Liposomes are effective lipid nanoparticle drug delivery systems, which can also be functionalized with non-invasive multimodality imaging agents with each modality providing distinct information and having synergistic advantages in diagnosis, monitoring of disease treatment, and evaluation of liposomal drug pharmacokinetics. We designed and constructed a multifunctional theranostic liposomal drug delivery system, which integrated multimodality magnetic resonance (MR), near-infrared (NIR) fluorescent and nuclear imaging of liposomal drug delivery, and therapy monitoring and prediction. The pre-manufactured liposomes were composed of DSPC/cholesterol/Gd-DOTADSPE/DOTA-DSPE with the molar ratio of 39:35:25:1 and having ammonium sulfate/pH gradient. A lipidized NIR fluorescent tracer, IRDye-DSPE, was effectively post-inserted into the pre-manufactured liposomes. Doxorubicin could be effectively post-loaded into the multifunctional liposomes. The multifunctional doxorubicin-liposomes could also be stably radiolabeled with 99mTc or 64Cu for single photon emission computed tomography (SPECT) or positron emission tomography (PET) imaging, respectively. MR images displayed the high resolution micro-intratumoral distribution of the liposomes in squamous cell carcinoma of head and neck (SCCHN) tumor xenografts in nude rats after intratumoral injection. NIR fluorescent, SPECT and PET images also clearly showed either the high intratumoral retention or distribution of the multifunctional liposomes. This multifunctional drug carrying liposome system is promising for disease theranostics allowing non-invasive multimodality NIR fluorescent, MR, SPECT and PET imaging of their in vivo behavior and capitalizing on the inherent advantages of each modality.

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Normalization is the first critical step in microbiome sequencing data analysis used to account for variable library sizes. Current RNA-Seq based normalization methods that have been adapted for microbiome data fail to consider the unique characteristics of microbiome data, which contain a vast number of zeros due to the physical absence or under-sampling of the microbes. Normalization methods that specifically address the zero-inflation remain largely undeveloped. Here we propose geometric mean of pairwise ratios—a simple but effective normalization method—for zero-inflated sequencing data such as microbiome data. Simulation studies and real datasets analyses demonstrate that the proposed method is more robust than competing methods, leading to more powerful detection of differentially abundant taxa and higher reproducibility of the relative abundances of taxa.

Chalkiness of rice grain is an important quality component of rice, as it has a profound influence on eating and milling qualities. We has determined the inheritance of percentage of grain with chalkiness (PGWC) using a set of chromosome segment substitution lines, made from a cross between cv. PA64s and cv. 9311. Two loci controlling PGWC, designated as qPGWC-6 and qPGWC-7, were located on, respectively, chromosomes 6 and 7. Comparisons were made between C-51 (a CSSL harbouring qPGWC-7 and having a chalky endosperm) and the recurrent parent 9311 (translucent endosperm) to characterize the physical and chemical differences between translucent and chalky endosperm. Unlike the translucent endosperm, the chalky endosperm contains loosely packed starch granules, and there were significant difference between C-51 and 9311 for amylopectin structure and degree of crystallinity, but not for either amylose content or starch viscosity. Segregation analysis of the F2 population from the cross between C-51 and 9311 showed PGWC is a semi-dominant trait, controlled by single nuclear gene. A large F2 population was constructed from the cross C51x9311, and used for the fine mapping of qPGWC-7, which was located to a 44-kb DNA fragment, containing thirteen predicted genes. This result provides a springboard for the map-based cloning of qPGWC-7 and allowed for marker-assisted selection for endosperm texture.

Depression is a debilitating psychiatric disorder and a growing global public health issue. However, the relationships between microbial infections and depression remains uncertain. A computerized literature search of Medline, ISI Web of Knowledge, PsycINFO, and the Cochrane Library was conducted up to May 2013, and 6362 studies were initially identified for screening. Case-control studies detected biomarker of microorganism were included. Based on inclusion and exclusion criteria, 28 studies were finally included to compare the detection of 16 infectious agents in unipolar depressed patients and healthy controls with a positive incident being defined as a positive biochemical marker of microbial infection. A customized form was used for data extraction. Pooled analysis revealed that the majority of the 16 infectious agents were not significantly associated with depression. However, there were statistically significant associations between depression and infection with Borna disease virus, herpes simplex virus-1, varicella zoster virus, Epstein-Barr virus, and Chlamydophila trachomatis.

No abstract

Five satellite precipitation products, including Climate Prediction Center Morphing Technique (CMORPH), Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Network (PERSIANN), Tropical Rainfall Measuring Missing (TRMM) Multisatellite Precipitation Analysis (TMPA) version 7 products 3B41RTV7, 3B42RTV7, and 3B42V7, are systematically evaluated by comparing to the daily precipitation data collected from ~2400 gauge stations over China during January 2000 to December 2014. Satellite estimates generally capture the overall spatial‐temporal variation of precipitation over China with relatively better ability in warm seasons than in cold seasons. Meanwhile, satellite precipitation estimates also tend to show better agreement with gauge observations over humid regions than over arid and alpine regions. Analysis of the systematic and random error components suggests that the uncertainties in both TRMM3B42RTV7 and TRMM3B42V7 precipitation estimates are significantly reduced over most parts of China compared to the other three satellite products. Among the five products, the research product TRMM3B42V7 with bias adjustments agrees the most with the gauge observation in terms of spatiotemporal variation, amplitude and pattern of variability, occurrence of rainy events, and probability distribution function of the precipitation amount for different rain rates over most parts of China; the near‐real‐time product TRMM3B42RTV7 with the application of improved retrieval algorithms and more satellite data performs the second best over most subregions of eastern China. The improvements of TRMM3B42RTV7 without bias adjustments over eastern China relative to CMORPH, PERSIANN, and TRMM3B41RTV7 are encouraging and favorable for the operational applications.

Sensitive responses among bacterial and fungal communities to pyrogenic organic matter (PyOM) (biochar) addition in rhizosphere and bulk soils are poorly understood. We conducted a pot experiment with manure and straw PyOMs added to an acidic paddy soil, and identified the sensitive “responders” whose relative abundance was significantly increased/decreased among the whole microbial community following PyOM addition. Results showed that PyOMs significantly (p < 0.05) increased root growth, and simultaneously changed soil chemical parameters by decreasing soil acidity and increasing biogenic resource. PyOM-induced acidity and biogenic resource co-determined bacterial responder community structure whereas biogenic resource was the dominant parameter structuring fungal responder community. Both number and proportion of responders in rhizosphere soil was larger than in bulk soil, regardless of PyOM types and microbial domains, indicating the microbial community in rhizosphere soil was sensitive to PyOM addition than bulk soil. The significant increased root biomass and length caused by PyOM addition, associated with physiological processes, e.g. C exudates secretion, likely favored more sensitive responders in rhizosphere soil than in bulk soil. Our study identified the responders at fine taxonomic resolution in PyOM amended soils, improved the understanding of their ecological phenomena associated with PyOM addition, and examined their interactions with plant roots.