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1.
Opt Lett ; 45(17): 4927-4930, 2020 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-32870892

RESUMO

In this Letter, we propose and demonstrate a practical optical-spatial-summing-based non-orthogonal multiple access (OSS-NOMA) technique for visible light communication (VLC) systems. This technique is innovative in adopting OSS in that the transmitter of OSS-NOMA VLC can be built upon commercial illuminating light emitting diodes (LEDs), free of LEDs' harmful nonlinearity. Unlike conventional NOMA VLC using analog components such as digital-to-analog converters and bias-T in the transmitter side, OSS-NOMA exploits only digital control signals to drive a LED array in forming optical power superposition for NOMA signals. We demonstrate that by simply switching different amounts of LED chips on or off, the proposed OSS-NOMA transmitter can deliver a fine-grained power allocation ratio ranging from 0.01 to one for two users. The implemented OSS-NOMA VLC prototype leveraging commercial components can achieve low bit error rates of ≤3.1×10-3 for two users at a data rate of 800 kbps, confirming the promising potential of this novel OSS-NOMA VLC for Internet of Things (IoT) applications.

2.
Bioresour Technol ; 314: 123773, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-32645569

RESUMO

To effectively preserve nutrients, alfalfa silage was treated without (control) or with Lactobacillus plantarum (LP) and their mixture (LP + SBP). Results showed that SBP decreased (P < 0.05) final pH value and ammonia-N of total N, increased (P < 0.05) lactic, acetic and propionic acid contents, resulting in more residual water soluble carbohydrate and crude protein contents and less fiber content in relative to control. Moreover, SBP decreased (P < 0.05) the number of observed species, richness index of ACE and diversity index of Shannon at early stage of ensiling, while Lactobacillus plantarum, Lactococcus lactis, and/or Lactobacillus brevis dominated in silages. In particular, LP + SBP enhanced the growth of Lactococcus lactic at early stage and Lactobacillus plantarum at late stage of ensiling, resulting in higher lactic and acetic acid contents and lower propionic acid content as compared with LP. These confirmed that SBP could be used as an additive for improving silage quality of alfalfa.


Assuntos
Hippophae , Lactobacillus plantarum , Fermentação , Medicago sativa , Silagem/análise
3.
Sci Rep ; 10(1): 10333, 2020 06 25.
Artigo em Inglês | MEDLINE | ID: mdl-32587295

RESUMO

Limited biomarkers have been identified as prognostic predictors for stage III colon cancer. To combat this shortfall, we developed a computer-aided approach which combing convolutional neural network with machine classifier to predict the prognosis of stage III colon cancer from routinely haematoxylin and eosin (H&E) stained tissue slides. We trained the model by using 101 cancers from West China Hospital (WCH). The predictive effectivity of the model was validated by using 67 cancers from WCH and 47 cancers from The Cancer Genome Atlas Colon Adenocarcinoma database. The selected model (Gradient Boosting-Colon) provided a hazard ratio (HR) for high- vs. low-risk recurrence of 8.976 (95% confidence interval (CI), 2.824-28.528; P, 0.000), and 10.273 (95% CI, 2.177-48.472; P, 0.003) in the two test groups, from the multivariate Cox proportional hazards analysis. It gave a HR value of 10.687(95% CI, 2.908-39.272; P, 0.001) and 5.033 (95% CI,1.792-14.132; P, 0.002) for the poor vs. good prognosis groups. Gradient Boosting-Colon is an independent machine prognostic predictor which allows stratification of stage III colon cancer into high- and low-risk recurrence groups, and poor and good prognosis groups directly from the H&E tissue slides. Our findings could provide crucial information to aid treatment planning during stage III colon cancer.

4.
Sensors (Basel) ; 20(10)2020 May 22.
Artigo em Inglês | MEDLINE | ID: mdl-32455906

RESUMO

A safe charging algorithm in wireless rechargeable sensor network ensures the charging efficiency and the electromagnetic radiation below the threshold. Compared with the current charging algorithms, the safe charging algorithm is more complicated due to the radiation constraint and the mobility of the chargers. A safe charging algorithm based on multiple mobile chargers is proposed in this paper to charge the sensor nodes with mobile chargers, in order to ensure the premise of radiation safety, multiple mobile chargers can effectively complete the network charging task. Firstly, this algorithm narrows the possible location of the sensor nodes by utilizing the charging time and antenna waveform. Secondly, the performance of non-partition charging algorithm which algorithm allow chargers to charge different sensors sets in a different cycle is evaluated against the one of partition charging which does not allow for charging different ones. The moving distance of the charger node will be reduced by 18%. It not only improves the safety level which is inversely proportional to electromagnetic radiation but also expands the application scope of the wireless sensor nodes.

5.
Anim Sci J ; 91(1): e13364, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32219952

RESUMO

To effectively use local available grass resources to cover the winter feed shortage on the Qinghai-Tibetan Plateau, direct-cut and wilted reed canary grass (RCG) silages were prepared by using a rolled-bale system, and their ensiling characteristics and in vitro digestibility were studied. Silages were treated without (control) or with inoculants including LP (Lactobacillus plantarum), LPLB (L. plantarum, L. buchneri), and LPLBc (L. plantarum, L. buchneri, and cellulase), and were stored at ambient temperature (5.7-14.6°C) for 90 days. Compared with control, the inoculated silages increased (p < .05) lactic acid and acetic acid contents, and reduced (p < .05) final pH value and ammonia-N ratio of total N. The highest WSC content (41.2 g/kg DM) occurred for LPLB-inoculated silage, whereas LPLBc-treated silage displayed the lowest contents of NDF (522.9 g/kg DM) and ADF (275.5 g/kg DM). In addition, LPLBc-inoculated silage had the highest in vitro gas production (51.0 ml/g DM), in vitro DM digestibility (619.3 g/kg DM), and metabolic energy (9.6 kJ/kg DM). These results confirmed that treatments with inoculants at ensiling could improve silage fermentation and in vitro digestibility of RCG, and this could be a potential winter feed for animals on the Qinghai-Tibetan Plateau.


Assuntos
Celulase , Digestão , Fermentação , Armazenamento de Alimentos/métodos , Lactobacillus plantarum , Lactobacillus , Phalaris , Silagem , Ácido Acético/análise , Amônia/análise , Metabolismo Energético , Concentração de Íons de Hidrogênio , Técnicas In Vitro , Ácido Láctico/análise , Nitrogênio/análise , Silagem/análise , Temperatura , Tibet , Fatores de Tempo
6.
Eur J Radiol ; 125: 108892, 2020 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-32087466

RESUMO

PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemically classify the PA subtypes by radiomic features based on preoperative MR images was developed. METHODS: Two hundred thirty-five pathologically diagnosed PAs, including t-box pituitary transcription factor (Tpit) family tumors (n = 55), pituitary transcription factor 1 (Pit-1) family tumors (n = 110), and steroidogenic factor 1 (SF-1) family tumors (n = 70), were retrospectively studied. T1-weighted, T2-weighted and contrast-enhanced T1-weighted images were obtained from all patients. Through imaging acquisition, feature extraction and radiomic data processing, 18 radiomic features were used to train support vector machine (SVM), k-nearest neighbors (KNN) and Naïve Bayes (NBs) models. Ten-fold cross-validation was applied to evaluate the performance of these models. RESULTS: The SVM model showed high performance (balanced accuracy 0.89, AUC 0.9549) whereas the KNN (balanced accuracy 0.83, AUC 0.9266) and NBs (balanced accuracy 0.80, AUC 0.9324) models displayed low performance based on the T2-weighted images. The performance of the T2-weighted images was better than that of the other two MR sequences. Additionally, significant sensitivity (P = 0.031) and specificity (P = 0.012) differences were observed when classifying the PA subtypes by T2-weighted images. CONCLUSIONS: The SVM model was superior to the KNN and NBs models and can potentially precisely immunohistochemically classify PA subtypes with an MR-based radiomic analysis. The developed model exhibited good performance using T2-weighted images and might offer potential guidance to neurosurgeons in clinical decision-making before surgery.


Assuntos
Adenoma/diagnóstico por imagem , Interpretação de Imagem Assistida por Computador/métodos , Aprendizado de Máquina , Imagem por Ressonância Magnética/métodos , Neoplasias Hipofisárias/diagnóstico por imagem , Cuidados Pré-Operatórios/métodos , Adenoma/patologia , Adenoma/ultraestrutura , Adolescente , Adulto , Idoso , Teorema de Bayes , Feminino , Humanos , Imuno-Histoquímica/métodos , Masculino , Pessoa de Meia-Idade , Hipófise/diagnóstico por imagem , Hipófise/patologia , Hipófise/ultraestrutura , Neoplasias Hipofisárias/patologia , Neoplasias Hipofisárias/ultraestrutura , Estudos Retrospectivos , Adulto Jovem
7.
Opt Express ; 27(21): 30788-30795, 2019 Oct 14.
Artigo em Inglês | MEDLINE | ID: mdl-31684321

RESUMO

Commercial-off-the-shelf (COTS) devices enabled visible light communication (VLC) for Internet of things (IoT) applications has attracted extensive attentions from both academic and industrial communities, thanks to the pervasive deployments of light emitting diode (LED) lighting infrastructure. However, due to the limitation of frequency response and non-linearity of the commercial illuminating LED light consisting of multiple LED chips, the achievable data rate is far less than that provided by the experimental VLC system with a single LED with specialized devices, e.g., lens. To this end, we propose a power-of-2 arrangement scheme for LED chips to generate spatial summing modulation with low control complexity, and demonstrate its availability in an orthogonal frequency division multiplexing (OFDM) VLC system purely built upon COTS devices. It significantly differs from a conventional OFDM VLC system relying on digital-to-analog converter (DAC) and analog signal chain, which is complex and confined by LED's non-linearity, thanks to we design a novel digital-to-light converter (DLC) which can output 256 light intensities linearly and be directly controlled by the discrete digital signals generated by the OFDM modulator. An experimental demonstration with employing the QAM-OFDM modulation scheme successfully confirms the effectiveness of the proposed spatial summing VLC system, which can achieve low BERs of below the forward error correct (FEC) threshold of 3.8×10-3 for both QAM8 and QAM16 running transmission frequency of 300 kHz under a communication distance of 0.8 m. It demonstrates the promising potential for delivering a data rate at hundred kbps level with this novel spatial summing based OFDM VLC system, which is sufficient for many IoT applications.

8.
Biomed Eng Online ; 18(1): 110, 2019 Nov 14.
Artigo em Inglês | MEDLINE | ID: mdl-31727057

RESUMO

BACKGROUND: An intracranial aneurysm is a cerebrovascular disorder that can result in various diseases. Clinically, diagnosis of an intracranial aneurysm utilizes digital subtraction angiography (DSA) modality as gold standard. The existing automatic computer-aided diagnosis (CAD) research studies with DSA modality were based on classical digital image processing (DIP) methods. However, the classical feature extraction methods were badly hampered by complex vascular distribution, and the sliding window methods were time-consuming during searching and feature extraction. Therefore, developing an accurate and efficient CAD method to detect intracranial aneurysms on DSA images is a meaningful task. METHODS: In this study, we proposed a two-stage convolutional neural network (CNN) architecture to automatically detect intracranial aneurysms on 2D-DSA images. In region localization stage (RLS), our detection system can locate a specific region to reduce the interference of the other regions. Then, in aneurysm detection stage (ADS), the detector could combine the information of frontal and lateral angiographic view to identify intracranial aneurysms, with a false-positive suppression algorithm. RESULTS: Our study was experimented on posterior communicating artery (PCoA) region of internal carotid artery (ICA). The data set contained 241 subjects for model training, and 40 prospectively collected subjects for testing. Compared with the classical DIP method which had an accuracy of 62.5% and an area under curve (AUC) of 0.69, the proposed architecture could achieve accuracy of 93.5% and the AUC of 0.942. In addition, the detection time cost of our method was about 0.569 s, which was one hundred times faster than the classical DIP method of 62.546 s. CONCLUSION: The results illustrated that our proposed two-stage CNN-based architecture was more accurate and faster compared with the existing research studies of classical DIP methods. Overall, our study is a demonstration that it is feasible to assist physicians to detect intracranial aneurysm on DSA images using CNN.


Assuntos
Angiografia Digital , Processamento de Imagem Assistida por Computador/métodos , Aneurisma Intracraniano/diagnóstico por imagem , Redes Neurais de Computação , Automação , Humanos
9.
Sensors (Basel) ; 19(21)2019 Oct 31.
Artigo em Inglês | MEDLINE | ID: mdl-31683685

RESUMO

As an indispensable part of Internet of Things (IoT), wireless sensor networks (WSNs) are more and more widely used with the rapid development of IoT. The neighbor discovery protocols are the premise of communication between nodes and networking in energy-limited self-organizing wireless networks, and play an important role in WSNs. Because the node energy is limited, neighbor discovery must operate in an energy-efficient manner, that is, under the condition of a given energy budget, the neighbor discovery performance should be as good as possible, such that the discovery latency would be as small as possible and the discovered neighbor percentage as large as possible. The indirect neighbor discovery mainly uses the information of the neighbors that have been found by a pairwise discovery method to more efficiently make a re-planning of the discovery wake-up schedules of the original pairwise neighbor discovery, thereby improving the discovery energy efficiency. The current indirect neighbor discovery methods are mainly divided into two categories: one involves removing the inefficient active slots in the original discovery wake-up schedules, and the other involves adding some efficient active slots. However, the two categories of methods have their own limitations. The former does not consider that this removal operation destroys the integrity of the original discovery wake-up schedules and hence the possibility of discovering new neighbors is reduced, which adversely affects the discovered neighbor percentage. For the latter category, there are still inefficient active slots that were not removed in the re-planned wake-up schedules. The motivation of this paper is to combine the advantages of these two types of indirect neighbor discovery methods, that is, to combine the addition of efficient active slots and the removal of inefficient active slots. To achieve this goal, this paper proposes, for the first time, the concept of virtual nodes in neighbor discovery to maximize the integrity of the original wake-up schedules and achieve the goals of adding efficient active slots and removing inefficient active slots. Specifically, a virtual node is a collaborative group that is formed by nodes within a small range. The nodes in a collaborative group share responsibility for the activating task of one member node, and the combination of these nodes' wake-up schedules forms the full wake-up schedule of a node that only uses a pairwise method. In addition, this paper proposes a set of efficient group management mechanisms, and the key steps affecting energy efficiency are analyzed theoretically to obtain the energy-optimal parameters. The extended simulation experiments in multiple scenarios show that, compared with other methods, our neighbor discovery protocol based on virtual nodes (VN-NDP) has a significant improvement in average discovery delay and discovered neighbor percentage performance at a given energy budget. Compared with the typical indirect neighbor discovery algorithm EQS, a neighbor discovery with extended quorum system, our proposed VN-NDP method reduces the average discovery delay by up to 10 . 03 % and increases the discovered neighbor percentage by up to 18 . 35 % .

10.
Sensors (Basel) ; 18(10)2018 Oct 03.
Artigo em Inglês | MEDLINE | ID: mdl-30282944

RESUMO

With the quick development of Internet of Things (IoT), one of its important supporting technologies, i.e., wireless sensor networks (WSNs), gets much more attention. Neighbor discovery is an indispensable procedure in WSNs. The existing deterministic neighbor discovery algorithms in WSNs ensure that successful discovery can be obtained within a given period of time, but the average discovery delay is long. It is difficult to meet the need for rapid discovery in mobile low duty cycle environments. In addition, with the rapid development of IoT, the node densities of many WSNs greatly increase. In such scenarios, existing neighbor discovery methods fail to satisfy the requirement in terms of discovery latency under the condition of the same energy consumption. This paper proposes a group-based fast neighbor discovery algorithm (GBFA) to address the issues. By carrying neighbor information in beacon packet, the node knows in advance some potential neighbors. It selects more energy efficient potential neighbors and proactively makes nodes wake up to verify whether these potential neighbors are true neighbors, thereby speeding up neighbor discovery, improving energy utilization efficiency and decreasing network communication load. The evaluation results indicate that, compared with other methods, GBFA decreases the average discovery latency up to 10 . 58 % at the same energy budget.

11.
Opt Express ; 26(26): 34031-34042, 2018 Dec 24.
Artigo em Inglês | MEDLINE | ID: mdl-30650833

RESUMO

In this paper, we propose and demonstrate a secure and private non-orthogonal multiple access (NOMA) based visible light communication (VLC) system. Orthogonal frequency division multiplexing (OFDM) modulation is applied in the system and a two-level chaotic encryption scheme is further implemented, which can guarantee both the security of legitimate users against eavesdroppers and the privacy among all the legitimate users. An experimental demonstration with two legitimate users and one eavesdropper successfully verifies the feasibility of the proposed secure and private NOMA VLC system. To the best of our knowledge, it is the first time that simultaneous security and privacy improvement is considered for NOMA VLC systems.

12.
Sci Rep ; 7(1): 5528, 2017 07 17.
Artigo em Inglês | MEDLINE | ID: mdl-28717223

RESUMO

Conduct disorder (CD) is a psychiatric disorder in children and adolescence. To investigate changes in the power distribution in brain networks between CD and typically developing (TD) groups, resting-state functional magnetic resonance imaging (rsfMRI) data of thirty-six subjects were first recorded, and then the data were preprocessed using DPARSF and SPM8. Meanwhile, the power of the blood oxygenation level-dependent (BOLD) signals of ninety brain regions was acquired using the integral of the Welch power spectral density (PSD). Additionally, the powers of the brain regions that reached significance (p < 0.05) were extracted using the bootstrap statistics, in which the standardized z-scores of the powers were used as a reference. The results of the analysis of the changes in power exhibited that there were significant power differences in some pairs of brain regions between the CD and TD groups, indicating a change in the power distribution. In addition, the results also suggest that the total power consumption of brain networks in CD patients is less than that observed in the TD group. Consequently, the study provided a paradigm for establishing quantifiable indicators via the power spectrum approach for the comparison and analysis of the BOLD signal power between CD patients and healthy controls.


Assuntos
Encéfalo/fisiopatologia , Transtorno da Conduta/fisiopatologia , Vias Neurais/fisiopatologia , Adolescente , Encéfalo/diagnóstico por imagem , Mapeamento Encefálico , Humanos , Processamento de Imagem Assistida por Computador , Imagem por Ressonância Magnética , Masculino , Descanso/fisiologia
13.
J Eukaryot Microbiol ; 64(3): 349-359, 2017 05.
Artigo em Inglês | MEDLINE | ID: mdl-27633146

RESUMO

Photosynthetic picoeukaryotes (PPEs) are important constituents in picoplankton communities in many marine ecosystems. However, little is known about their community composition in the subtropical coastal waters of the Northwestern Pacific Ocean. In order to study their taxonomic composition, this study constructed 18S rRNA gene libraries using flow cytometric sorting during the warm season. The results show that, after diatoms, prasinophyte clones are numerically dominant. Within prasinophytes, Micromonas produced the most common sequences, and included clades II, III, IV, and VI. We are establishing the new Micromonas clade VI based on our phylogenetic analysis. Sequences of this clade have previously been retrieved from the South China Sea and Red Sea, indicating a worldwide distribution, but this is the first study to detect clade VI in the coastal waters of Taiwan. The TSA-FISH results indicated that Micromonas clade VI peaked in the summer (~4 × 102  cells/ml), accounting for one-fifth of Micromonas abundance on average. Overall, Micromonas contributed half of Mamiellophyceae abundance, while Mamiellophyceae contributed 40% of PPE abundance. This study demonstrates the importance of Micromonas within the Mamiellophyceae in a subtropical coastal ecosystem.


Assuntos
Clorófitas/classificação , Ecossistema , Eucariotos/classificação , Fotossíntese , Filogenia , Organismos Aquáticos/classificação , Organismos Aquáticos/genética , Sequência de Bases , Contagem de Células , Clorófitas/genética , Classificação , Diatomáceas/classificação , Diatomáceas/genética , Eucariotos/genética , Biblioteca Gênica , Hibridização In Situ , Biologia Marinha , Oceano Pacífico , Plâncton/classificação , Plâncton/genética , RNA Ribossômico 18S/genética , Salinidade , Estações do Ano , Água do Mar , Taiwan , Temperatura
14.
Front Hum Neurosci ; 9: 400, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26236217

RESUMO

Clustering analysis methods have been widely applied to identifying the functional brain networks of a multitask paradigm. However, the previously used clustering analysis techniques are computationally expensive and thus impractical for clinical applications. In this study a novel method, called SOM-SAPC that combines self-organizing mapping (SOM) and supervised affinity propagation clustering (SAPC), is proposed and implemented to identify the motor execution (ME) and motor imagery (MI) networks. In SOM-SAPC, SOM was first performed to process fMRI data and SAPC is further utilized for clustering the patterns of functional networks. As a result, SOM-SAPC is able to significantly reduce the computational cost for brain network analysis. Simulation and clinical tests involving ME and MI were conducted based on SOM-SAPC, and the analysis results indicated that functional brain networks were clearly identified with different response patterns and reduced computational cost. In particular, three activation clusters were clearly revealed, which include parts of the visual, ME and MI functional networks. These findings validated that SOM-SAPC is an effective and robust method to analyze the fMRI data with multitasks.

15.
Monoclon Antib Immunodiagn Immunother ; 32(4): 301-8, 2013 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-23909426

RESUMO

Human endothelial cell-specific molecule 2 (hECSM2) is a novel, recently identified gene, the biological functions of which are still unclear. The aim of this study was to prepare anti-hECSM2 mouse monoclonal antibodies and investigate the endogenous expression of hECSM2 in cell lines and human tissues. Mouse monoclonal antibodies (MAbs) specifically against hECSM2 were prepared using the hybridoma method. Western blot and flow cytometry were used to detect the specificity of the antibodies. Immunofluorescence and immunohistochemistry were used to investigate the endogenous expression of hECSM2 in different kinds of cell lines and human tissues, respectively. Two anti-hECSM2 MAbs secreting hybridomas were selected. Experiments showed that these two antibodies were highly specific to hECSM2 and endogenous hECSM2 was located on the endothelial cell membrane. Our anti-hECSM2 mouse antibodies can be used for Western blot, flow cytometry, and immunohistochemistry study, and can be a valuable tool for investigating the function and distribution of hECSM2.


Assuntos
Anticorpos Monoclonais/imunologia , Hibridomas/imunologia , Proteínas de Membrana/imunologia , Proteínas de Membrana/metabolismo , Neoplasias/diagnóstico , Sequência de Aminoácidos , Animais , Anticorpos Monoclonais/biossíntese , Anticorpos Monoclonais/isolamento & purificação , Afinidade de Anticorpos , Formação de Anticorpos , Especificidade de Anticorpos , Proteínas Reguladoras de Apoptose , Western Blotting , Células CHO , Células Cultivadas , Cricetulus , Ensaio de Imunoadsorção Enzimática , Feminino , Citometria de Fluxo , Imunofluorescência , Células Endoteliais da Veia Umbilical Humana/citologia , Células Endoteliais da Veia Umbilical Humana/imunologia , Células Endoteliais da Veia Umbilical Humana/metabolismo , Humanos , Imunização , Técnicas Imunoenzimáticas , Proteínas de Membrana/isolamento & purificação , Camundongos , Camundongos Endogâmicos BALB C , Dados de Sequência Molecular , Neoplasias/imunologia , Neoplasias/metabolismo , Proteínas Recombinantes , Frações Subcelulares , Células Tumorais Cultivadas
16.
Biochimie ; 95(7): 1466-75, 2013 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-23567336

RESUMO

PPPDE peptidase domain 1 (PPPDE1) is a recently identified gene; however, its expression regulation and biological function are unclear. Previous studies have indicated that PPPDE1 is involved in embryogenesis, apoptosis induction and cell cycle regulation. In the present study, we first used an anti-PPPDE1 antibody to determine that endogenous PPPDE1 is located in the Golgi apparatus. Immunohistochemistry (IHC) of mouse embryos indicated that PPPDE1 was markedly distributed in liver, skin, intestinal villi, and muscles, whereas Western blot analysis of mouse mature organs revealed its ubiquitous expression, without an appreciable distinction in protein abundance. Surprisingly, another potential isoform of PPPDE1 with a molecular weight of 18 kD (rather than its predicted molecular weight of 21 kD) was detected in the mouse kidney, testis, and intestine. Moreover, microarrays that were derived from twelve tumor types revealed that PPPDE1 expression was significantly lower in pancreas, stomach, and skin tumors compared with normal tissue from these organs. We specifically and extensively analyzed PPPDE1 expression in clinical samples and observed strong associations between PPPDE1 expression and (i) differentiation grade in pancreatic ductal adenocarcinoma and (ii) T stage in skin squamous cell carcinoma. Our data are the first to reveal the expression profile of PPPDE1 protein and its implications in cancer. These results will contribute to the understanding of the expression regulation and biological functions of PPPDE1 in development and carcinogenesis.


Assuntos
Complexo de Golgi/metabolismo , Adenocarcinoma/genética , Adenocarcinoma/patologia , Sequência de Aminoácidos , Animais , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Carbono-Nitrogênio Liases/genética , Carbono-Nitrogênio Liases/metabolismo , Carcinoma Ductal Pancreático/genética , Carcinoma Ductal Pancreático/patologia , Carcinoma de Células Escamosas/genética , Carcinoma de Células Escamosas/patologia , Imuno-Histoquímica , Camundongos , Camundongos Endogâmicos BALB C , Dados de Sequência Molecular , Neoplasias Pancreáticas/genética , Neoplasias Pancreáticas/patologia , Isoformas de Proteínas/genética , Isoformas de Proteínas/metabolismo
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