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1.
BMC Bioinformatics ; 22(Suppl 11): 310, 2021 Oct 21.
Artigo em Inglês | MEDLINE | ID: mdl-34674628

RESUMO

BACKGROUND: Lately, high-throughput RNA sequencing has been extensively used to elucidate the transcriptome landscape and dynamics of cell types of different species. In particular, for most non-model organisms lacking complete reference genomes with high-quality annotation of genetic information, reference-free (RF) de novo transcriptome analyses, rather than reference-based (RB) approaches, are widely used, and RF analyses have substantially contributed toward understanding the mechanisms regulating key biological processes and functions. To date, numerous bioinformatics studies have been conducted for assessing the workflow, production rate, and completeness of transcriptome assemblies within and between RF and RB datasets. However, the degree of consistency and variability of results obtained by analyzing gene expression levels through these two different approaches have not been adequately documented. RESULTS: In the present study, we evaluated the differences in expression profiles obtained with RF and RB approaches and revealed that the former tends to be satisfactorily replaced by the latter with respect to transcriptome repertoires, as well as from a gene expression quantification perspective. In addition, we urge cautious interpretation of these findings. Several genes that are lowly expressed, have long coding sequences, or belong to large gene families must be validated carefully, whenever gene expression levels are calculated using the RF method. CONCLUSIONS: Our empirical results indicate important contributions toward addressing transcriptome-related biological questions in non-model organisms.


Assuntos
Perfilação da Expressão Gênica , Transcriptoma , Biologia Computacional , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Fluxo de Trabalho
2.
Methods Mol Biol ; 1724: 77-96, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29322442

RESUMO

Individual mRNA molecules can be imaged in fixed cells by hybridization with multiple, singly labeled oligonucleotide probes, followed by computational identification of fluorescent signals. This approach, called single-molecule RNA fluorescence in situ hybridization (smRNA FISH), allows subcellular localization and absolute quantification of RNA molecules in individual cells. Here, we describe a simple smRNA FISH protocol for two-color imaging of a circular RNA, CDR1as, simultaneously with an unrelated messenger RNA. The protocol can be adapted to circRNAs that coexist with overlapping, noncircular mRNA isoforms produced from the same genetic locus.


Assuntos
Regulação da Expressão Gênica , Hibridização in Situ Fluorescente/métodos , RNA Longo não Codificante/genética , RNA/genética , Análise de Célula Única/métodos , Humanos , RNA Circular
3.
Front Plant Sci ; 8: 779, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28555149

RESUMO

The strawberry is an important fruit worldwide; however, the development of the strawberry industry is limited by fungal disease. Anthracnose is caused by the pathogen Colletotrichum gloeosporioides and leads to large-scale losses in strawberry quality and production. However, the transcriptional response of strawberry to infection with C. gloeosporioides is poorly understood. In the present study, the strawberry leaf transcriptome of the 'Yanli' and 'Benihoppe' cultivars were deep sequenced via an RNA-seq analysis to study C. gloeosporioides resistance in strawberry. Among the sequences, differentially expressed genes were annotated with Gene Ontology terms and subjected to pathway enrichment analysis. Significant categories included defense, plant-pathogen interactions and flavonoid biosynthesis were identified. The comprehensive transcriptome data set provides molecular insight into C. gloeosporioides resistance genes in resistant and susceptible strawberry cultivars. Our findings can enhance breeding efforts in strawberry.

4.
Cancer Genomics Proteomics ; 13(1): 63-8, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26708600

RESUMO

BACKGROUND: miRNAs play important roles in multiple biological processes, and deregulation has been linked to several human diseases, including cancer. Studying changes in miRNA expression in cancer development is commonly performed in vitro in human cancer cell lines using quantitative polymerase chain reaction (qPCR), a method requiring the use of a robust reference gene that displays stable expression across all samples. MATERIALS AND METHODS: Using the NormFinder software, a selection of commonly used endogeneous controls and miRNAs were tested in six human cancer cell lines to identify for the most suitable gene for use as a reference. RESULTS: The frequently used endogenous control U6B small nuclear RNA (RNU6B) was found to be an unsuitable reference for normalization. The most suitable single endogeneous control identified was miR-25-3p, whereas the best combination of two endogeneous controls was miR-25-3p and miR-93-5p. CONCLUSION: We identified a single and a pair of miRNAs suitable for use as endogenous controls when performing qPCR-based miRNA expression analyses in human cancer cell lines.


Assuntos
Perfilação da Expressão Gênica/métodos , MicroRNAs/análise , MicroRNAs/genética , Reação em Cadeia da Polimerase em Tempo Real/métodos , Linhagem Celular Tumoral , Humanos
5.
Front Plant Sci ; 7: 1036, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27471515

RESUMO

Understanding the nature of pathogen host interaction may help improve strawberry (Fragaria × ananassa) cultivars. Plant resistance to pathogenic agents usually operates through a complex network of defense mechanisms mediated by a diverse array of signaling molecules. In strawberry, resistance to a variety of pathogens has been reported to be mostly polygenic and quantitatively inherited, making it difficult to associate molecular markers with disease resistance genes. Colletotrichum acutatum spp. is a major strawberry pathogen, and completely resistant cultivars have not been reported. Moreover, strawberry defense network components and mechanisms remain largely unknown and poorly understood. Assessment of the strawberry response to C. acutatum included a global transcript analysis, and acidic hormones SA and JA measurements were analyzed after challenge with the pathogen. Induction of transcripts corresponding to the SA and JA signaling pathways and key genes controlling major steps within these defense pathways was detected. Accordingly, SA and JA accumulated in strawberry after infection. Contrastingly, induction of several important SA, JA, and oxidative stress-responsive defense genes, including FaPR1-1, FaLOX2, FaJAR1, FaPDF1, and FaGST1, was not detected, which suggests that specific branches in these defense pathways (those leading to FaPR1-2, FaPR2-1, FaPR2-2, FaAOS, FaPR5, and FaPR10) were activated. Our results reveal that specific aspects in SA and JA dependent signaling pathways are activated in strawberry upon interaction with C. acutatum. Certain described defense-associated transcripts related to these two known signaling pathways do not increase in abundance following infection. This finding suggests new insight into a specific putative molecular strategy for defense against this pathogen.

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