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1.
BMC Plant Biol ; 20(1): 108, 2020 Mar 06.
Artículo en Inglés | MEDLINE | ID: mdl-32143560

RESUMEN

BACKGROUND: Pear fruit exhibit a single sigmoid pattern during development, while peach and strawberry fruits exhibit a double sigmoid pattern. However, little is known about the differences between these two patterns. RESULTS: In this study, fruit weights were measured and paraffin sections were made from fruitlet to maturated pear, peach, and strawberry samples. Results revealed that both single and double sigmoid patterns resulted from cell expansion, but not cell division. Comparative transcriptome analyses were conducted among pear, peach, and strawberry fruits at five fruit enlargement stages. Comparing the genes involved in these intervals among peaches and strawberries, 836 genes were found to be associated with all three fruit enlargement stages in pears (Model I). Of these genes, 25 were located within the quantitative trait locus (QTL) regions related to fruit weight and 90 were involved in cell development. Moreover, 649 genes were associated with the middle enlargement stage, but not early or late enlargement in pears (Model II). Additionally, 22 genes were located within the QTL regions related to fruit weight and 63 were involved in cell development. Lastly, dual-luciferase assays revealed that the screened bHLH transcription factors induced the expression of cell expansion-related genes, suggesting that the two models explain the single sigmoid pattern. CONCLUSIONS: Single sigmoid patterns are coordinately mediated by Models I and II, thus, a potential gene regulation network for the single sigmoid pattern was proposed. These results enhance our understanding of the molecular regulation of fruit size in Rosaceae.


Asunto(s)
Fragaria/genética , Frutas/crecimiento & desarrollo , Regulación de la Expresión Génica de las Plantas , Prunus persica/genética , Pyrus/genética , Transcriptoma , Fragaria/crecimiento & desarrollo , Frutas/genética , Redes Reguladoras de Genes , Prunus persica/crecimiento & desarrollo , Pyrus/crecimiento & desarrollo
2.
Front Oncol ; 12: 1007374, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-36761430

RESUMEN

Objective: The aim of this study was to develop and validate a nomogram to predict the overall survival of incidental gallbladder cancer. Methods: A total of 383 eligible patients with incidental gallbladder cancer diagnosed in Shanghai Eastern Hepatobiliary Surgery Hospital from 2011 to 2021 were retrospectively included. They were randomly divided into a training cohort (70%) and a validation cohort (30%). Univariate and multivariate analyses and the Akaike information criterion were used to identify variables independently associated with overall survival. A Cox proportional hazards model was used to construct the nomogram. The C-index, area under time-dependent receiver operating characteristic curves and calibration curves were used to evaluate the discrimination and calibration of the nomogram. Results: T stage, N metastasis, peritoneal metastasis, reresection and histology were independent prognostic factors for overall survival. Based on these predictors, a nomogram was successfully established. The C-index of the nomogram in the training cohort and validation cohort was 0.76 and 0.814, respectively. The AUCs of the nomogram in the training cohort were 0.8, 0.819 and 0.815 for predicting OS at 1, 3 and 5 years, respectively, while the AUCs of the nomogram in the validation cohort were 0.846, 0.845 and 0.902 for predicting OS at 1, 3 and 5 years, respectively. Compared with the 8th AJCC staging system, the AUCs of the nomogram in the present study showed a better discriminative ability. Calibration curves for the training and validation cohorts showed excellent agreement between the predicted and observed outcomes at 1, 3 and 5 years. Conclusions: The nomogram in this study showed excellent discrimination and calibration in predicting overall survival in patients with incidental gallbladder cancer. It is useful for physicians to obtain accurate long-term survival information and to help them make optimal treatment and follow-up decisions.

3.
Hortic Res ; 8(1): 209, 2021 Oct 01.
Artículo en Inglés | MEDLINE | ID: mdl-34593759

RESUMEN

Peach is a typical climacteric fruit that releases ethylene during fruit ripening. Several studies have been conducted on the transcriptional regulation of ethylene biosynthesis in peach fruit. Herein, an ethylene response factor, PpERF.A16, which was induced by exogenous ethylene, could enhance ethylene biosynthesis by directly inducing the expression of 1-aminocyclopropane-1-carboxylic acid synthase (PpACS1) and 1-aminocyclopropane-1-carboxylic acid oxidase (PpACO1) genes. Moreover, the NAM/ATAF1/2/CUC2 (NAC) transcription factor (TF) PpNAC.A59 was coexpressed with PpERF.A16 in all tested peach cultivars. Interestingly, PpNAC.A59 can directly interact with the promoter of PpERF.A16 to induce its expression but not enhance LUC activity driven by any promoter of PpACS1 or PpACO1. Thus, PpNAC.A59 can indirectly mediate ethylene biosynthesis via the NAC-ERF signaling cascade to induce the expression of both PpACS1 and PpACO1. These results enrich the genetic network of fruit ripening in peach and provide new insight into the ripening mechanism of other perennial fruits.

4.
Hortic Res ; 7(1): 196, 2020 Dec 01.
Artículo en Inglés | MEDLINE | ID: mdl-33328454

RESUMEN

Senescence leads to declines in fruit quality and shortening of shelf life. It is known that low temperatures (LTs) efficiently delay fruit senescence and that high temperatures (HTs) accelerate senescence. However, the molecular mechanism by which temperature affects senescence is unclear. Herein, through multiomics analyses of fruits subjected to postharvest HT, LT, and room temperature treatments, a total of 56 metabolic compounds and 700 mRNAs were identified to be associated with fruit senescence under HT or LT conditions. These compounds could be divided into antisenescent (I→III) and prosenescent (IV→VI) types. HT affected the expression of 202 mRNAs to enhance the biosynthesis of prosenescent compounds of types V and VI and to inhibit the accumulation of antisenescent compounds of types II and III. LT affected the expression of 530 mRNAs to promote the accumulation of antisenescent compounds of types I and II and to impede the biosynthesis of prosenescent compounds of types IV and V. Moreover, 16 microRNAs were isolated in response to HT or LT conditions and interacted with the mRNAs associated with fruit senescence under HT or LT conditions. Transient transformation of pear fruit showed that one of these microRNAs, Novel_188, can mediate fruit senescence by interacting with its target Pbr027651.1. Thus, both HT and LT conditions can affect fruit senescence by affecting microRNA-mRNA interactions, but the molecular networks are different in pear fruit.

5.
Med Microbiol Immunol ; 196(3): 135-43, 2007 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-17318576

RESUMEN

During the development of Escherichia coli K1 meningitis, interaction between E. coli invasion protein IbeA and surface protein(s) on human brain microvascular endothelial cells (HBMEC) is required for invasion and IbeA-mediated signaling. Here, an IbeA-binding protein was identified as polypyrimidine tract-binding protein (PTB)-associated splicing factor (PSF). The specific binding was confirmed by ligand overlay assay. The cell surface-expressed PSF was verified by the confocal microscopy. Recombinant PSF blocked E. coli K1 invasion of HBMEC effectively. Overexpression of PSF in the lentivirus-transducted HBMEC significantly enhanced E. coli K1 invasion. These results suggest that IbeA interacts with PSF for the E. coli K1 invasion of HBMEC.


Asunto(s)
Encéfalo/microbiología , Células Endoteliales/microbiología , Proteínas de Escherichia coli/metabolismo , Escherichia coli/fisiología , Proteínas de la Membrana/metabolismo , Proteínas de Unión al ARN/metabolismo , Secuencia de Aminoácidos , Barrera Hematoencefálica , Encéfalo/irrigación sanguínea , Línea Celular , Humanos , Microscopía Confocal , Datos de Secuencia Molecular , Factor de Empalme Asociado a PTB , Unión Proteica
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