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Scalable joint segmentation and registration framework for infant brain images
Dong, Pei,Wang, Li,Lin, Weili,Shen, Dinggang,Wu, Guorong Elsevier 2017 Neurocomputing Vol.229 No.-
<P><B>Abstract</B></P> <P>The first year of life is the most dynamic and perhaps the most critical phase of postnatal brain development. The ability to accurately measure structure changes is critical in early brain development study, which highly relies on the performances of image segmentation and registration techniques. However, either infant image segmentation or registration, if deployed independently, encounters much more challenges than segmentation/registration of adult brains due to dynamic appearance change with rapid brain development. In fact, image segmentation and registration of infant images can assists each other to overcome the above challenges by using the growth trajectories (i.e., temporal correspondences) learned from a large set of training subjects with complete longitudinal data. Specifically, a one-year-old image with ground-truth tissue segmentation can be first set as the reference domain. Then, to register the infant image of a new subject at earlier age, we can estimate its tissue probability maps, i.e., with sparse patch-based multi-atlas label fusion technique, where only the training images at the respective age are considered as atlases since they have similar image appearance. Next, these probability maps can be fused as a good initialization to guide the level set segmentation. Thus, image registration between the new infant image and the reference image is free of difficulty of appearance changes, by establishing correspondences upon the reasonably segmented images. Importantly, the segmentation of new infant image can be further enhanced by propagating the much more reliable label fusion heuristics at the reference domain to the corresponding location of the new infant image via the learned growth trajectories, which brings image segmentation and registration to assist each other. It is worth noting that our joint segmentation and registration framework is also flexible to handle the registration of any two infant images even with significant age gap in the first year of life, by linking their joint segmentation and registration through the reference domain. Thus, our proposed joint segmentation and registration method is scalable to various registration tasks in early brain development studies. Promising segmentation and registration results have been achieved for infant brain MR images aged from 2-week-old to 1-year-old, indicating the applicability of our method in early brain development study.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We developed an efficient approach to deal with the tissue segmentation and registration for the infant brain MR images. </LI> <LI> Our proposed framework is scalable to various registration tasks in early brain development studies. </LI> <LI> Promising results have been achieved for infant brain MR images aged from 2-week-old to 1-year-old. </LI> <LI> The proposed technique can be very useful for many ongoing early brain development studies. </LI> </UL> </P>
Wen, Min,Zheng, Jin Hai,Choi, Jin Myung,Pei, Jian,Li, Chun-Hao,Li, Song-Yuan,Kim, In-Young,Lim, Sa-Hoe,Jung, Tae-Young,Moon, Kyung-Sub,Min, Jung-Joon,Jung, Shin Elsevier 2018 Cancer letters Vol.433 No.-
<P><B>Abstract</B></P> <P>Glioma is one of the most devastating and refractory cancers. The main factors underlying therapeutic failure include extremely invasive characteristics and lack of effective methods for drug delivery. Attenuated <I>Salmonella</I> strains presented a high concentration of tumor targets in various types of cancer models, suggesting a role as potential vectors for drug delivery. In this study, we genetically engineered an attenuated strain of <I>Salmonella</I> as an anti-invasive vector for the targeted delivery and expression of tissue inhibitor of metalloproteinases 2 (TIMP-2) in an orthotopic nude mouse model of glioma. The bioluminescence signals related to tumor size significantly declined in the TIMP-2-expressing <I>Salmonella</I> (SLpTIMP-2)-treated group compared with the control group. Compared with the control group with a survival rate of an average of 33 days, the SLpTIMP-2 group showed an extended survival rate by nearly 60% and lasted an average period of 53 days with TIMP-2 induction. These results indicated the promising therapeutic potential of <I>S. typhimurium</I> for targeted delivery and secretion of TIMP-2 in glioma.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Intracranial injection of <I>Salmonella</I> has been demonstrated to be a more effective than tail vein injection. </LI> <LI> Treatment with TIMP-2-expressing bacteria showed down regulation of MMP-2 in orthotopic glioma. </LI> <LI> TIMP-2-expressing bacteria significantly inhibited tumor growth and elongated animal survive. </LI> </UL> </P>
Exogenous Glycinebetaine Application Contributes to Abiotic Stress Tolerance in Maize
Pei Laming,Li Hongmei,Zhou Yuanyuan,Li Weijun,Jiang Yuhang,Li Hui 한국식물학회 2022 Journal of Plant Biology Vol.65 No.6
Plant growth and development are adversely affected by various environmental stresses. In this study, we investigated the possible function of glycinebetaine (GB) in improving abiotic stress tolerance in maize plants by exogenous application. Results indicated that GB application could effectively improve maize germination percentages, biomass weights and grain yield per plant under abiotic stresses. Moreover, GB-treated plants showed higher reactive oxygen species (ROS)-scavenging capacities, therefore less oxidative destruction than control plants under stresses. In addition, abscisic acid (ABA) levels were increased in GB-treated plants compared to control plants. The comparison of transcriptome profile was performed to analyze the possible mechanism underlying the enhanced tolerance mediated by GB. Many differentially expressed genes (DEGs) between GB-treated and control plants were found to be involved in responses to oxidative stress, abiotic stress and ABA. Taken together, these results indicated that GB might enhance abiotic stress tolerance in maize by regulating ROS-scavenging capacities and ABA-mediated stress-responsive pathways.
Li, Jiao,Zhang, Lu-Pei,Gan, Qian-Fu,Li, Jun-Ya,Gao, Hui-Jiang,Yuan, Zheng-Rong,Gao, Xue,Chen, Jin-Bao,Xu, Shang-Zhong Asian Australasian Association of Animal Productio 2010 Animal Bioscience Vol.23 No.11
Calpastatin (CAST), an endogenous inhibitor of the calpains, plays an important role in post-mortem tenderization of meat. The objectives of this study were to investigate single nucleotide polymorphisms (SNPs) in the bovine CAST gene and association with carcass and meat quality traits. A total of 212 cattle from commercial herds were tested in this study including 2 pure introduced breeds, 4 cross populations, and 3 pure Chinese native breeds. Five SNPs were identified at position 2959 (A/G), 2870 (G/A), 3088 (C/T), 3029 (G/A) and 2857 (C/T) in the CAST gene (GenBank Accession No. AF159246). Allele frequencies of SNP2959 and SNP2870 were 0.701 (A) and 0.462 (A), respectively. A general linear model was used to evaluate the associations between the two markers and 7 traits. The results showed that both SNP2959 and SNP2870 were significantly (p<0.01) associated with the Warner-Bratzler shear force (WBSF), while they had no significant association with the other 6 traits in the whole population. However, in Chinese native pure breeds, only SNP2870 had significant association with WBSF (p<0.05). The simultaneous analysis of two-marker genotype effects indicated animals containing the A/G haplotype (A for SNP2959 and G for SNP2870) tended to have lower shear force than those containing the G/A haplotype, and, especially, animals homozygous for the A/G haplotype had approximately 2 kg lower shear force than those homozygous for the G/A haplotype (p<0.01). These results suggested that both markers may be effective for the marker-assisted selection of meat quality traits in Chinese commercial herds, especially SNP2870 which can be used for Chinese native cattle.
Biomarkers Screening Between Preoperative and Postoperative Patients in Pancreatic Cancer
Li, Pei,Yang, Juan,Ma, Qing-Yong,Wu, Zheng,Huang, Chen,Li, Xu-Qi,Wang, Zheng Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.7
Objective: To investigate discriminating protein patterns and potential biomarkers in serum samples between pre/postoperative pancreatic cancer patients and healthy controls. Methods: 23 serum samples from PC patients (12 preoperative and 11 postoperative) and 76 from healthy controls were analyzed using matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI-TOF MS) technique combined with magnetic beads-based weak cation-exchange chromatography (MB-WCX). ClinProTools software selected several markers that made a distinction between pancreatic cancer patients and healthy controls. Results: 49 m/z distinctive peaks were found among the three groups, of which 33 significant peaks with a P < 0.001 were detected. Two proteins could distinguish the preoperative pancreatic cancer patients from the healthy controls. About 15 proteins may be potential biomarkers in assessment of pancreatic cancer resection. Conclusion: MB-MALDI-TOF-MS method could generate serum peptidome profiles of pancreatic cancer and provide a new approach to identify potential biomarkers for diagnosis and prognosis of this malignancy.
Practical method for determining load and resistance factors using third-moment transformation
Pei-Pei Li,Zhao-Hui Lu,Yan-Gang Zhao 국제구조공학회 2021 Structural Engineering and Mechanics, An Int'l Jou Vol.80 No.2
Load and resistance factor design (LRFD) is a suitable format for the reliability-based limit state design of structures. It has been adopted in many countries, such as the United States, Europe, Canada, and Japan. Usually, the first-order reliability method (FORM) is used to estimate the load and resistance factors, but it requires the determination of design points and complicated double iterative computations. Therefore, FORM is not easy or practical for engineers to use. This paper presents a simple, accurate method to determine the load and resistance factors utilizing the third-moment transformation, which does not require derivative-based iterations and can estimate the load and resistance factors without using the distribution of random variables. In addition, the proposed method provides enough accurate results within a wide range of target reliability indices. Therefore, this method should be effective and convenient for calculating the load and resistance factors in actual practice. Five numerical examples illustrate the proposed method’s efficiency and accuracy; FORM provides a benchmark for comparison.