Gene Expression Patterns最新文献

Most of the existing works on fine-grained image categorization and retrieval focus on finding similar images from the same species and often give little importance to inter-species similarities. However, these similarities may carry species correlations such as the same ancestors or similar habits, which are helpful in taxonomy and understanding biological traits. In this paper, we devise a new fine-grained retrieval task that searches for similar instances from different species based on body parts. To this end, we propose a two-step strategy. In the first step, we search for visually similar parts to a query image using a deep convolutional neural network (CNN). To improve the quality of the retrieved candidates, structural cues are introduced into the CNN using a novel part-pooling layer, in which the receptive field of each part is adjusted automatically. In the second step, we re-rank the retrieved candidates to improve the species diversity. We achieve this by formulating a novel ranking function that balances between the similarity of the candidates to the queried parts, while decreasing the similarity to the query species. We provide experiments on the benchmark CUB200 dataset and Columbia Dogs dataset, and demonstrate clear benefits of our schemes.

The Onychostoma macrolepis (O. macrolepis) is a rare and endangered wild species. Their endangered extinction might be due to their low fertility. To further illustrate the molecular mechanism of gonad development of the male and female O. macrolepis, the present study carried out de novo testicular and ovarian transcriptome sequencing. By comparing ovary and testis, 30,869 differentially expressed unigenes (9870 in female, 20999 in male) were identified. In addition, KEGG and GO analysis suggested that the Hedgehog signaling pathway have important roles in testis maintenance and spermatogenesis, whereas the Hippo signaling pathway and Wnt signaling pathway are likely to participate in ovary maintenance. RT-qPCR analysis results were consistent with transcriptome sequencing that all of gender differentiation-related genes (FOXL2, GDF9, WNT4, CYP19A1, SOX9 and GATA4), temperature-enriched genes (NOVA1, CTGF and NR4A1), clock-related genes (PER2, PER3, CRY1, CRY2, BMAL1 and CIPC) were significantly differential expression in testis compared with ovaries. Taken together, these results revealed a potential molecular mechanism that low fertility of the O. macrolepis might strong correlate with the gonadal dyssynchrony development of the male and female, which might provide theoretical basis and technical support for artificial reproduction and germplasm resource protection of the O. macrolepis.

Neuronal defect and loss are the main pathological processes of many central nervous system diseases. Cellular reprogramming is a promising method to supplement lost neurons. However, study on cellular reprogramming is still limited and its mechanism remains unclear. Herein, the effect of Neurod1 expression on differentiation of NG2 glia into neurons was investigated. In this study, we successfully isolated NG2 glial cells from mice prior to identification with immunofluorescence. Afterwards, AAV-Neurod1 virus was used to construct Neurod1 overexpression vectors in NG2 glia. Later, we detected neuronal markers expression with immunofluorescence and real time quantitative polymerase-chain reaction (qRT-PCR). Besides, expression of MAPK-signaling-pathway-related proteins were detected by western blotting technique. Through immunofluorescence and qRT-PCR techniques, we observed that Neurod1 overexpression contributed to NG2 cells differentiated into neurons. Further experiments also showed that Neurod1 overexpression induced the activation of MAPK pathway, but PD98059 (a selective inhibitor of MAPK pathway) partly inhibited the neuronal differentiation induced by Neurod1 overexpression. These findings suggest that Neurod1 could promote NG2 glia cells differentiating into neurons, wherein the mechanism under the differentiation is related to activation of MAPK pathway.

In production, most cultivars of melon are andromonoecious and characterized by carrying both male and bisexual flowers on the same plant. In this study, four A-class genes (CmAP1a, CmAP1b, CmAP2a and CmAP2b), two B-class genes (CmAP3 and CmPI), two C-class genes (CmAGa and CmAGb) and four E-class genes (CmSEP1,2,3,4) were identified in melon. However, no D-class gene of melon was identified. The conserved domains of ABCE function proteins showed relatively high similarity between Arabidopsis and melon. The expression patterns of ABCE homeotic genes in different flower buds of melon suggested that transcripts of CmAP1a, CmPI and CmSEP1 in bisexual buds were significantly lower than that in male flower buds, while the expression levels of CmAGa, CmAGb and CmSEP4 in bisexual flower buds were significantly higher than that in male flower buds. There was no significant difference in expression levels of other ABCE model genes between male buds and bisexual buds. Subsequently, qRT-PCR was performed in different floral organs of bisexual flowers in melon. For A class genes, CmAP1a and CmAP1b showed the highest accumulation in sepals than petals, stamens and pistil, while CmAP2a and CmAP2b revealed the highest expression in pistil than other three floral organs. For B class genes, CmAP3 and CmPI were highly accumulated in petals and stamens though CmAP3 also showed abundant accumulation in pistil. For C class genes, the expression levels of CmAGa and CmAGb were higher in stamens and pistil than that in sepals and petals. For E class genes, CmSEP1 showed higher expression level in sepals and petals than stamens and pistil. CmSEP2, CmSEP3 and CmSEP4 showed the highest accumulation in pistil than other floral organs. These results provided a theoretical basis for studying the function of ABCE homeotic genes in floral organs development of melon.

Sea urchin (Mesocentrotus nudus) is an important economically mariculture species in several Asian countries, and gonads are the sole edible parts for people. In addition to commercial value, it is an excellent model for studying gonadal development, sex determination and sex differentiation. Identify sex-related genes is an effective way to reveal the molecular mechanism of gonadal development. In the present study, the foxl2 homologous gene was identified in M. nudus. Foxl2 is not a maternal factor, and is detected for the first time in two-arm stages. Additionally, the expression of foxl2 in the testis is higher than in the ovaries at the same developmental stages. The foxl2 transcripts were specifically enriched in the cytoplasm of germ cellsboth in the ovary and testis, but their proteins were more concentrated in the area near the oocyte nucleus. Overall, this study contributes to our understanding of the dynamic and sexually dimorphic expression pattern of foxl2 and provide a useful germ cell marker during gametogenesis in sea urchin.

DNA synthesis and methylations are crucial during pre-implantation embryonic development, and are mediated by one-carbon metabolism of folates. Folates, transported into the cells via folate receptors (FOLR1 and FOLR2) and carriers (SLC19A1), are metabolized by various enzymes involved in folate-methionine cycle. However, the variations in temporal expression of folate transporters and folate-methionine cycle enzymes during pre-implantation embryo development is obscure. Thus, the present study aimed to investigate the differential expression of the genes for folate transporters and folate-methionine cycle enzymes. We also examined the expression of folate transport proteins in different pre-implantation development stages. Immature buffalo oocytes were matured in maturation medium followed by in vitro fertilization and culture at standard culture conditions. The temporal pattern of gene expression in buffalo, when compared to previous studies, indicated an inter-specific variation. The transcripts of some enzymes and folate transporters were significantly upregulated after zygotic genome activation. The transcripts as well as proteins for FOLR1, FOLR2 and SLC19A1 were present in oocytes and all the pre-implantation embryo stages. FOLR1 was present in the nuclei of different stages of developing embryos but not in the metaphase (MII) oocytes. As a result, the present study advocates the existence of active folate transport in buffalo oocytes and pre-implantation embryos. The data provided by the analysis of differential gene expression of folate transporters and metabolic enzymes would likely contribute to a better understanding of the role of folates in embryo development as well as advancements in assisted reproductive technologies.

The metzincin family of metalloproteases coordinates tissue developmental processes through regulation of growth factor availability, receptor signaling, and cell-cell/cell-matrix adhesion. While roles for select metzincins in controlling trophoblast functions in human placental development have been described, a comprehensive understanding of metzincin dynamics during trophoblast differentiation is lacking. To address this knowledge gap, single cell transcriptomic datasets derived from first trimester chorionic villi and decidua were used to decipher metzincin expression profiles and kinetics in diverse cell types within the utero-placental interface. Further, specific protease-substrate interactions within progenitor trophoblasts were examined to better define the progenitor niche. Within the uterine-placental compartment, 43 metzincin proteases were expressed across 15 cell-type clusters. Metzincin subgroups expressed in placental trophoblasts, placental mesenchymal cells, uterine stromal, and immune cells included multiple matrix metalloproteases (MMPs), a disintegrin and metalloproteases (ADAMs), a disintegrin and metalloproteases with thrombospondin repeats (ADAMTSs), pappalysins, and astacins. Within the trophoblast compartment, eight distinct trophoblasts states were identified: four cytotrophoblast (CTB), one syncytiotrophoblast precursor (SCTp), two column CTB (cCTB), and one extravillous trophoblast (EVT). Within these states 7 MMP, 8 ADAM, 4 ADAMTS, 2 pappalysin, and 3 astacin proteases were expressed. Cell trajectory modeling shows that expression of most (19/24) metzincins increase during EVT differentiation, though expression of select metalloproteases increase along the villous pathway. Eleven metzincins (ADAM10, -17, MMP14, -15, -19, -23B, ADAMTS1, -6, -19, TLL-1, -2) showed enrichment within CTB progenitors, and analysis of metzincin-substrate interactions identified ∼150 substrates and binding partners, including FBN2 as an ADAMTS6-specific substrate. Together, this work characterizes the metzincin landscape in human first trimester trophoblasts and establishes insight into the roles specific proteases perform within distinct trophoblast niches and across trophoblast differentiation. This resource serves as a guide for future investigations into the roles of metzincin proteases in human placental development.

Handwriting recognition is regarded as a dynamic and inspiring topic in the exploration of pattern recognition and image processing. It has many applications including a blind reading aid, computerized reading, and processing for paper documents, making any handwritten document searchable and converting it into structural text form. High accuracy rates have been achieved by this technology when recognizing handwriting recognition systems for English, Chinese Arabic, Persian, and many other languages. However, there is not such a system for recognizing Kurdish handwriting. In this paper, an attempt is made to design and develop a model that can recognize handwritten characters for Kurdish alphabets using deep learning techniques. Kurdish (Sorani) contains 34 characters and mainly employs an Arabic/Persian based script with modified alphabets. In this work, a Deep Convolutional Neural Network model is employed that has shown exemplary performance in handwriting recognition systems. Then, a comprehensive database has been created for handwritten Kurdish characters which contain more than 40 thousand images. The created database has been used for training the Deep Convolutional Neural Network model for classification and recognition tasks. In the proposed system the experimental results show an acceptable recognition level. The testing results reported an 83% accuracy rate, and training accuracy reported a 96% accuracy rate. From the experimental results, it is clear that the proposed deep learning model is performing well and comparable to the similar to other languages handwriting recognition systems.

In the central nervous system (CNS), neurons need synaptic neurotransmitter release and cellular response for various cellular stress or environmental stimuli. To achieve these highly orchestrated cellular processes, neurons should drive the molecular mechanisms that govern and integrate complex signaling pathways. The signal transduction ATPases with numerous domains (STAND) family of proteins has been shown to play essential roles in diverse signal transduction mechanisms, including apoptosis and innate immunity. However, a comprehensive understanding of STAND genes remains lacking. Previously, we identified the NACHT and WD repeat domain-containing protein 1 (NWD1), a member of STAND family, in the regulation of the assembly of a giant multi-enzyme complex that enables efficient de novo purine biosynthesis during brain development. Here we identified the mouse Nwd2 gene, which is a paralog of Nwd1. A molecular phylogenetic analysis suggested that Nwd1 emerged during the early evolution of the animal kingdom, and that Nwd2 diverged in the process of Nwd1 duplication. RT-PCR and in situ hybridization analyses revealed the unique expression profile of Nwd2 in the developing and adult CNS. Unlike Nwd1, Nwd2 expression was primarily confined to neurons in the medial habenular nucleus, an essential modulating center for diverse psychological states, such as fear, anxiety, and drug addiction. In the adult brain, Nwd2 expression, albeit at a lower level, was also observed in some neuronal populations in the piriform cortex, hippocampus, and substantia nigra pars compacta. NWD2 might play a unique role in the signal transduction required for specific neuronal circuits, especially for cholinergic neurons in the habenula.