5 Works
Meta-analysis suggests variable, but pCO2-specific, effects of ocean acidification on crustacean biomaterials
Kyle Siegel, Muskanjot Kaur, A. Calvin Grigal, Rebecca Metzler & Gary Dickinson
Crustaceans comprise an ecologically and morphologically diverse taxonomic group. They are typically considered resilient to many environmental perturbations found in marine and coastal environments, due to effective physiological regulation of ions and hemolymph pH, and a robust exoskeleton. Ocean acidification can affect the ability of marine calcifying organisms to build and maintain mineralized tissue and poses a threat for all marine calcifying taxa. Currently, there is no consensus on how ocean acidification will alter the...
Antheridiogen controls spatial dynamics of sex‐expression in naturally occurring gametophytes of the tree fern Cyathea multiflora
Aidan Harrington, Jennifer Blake‐Mahmud & James Watkins
Background and aims: Antheridiogen systems are an important and widespread mechanism by which sex expression is controlled and genetic diversity maintained in fern gametophyte populations. However, antheridiogens have rarely been studied outside of the laboratory and little is known about their function in natural populations. Combining predictions based on field and laboratory study, we document the sexual structure of tree fern gametophyte populations and test the effects of antheridiogen in situ. Key results: In all...
Bioinformatics analysis deciphering the transcriptomic signatures associated with signalling pathways and prognosis in the myelodysplastic syndromes
Niluopaer Tuerxun, Jie Wang, Fang Zhao, Yu-ting Qin, Huan Wang, Rong Chen & Jian-ping Hao
Background: Several studies scatteredly identified the myelodysplastic syndromes’ transcriptomic profiles (MDS). However, the exploration of transcriptional signatures, key signalling pathways, and their association with prognosis and diagnosis in the integrated multiple datasets remains lacking. Methods: We integrated the GSE4619, GSE19429, GSE30195, and GSE58831 microarray datasets of CD34 + cells for identifying the differentially expressed genes (DEGs) in the MDS. The series of bioinformatics methods are applied to identify the key hub genes, gene clusters, prognostic...
Bioinformatics analysis deciphering the transcriptomic signatures associated with signalling pathways and prognosis in the myelodysplastic syndromes
Niluopaer Tuerxun, Jie Wang, Fang Zhao, Yu-ting Qin, Huan Wang, Rong Chen & Jian-ping Hao
Background: Several studies scatteredly identified the myelodysplastic syndromes’ transcriptomic profiles (MDS). However, the exploration of transcriptional signatures, key signalling pathways, and their association with prognosis and diagnosis in the integrated multiple datasets remains lacking. Methods: We integrated the GSE4619, GSE19429, GSE30195, and GSE58831 microarray datasets of CD34 + cells for identifying the differentially expressed genes (DEGs) in the MDS. The series of bioinformatics methods are applied to identify the key hub genes, gene clusters, prognostic...
Simultaneous Decorrelation of Matrix Time Series
Yuefeng Han, Rong Chen, Cun-Hui Zhang & Qiwei Yao
We propose a contemporaneous bilinear transformation for a p × q matrix time series to alleviate the difficulties in modeling and forecasting matrix time series when p and/or q are large. The resulting transformed matrix assumes a block structure consisting of several small matrices, and those small matrix series are uncorrelated across all times. Hence, an overall parsimonious model is achieved by modeling each of those small matrix series separately without the loss of information...
Affiliations
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Colgate University5
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Qinghai University Affiliated Hospital3
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Jiangsu Academy of Agricultural Sciences3
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Chengdu Third People's Hospital3
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University Hospital of Zurich3
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Hangzhou Normal University3
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Zhongda Hospital Southeast University3
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Affiliated Eye Hospital of Wenzhou Medical College2
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Beijing Tian Tan Hospital2
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Sun Yat-sen University2