data obtained using the One-Cycle Eukaryotic Target Labeling protocol. We utilized different preprocessing algorithms to compare the data generated using both labeling methods and present a new algorithm that improves upon existing ones in this setting.

Algorithms↗

On the mechanism of oligonucleotide-primed RNA synthesis. II. Synthesis of specific primer-initiated RNA copies suitable for DNA sequence analysis.

The effect of temperature and primer concentration on oligonucleotide-primed transcription has been studied using the separated strands of a well-defined natural DNA as template. Results were similar to those obtained in the homopolymer-directed model systems. At high temperature and excess primer concentration mainly primer-initiated RNA copies are synthesized. Omission of one ribonucleoside triphosphate also makes the termination specific. The unique RNA fragments thus obtained have been used to determine the perfectly-repeated sequence of 68 base pairs in this DNA.

Base Sequence↗

Enzymatically amplified surface plasmon resonance imaging method using RNase H and RNA microarrays for the ultrasensitive detection of nucleic acids.

A novel surface enzymatic amplification method that utilizes RNA microarrays in conjunction with the enzyme RNase H is developed for the ultrasensitve detection and analysis of target DNA molecules. The enzyme RNase H is shown to selectively and repeatedly destroy RNA from RNA-DNA heteroduplexes on gold surfaces; when used in conjunction with the label-free technique of surface plasmon resonance imaging, multiple DNA targets can be detected at a concentration of 10 fM on a single chip. In addition, this method is utilized for the sequence-specific detection of the TSPY gene in both purified and unpurified PCR products. Finally, in a series of kinetics measurements, the initial rate of hydrolysis is shown to depend directly on the surface concentration of DNA-RNA heteroduplexes.

Base Sequence↗

Rapid nucleotide sequence analysis of the small subunit ribosomal RNA of Toxoplasma gondii: evolutionary implications for the Apicomplexa.

A method for obtaining a large proportion of the nucleotide sequence of the small subunit ribosomal RNA (srRNA) was applied to the obligate intracellular protozoon Toxoplasma gondii. The method uses reverse transcription of as little as 8 micrograms of total cellular RNA. This fast, efficient method has numerous advantages over traditional gene cloning methods when nucleotide sequences are required for evolutionary studies. A phylogenetic analysis of the srRNA sequence data showed that T. gondii is not especially closely related to any other organism for which srRNA sequences are available, including another member of the Apicomplexa.

Animals↗

Laser capture microdissection-generated target sample for high-density oligonucleotide array hybridization.

Current advances in biomolecular technology allow precise genetic fingerprinting of specific cells responsible for the pathogenesis of human diseases. This study demonstrates the feasibility of generating target samples from laser capture microdissection (LCM) tissues suitable for hybridization of high-density oligonucleotide arrays for gene expression profiling. RNA was successfully isolated by LCM from three paired specimens of oral cancer and linearly amplified using T7 RNA polymerase. Evaluation of the cDNA revealed that five of five cellular maintenance transcripts are detected. Biotinylated cRNA was generated and hybridized to the human Test 1 GeneChip probe arrays, which demonstrated that the RNA is of sufficient quality and integrity to warrant further analysis. Subsequent hybridization of the samples to the HuGenFL GeneChip probe arrays revealed that 26.5%-33.0% of the approximately 7000 represented genes are expressed in each of the six samples. These results demonstrate that LCM-generated tissues can generate sufficient quality cRNA for high-density oligonucleotide microarray analysis, an important step in determining comprehensive gene expression profiling using this high-throughput technology.

Biotinylation↗

Cloning and functional analysis of the rat ornithine decarboxylase-encoding gene.

We have isolated a functional gene (ODC) encoding rat ornithine decarboxylase (ODC; EC 4.1.1.17) from a partial rat liver genomic DNA bank. The entire gene is located on a 7776-bp BamHI fragment and was shown to comprise twelve exons, of which ten encode the ODC protein (exons III-XII). Introduction of the BamHI fragment into an ODC-deficient hamster cell line restores ODC activity, indicating that the gene is functional. Comparison of the structure and nucleotide (nt) sequence of the rat ODC gene with recently reported mouse ODC genes, reveals that the gene is highly conserved. Primer extension analysis and RNA sequencing demonstrates that the transcription start point of rat ODC mRNA is located 303 nt upstream from the A residue in the start codon. Compared with our previously published sequence of the rat ODC cDNA, this indicates that a short sequence at the extreme 5' end of our cDNA clone represents a cloning artefact. The correct 5' leader of ODC mRNA, which is very G + C rich (62%), can be folded into a highly stable secondary structure, which may play a role in the translational control of ODC activity. Like in mouse, the promoter region of rat ODC is also extremely rich in G + C, and contains a TATA box and several putative SP1-binding sites. Possible binding sites for other transcription factors, like AP-1, AP-2 and CREB, can also be observed in the promoter region and, moreover, in the first intron.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

Adipose tissue gene expression in patients with a loss of function mutation in the leptin receptor.

BACKGROUND: In order to maintain body weight regulation, leptin directly or indirectly signals nutritional changes to key organs, but little is known about its target genes in human adipose tissue. Leptin receptor loss of function is a unique way to explore the role of leptin in the regulation of adipose tissue. OBJECTIVE: We studied the consequences of the absence of leptin signaling on adipocyte gene expression in two girls with a mutation in the leptin receptor. The expression levels of the ob gene and adipocyte transcription factors (SREBP1c, C/EPBalpha, beta, PPARgamma1, gamma2) were quantified by RT-PCR in subcutaneous adipose tissue of these patients and of 10 morbidly obese women. RESULTS: Ob mRNA levels in subjects lacking the leptin receptor were not overexpressed but were in the range that could be expected from their BMI (58 and 26 amol/ micro g total mRNA, range in obese women: 26-69). Expression of the five transcription factors was also in the same range in the affected patients and in morbidly obese women (7.7 and 6.8 amol/ micro g total mRNA, range: 2.2-9.4 for SREBP1c, 159 and 51 range: 51-406 for C/EPBalpha, 6.1 and 3.3 range: 2.4-24.8 for C/EPBbeta, 16.7 and 27.4 range: 9.4-29.7 for PPARgamma1 and 1.7 and 5.4 amol/ micro g total mRNA range: 1.7-8.8 for PPARgamma2). Significant correlation was found between the mRNA levels of leptin and PPARgamma2 and leptin and C/EBPalpha whereas no correlation was observed between leptin and SREBP1c, PPARgamma1, or C/EBPbeta mRNA levels. CONCLUSION: In patients lacking leptin signaling, the fact that ob gene expression is adequately adapted to their body fat mass argues against a direct negative feedback loop in the regulation of leptin expression in humans. The normal expression of several transcription factors, known to be dependent of the nutritional status, suggests that leptin is not a major contributor of their in vivo transcriptional regulation in human adipose tissue.

Adipocytes↗

Molecular characterization of embryonic gonads by gene expression profiling in Drosophila melanogaster.

In many animal species, germ-line progenitors associate with gonadal somatic cells to form the embryonic gonads (EGs) that later develop into functional organ producing gametes. To explore the genetic regulation of the germ-line development, we initiated a comprehensive identification and functional analysis of the genes expressed within the EGs. First, we generated a cDNA library from gonads purified from Drosophila embryos by FACS. Using this library, we catalogued the genes expressed in the gonad by EST analysis. A total of 17,218 high-quality ESTs representing 3,051 genes were obtained, corresponding to 20% of the predicted genes in the genome. The EG transcriptome is unexpectedly distinct from that of adult gonads and includes an extremely high proportion of retrotransposon-derived transcripts. We verified 101 genes preferentially expressed in the EGs by whole-mount in situ hybridization. Within this subset, 39 and 58 genes were expressed predominantly in germ-line and somatic cells, respectively, whereas four genes were expressed in the both cell lineages. The gonad-enriched genes encompassed a variety of predicted functions. However, genes implicated in SUMOylation and protein translation, including germ-line-specific ribosomal proteins, are preferentially expressed in the germ line, whereas the expression of various retrotransposons and RNAi-related genes are more prominent in the gonadal soma. These transcriptome data are a resource for understanding the mechanism of various cellular events during germ-line development.

Animals↗

A search for H/ACA snoRNAs in yeast using MFE secondary structure prediction.

MOTIVATION: Noncoding RNA genes produce functional RNA molecules rather than coding for proteins. One such family is the H/ACA snoRNAs. Unlike the related C/D snoRNAs these have resisted automated detection to date. RESULTS: We develop an algorithm to screen the yeast genome for novel H/ACA snoRNAs. To achieve this, we introduce some new methods for facilitating the search for noncoding RNAs in genomic sequences which are based on properties of predicted minimum free-energy (MFE) secondary structures. The algorithm has been implemented and can be generalized to enable screening of other eukaryote genomes. We find that use of primary sequence alone is insufficient for identifying novel H/ACA snoRNAs. Only the use of secondary structure filters reduces the number of candidates to a manageable size. From genomic context, we identify three strong H/ACA snoRNA candidates. These together with a further 47 candidates obtained by our analysis are being experimentally screened.

Algorithms↗

Identification of potential biomarkers and mechanisms for keloid disorder based on comprehensive bioinformatics analysis and machine learning algorithms.

BACKGROUND: Keloid disorder (KD) encompasses a spectrum of fibroproliferative dermal conditions, the pathogenesis remains complex and incompletely understood. This study sought to identify biomarkers and potential therapeutic targets for KD through an integrative bioinformatics approach and machine learning analysis of RNA sequencing data. METHODS: RNA sequencing was performed on skin tissue samples from 13 patients with KD and 14 healthy controls. Using weighted gene co-expression network analysis and differential expression analysis revealed differentially expressed key module genes, and the CytoHubba plugin identified candidate genes. Subsequently analyzed using least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) methods to pinpoint feature genes associated with KD. Following this, biomarkers were determined through expression level validation, enrichment analysis, and immune infiltration analysis. RESULTS: A total of 420 differentially expressed key module genes were identified, and the top 10 genes with DMNC values were selected as candidate genes. Five feature genes were selected through LASSO and SVM-RFE, with NID2, MFAP2, COL8A1, and P4HA3 showing significant expression differences between KD and control samples, along with consistent expression patterns across datasets, identified as potential biomarkers. These four biomarkers were proved to possess high diagnostic potential, and they were found to exhibit significant positive correlations with one another. Functional enrichment analysis indicated that the primary KEGG pathways associated with these biomarkers included "steroid hormone biosynthesis" and "cytokine-cytokine receptor interaction." Moreover, immune infiltration analysis revealed that the four biomarkers were negatively correlated with type 17 T helper cells and positively correlated with 15 immune cell types, including activated B cells and central memory CD4 T cells. CONCLUSION: In conclusion, NID2, MFAP2, COL8A1, and P4HA3 were identified as key biomarkers for KD, offering new avenues for more targeted and effective diagnostic and therapeutic strategies for managing this condition.

Humans↗

ZNF180 modulates tumor intrinsic immunotherapy resistance in melanoma through driving plasticity.

BACKGROUND: Based on our previous study, we have identified ZNF180, a zinc finger protein, as a pro-tumorigenic regulator in primary melanoma and a marker for poor prognosis. Herein, we report that ZNF180-regulated pathway, hence ZNF180-regulome, underlies resistance towards immune checkpoint inhibitions (ICIs). METHODS: To investigate regulatory roles of ZNF180 to confer these immune suppressive phenotypes, we performed ZNF180 knock-down in melanoma cells in vitro with different genetic backgrounds, namely A375 (BRAF-mutant) and SKMEL147 (NRAS-mutant) cells, and performed RNA- and ATAC-sequencing. We performed integrative analysis of RNA- and ATAC-sequencing data with publicly available sequencing data from ICI-treated cohorts to construct comprehensive model of ZNF180-regulome and its impacts on immune microenvironment. Further, we performed ZNF180 silencing in immune competent Yumm1.7 murine model to confirm the changes in immune microenvironments. RESULTS: ZNF180-regulome was predictive of ICI responses in independent bulk sequencing cohorts, and ZNF180+ tumors persisted after the therapy with immune-suppressive features such as MHC-I loss and CD155 expressions, the primary ligand to TIGIT inhibitory receptor. Further, ZNF180 silencing revealed its regulations on AP-1 transcription factors to drive melanoma reprogramming towards de-differentiated MITFlowAXLhigh cells, an established melanoma subtypes associated with recurrence and ICI resistance. In tandem, we observed that ZNF180+ tumor neighborhood significantly excluded with CD4 T-cells in metastatic tumor, and its silencing in immune competent murine model increased CD4 helper T-cell infiltrations with significant tumor regression in vivo. CONCLUSION: Collectively, these results indicate ZNF180 is a tumor intrinsic regulator of melanoma plasticity to drive de-differentiated phenotypes with immune-suppressive features including loss of immunogenicity, T-cell inhibitory signals through TIGIT/CD155 checkpoint and exclusion of CD4 helper T-cells. As ZNF180-regulome manifests in non-metastatic melanoma in contrast to the current focus of standard-of-care ICI on the metastatic disease, these results establish ZNF180-regulome as a biomarker and novel therapeutic avenue for early-stage, non-metastatic melanoma to intervene ICI resistance.

Immune checkpoint inhibition↗

Use of SMART-generated cDNA for differential gene expression studies.

A major limitation of gene expression profiling using microarrays has been the substantial amount of RNA required for standard probe labeling techniques, especially when working with clinical samples such as biopsies, microdissected tumors, and laser-captured cells. CLONTECH's PCR-based SMART technology (Switch Mechanism At the 5'end of RNA Templates) bypasses this problem by allowing accurate cDNA amplification from nanogram quantities of total RNA. This amount of RNA ensures that SMART amplification yields a pool of cDNA, which reflects the sample's original complexity and relative abundance of the original RNA sample.

Cell Separation↗

Criteria for effective design, construction, and gene knockdown by shRNA vectors.

BACKGROUND: RNA interference (RNAi) technology is a powerful methodology recently developed for the specific knockdown of targeted genes. RNAi is most commonly achieved either transiently by transfection of small interfering (si) RNA oligonucleotides, or stably using short hairpin (sh) RNA expressed from a DNA vector or virus. Much controversy has surrounded the development of rules for the design of effective siRNA oligonucleotides; and whether these rules apply to shRNA is not well characterized. RESULTS: To determine whether published algorithms for siRNA oligonucleotide design apply to shRNA, we constructed 27 shRNAs from 11 human genes expressed stably using retroviral vectors. We demonstrate an efficient method for preparing wild-type and mutant control shRNA vectors simultaneously using oligonucleotide hybrids. We show that sequencing through shRNA vectors can be problematic due to the intrinsic secondary structure of the hairpin, and we determine a strategy for effective sequencing by using a combination of modified BigDye chemistries and DNA relaxing agents. The efficacy of knockdown for the 27 shRNA vectors was evaluated against six published algorithms for siRNA oligonucleotide design. Our results show that none of the scoring algorithms can explain a significant percentage of variance in shRNA knockdown efficacy as assessed by linear regression analysis or ROC curve analysis. Application of a modification based on the stability of the 6 central bases of each shRNA provides fair-to-good predictions of knockdown efficacy for three of the algorithms. Analysis of an independent set of data from 38 shRNAs pooled from previous publications confirms these findings. CONCLUSION: The use of mixed oligonucleotide pairs provides a time and cost efficient method of producing wild type and mutant control shRNA vectors. The addition to sequencing reactions of a combination of mixed dITP/dGTP chemistries and DNA relaxing agents enables read through the intrinsic secondary structure of problematic shRNA vectors. Six published algorithms for siRNA oligonucleotide design that were tested in this study show little or no efficacy at predicting shRNA knockdown outcome. However, application of a modification based on the central shRNA stability should provide a useful improvement to the design of effective shRNA vectors.

Algorithms↗

SAMSON: a software package for the biopolymer primary structure analysis.

The SAMSON package is a tool for advanced analysis of primary DNA, RNA and protein structures. The package consists of 16 programs performing statistical analysis and comparison of biopolymer sequences, search for homologies, translation of DNA and RNA sequences into amino acid sequences, splicing of RNA sequences and restriction map construction, recognition of functionally related sites in biopolymer molecules, textual analysis of DNA and RNA regulatory sites and prediction of intermolecular hybridization sites in DNA and RNA molecules.

Algorithms↗

Human and simian adenoviruses: phylogenetic inferences from analysis of VA RNA genes.

Adenovirus VA RNA genes have primary sequence constraints due to internal promoter regions and a high degree of secondary structure in the RNA product. To determine the relationships between human and simian adenoviruses, the VA RNA genes of several primate adenoviruses were characterized and compared to those sequences already published. Human adenoviruses of subgenera A, B:2, and F have only one VA RNA gene, whereas human adenoviruses of subgenera B:1, C, D, and E have two. The genomes of 12 monkey adenoviruses were found to have only one VA RNA gene, whereas the genomes of six representative chimpanzee adenoviruses were each found to have two VA RNA genes. Phylogenetic analysis of representative VA RNA gene sequences individually, irrespective of their strain of origin or partnering VA RNA gene, gave the following inferences. (1) The single VA RNA genes of human adenovirus subgenera A and F are most closely related to those of monkey adenoviruses. (2) The VA RNAI genes of human adenoviruses in subgenera B:1, D, and E, and also the single VA RNA genes of subgenus B:2 probably diverged from a common ancestral VA RNA gene. (3) This ancestral gene most likely reduplicated to give the precursor of all VA RNAII genes, the evidence for which has been almost totally lost in subgenus B:2 adenoviruses. (4) The two VA RNA genes of human subgenus C adenoviruses are relatively distant from each other phylogenetically. Since the Ad2 and Ad5 VA RNAI genes have a higher identity to the single VA RNA gene of SAV13 (SV36) than to those of any of the other human adenoviruses, these genes may have entered the human subgenus C adenovirus genome by substitution involving recombination with a simian adenovirus. The results of this study suggest that a renewed appraisal of VA RNA function in adenoviruses other than Ad2 and Ad5 may be necessary.

Adenoviruses, Human↗

Cloning and expression of the mouse PIP49 (Pancreatitis Induced Protein 49) mRNA which encodes a new putative transmembrane protein activated in the pancreas with acute pancreatitis.

We have used a microarray-based strategy to characterize, at the molecular level, the pancreatic emergency program set up by the pancreatic cells in response to pancreatitis. In this strategy, the phenotype of the pancreatitis-affected pancreas is established by characterization of a large number of its transcripts using a high-density mouse cDNA microarray. This method allows identification of transcripts differentially expressed during pancreatitis. We describe here the cloning, sequencing, and expression analysis of a new gene, named PIP49 (Pancreatitis Induced Protein 49). Its very strong expression is specific of acinar cells and occurs rapidly after initiation of the acute phase of pancreatitis. Analysis of its primary and secondary structures strongly suggests that PIP49 encodes a putative transmembrane protein.

Acute Disease↗

Gene expression profiles in young adult Ciona intestinalis.

Comparison of 12,230 expressed sequence tags (ESTs) of 3' ends of cDNA clones derived from young adults of Ciona intestinalis allowed us to categorize them into 976 independent clusters. When the 5'-end sequences of 10,400 ESTs of the 976 clusters were compared with the sequences in databases, 406 of the clusters showed significant matches ( P < E-15) with reported proteins with defined functions, while 117 showed matches with putative proteins for which there is not enough information to categorize their function, and 453 had no significant sequence similarities to known proteins. The 406 clusters with sequence similarity to proteins with defined functions consisted of 304 clusters related to proteins with functions common to many kinds of cells, 73 related to proteins associated with cell-cell communication and 29 related to transcription factors. Spatial expression of all of the 976 clusters was examined by a newly improved whole-mount in situ hybridization method. A total of 430 clusters did not show distinct in situ hybridization signals, while 122 clusters showed ubiquitous distribution of signals, and 253 clusters showed signals in multiple tissues. The remaining 171 clusters showed signals specific to a certain organ or tissue: 16 showed epidermis-specific expression, 3 were specific to the neural complex, 1 to heart, 6 to body-wall muscle, 94 to pharyngeal gill, 3 to esophagus, 26 to stomach, 1 to intestine and 21 to endostyle. Many of these organ-specific genes encode proteins with no sequence similarity to known proteins. The present analysis thus highlights characteristic gene expression profiles of Ciona young adults and provides not only molecular markers for organs and tissues but also transcriptomic information useful for further genomic analyses of this model organism.

Animals↗

Plac8 and Plac9, novel placental-enriched genes identified through microarray analysis.

Microarray expression profiling of a collection of 15,000 mouse genes with placental and embryonic RNAs revealed candidates for placental-enriched genes, three of which we have confirmed and further characterized. One, Plac1, strongly expressed in all trophoblast-derived cells in the placenta, has been described earlier (Genomics 68 (2000) 305). Here we report that of the other two, Plac8 expression is restricted to the spongiotrophoblast layer during development, whereas Plac9 is weakly expressed though highly enriched in placenta. For both, cDNAs with complete open reading frames were recovered and exon-intron structures inferred from comparisons of mouse cDNA and genomic sequence. The predicted proteins (112 and 108 amino acids) both contain putative signal peptides, with a coiled-coil segment of mPLAC9 as the only other detected motif. Genomic sequence comparisons reveal that in addition to an apparent pseudogene on chromosome 1, Plac8 is expressed at mouse cytoband 5e3. It is tightly conserved in human in a syntenically equivalent ortholog at 4q21.23. Plac9 is present in a single copy on chromosome 14, with a syntenically equivalent human ortholog at 10q22.3. Putative promoter regions up to 10 kb 5' of the transcription units for Plac1, Plac8, and Plac9 contain sites for widely-expressed transcription factors which, by analogy to other instances, may be sufficient to explain placental enrichment.

Amino Acid Sequence↗