经寰枕间隙侧方穿刺移植人脐血单个核细胞对难治性神经系统疾病的疗效分析

目的探讨寰枕间隙侧方穿刺术移植人脐血单个核细胞治疗难治性神经系统疾病的可行性和安全性。 方法应用寰枕间隙侧方穿刺术对230例患者进行450次人脐血单个核细胞治疗,观察治疗中及治疗后有无不良反应和并发症,对比治疗前后血液分析、血沉、生化全项、出凝血机制和肿瘤标记物数值,同时观察患者治疗前后病情转归,采用配对比较t检验进行统计学分析。 结果所有患者治疗后均无头痛、感染、皮疹、血肿形成等不良反应和其它移植并发症出现。32例（7.1%）治疗后出现一过性血压升高,8例（1.8%）出现一过性发热,10例（2.2%）穿刺时诉穿刺处深部软组织胀痛,拔针后疼痛消失。患者白细胞计数治疗前（7.9±1.1）×10⁹个/?L和治疗后3个月（8.0±1.3）×10⁹个/L相比差异无统计学意义（t =?0.891,P?=?0.374）,谷丙转氨酶治疗前（31.9±5.8）U/L和治疗后3个月（32.4±6.2）U/L相比差异无统计学意义（t?=?0.893,P?=?0.372）,球蛋白治疗前（22.1±1.7）g/L和治疗后3个月（21.8±1.8）g/L相比差异无统计学意义（t?=?0.838,P?=?0.066）,AFP治疗前（9.9±1.6）μg/L和治疗后3个月（10.1±1.7）μg/L相比差异无统计学意义（t?=?1.299,P?=?0.195）,患者血液学指标（血常规+血沉、生化全项、全身肿瘤标记物、病毒筛查、出凝血机制）在治疗前后无统计学差异。183例患者治疗有效,有效率79.6%。 结论寰枕间隙侧方穿刺术移植人脐血单个核细胞治疗难治性神经系统疾病是安全可行并可能有效的。     

PLAC1特异性TCR基因修饰T细胞对乳腺癌的抗肿瘤作用

目的研究胎盘特异性基因1（PLAC1）特异性T细胞受体（TCR）基因修饰T细胞对乳腺癌的抗肿瘤作用。 方法磁珠分选人类白细胞抗原分型为A2（HLA-A2）的志愿者外周血单个核细胞（PBMC）中的CD8⁺ T细胞,流式检测CD8⁺ T细胞的表型。通过慢病毒载体构建、包装,将可识别乳腺癌肿瘤抗原PLAC1的HLA-A2限制性的TCR基因导入CD8⁺ T细胞（称为TCR-T细胞）,以慢病毒空载体包装、感染的CD8⁺ T细胞（NC-T细胞）作为对照细胞,通过流式细胞术检测PLAC1特异性TCR的表达效率。免疫荧光和流式细胞术检测乳腺癌细胞MCF-7和MDA-MB-231（三阴性乳腺癌细胞）的PLAC1和HLA-A2血清型的表达。WST-1法检测不同效靶比（5?:?1、10?:?1和20?:?1）TCR-T细胞或NC-T细胞与乳腺癌细胞MCF-7或MDA-MB-231作用后的细胞毒性,并通过ELISA检测共培养后T细胞IFN-γ的释放量。通过裸鼠皮下人乳腺癌移植瘤模型检测TCR-T细胞以及NC-T细胞的抗肿瘤作用。采用单因素方差分析及独立t检验进行统计学分析。 结果磁珠分选出的CD8⁺ T细胞CD3⁺ CD8⁺比例达到（98.89±0.30）%。经慢病毒感染、五聚体检测,TCR-T细胞中PLAC1特异性TCR的正确表达率为（24.58±0.82）%,NC-T细胞不表达PLAC1特异性TCR。免疫荧光和流式结果显示乳腺癌细胞MCF-7和MDA-MB-231为HLA-A2和PLAC1双阳性表达细胞。其中流式检测结果显示,MCF-7和MDA-MB-231细胞中HLA-A2的表达效率分别为（93.04±1.36）%和（98.72±0.12）%。在效靶比为20?:?1时,TCR-T细胞对MCF-7杀伤率为（51.5±1.37）%,高于NC-T细胞对MCF-7的杀伤率（5.93±2.40）%,t = 15.507,P < 0.01;TCR-T细胞对MDA-MB-231杀伤率为（44.34±2.20）%,高于NC-T细胞对MDA-MB-231杀伤率（5.15±2.40）% （t?= 10.694,P < 0.01）。在相同效靶比情况下,TCR-T细胞对MCF-7或MDA-MB-231细胞的细胞毒性高于NC-T细胞,且随着效靶比的增加杀伤效果增强。在效靶比为20?:?1时,与MCF-7共培养后TCR-T细胞IFN-γ的分泌水平[（347.49±4.10）pg/ml]高于NC-T细胞[（18.14±6.22）pg/ml]（t = -76.638,P < 0.01）;与MDA-MB-231共培养后TCR-T细胞IFN-γ的分泌水平为（255.25±6.85）pg/ml,高于NC-T细胞[（14.70±6.38）pg/ml] （t = -44.526,P < 0.01）,且随着效靶比的增加分泌量升高。在裸鼠皮下人乳腺癌移植瘤实验中,生理盐水组和NC-T细胞移植组小鼠的肿瘤生长迅速,TCR-T细胞治疗组小鼠肿瘤生长相对缓慢,在移植后第35天,生理盐水组、NC-T细胞组和TCR-T细胞组小鼠肿瘤的平均体积分别为（5?636.96±2?879.55）mm³、（5?522.12±3?391.48）mm³和（1?403.85±1?394.31）mm³,TCR-T细胞治疗组小鼠肿瘤体积明显小于生理盐水组（F = 0.1813,P < 0.05）和NC-T细胞组（F = 0.1307,P?< 0.05）。 结论PLAC1特异性TCR基因修饰T细胞对乳腺癌细胞具有较强的抗肿瘤作用,PLAC1可作为乳腺癌治疗的潜在靶标;PLAC1特异性TCR基因修饰T细胞治疗是PLAC1表达阳性的乳腺癌治疗的新策略。     

Morphology and Phylogeny of the Soil Ciliate Metopus yantaiensis n. sp. (Ciliophora,Metopida), with Identification of the Intracellular Bacteria

The morphology and infraciliature of a new ciliate, Metopus yantaiensis n. sp., discovered in coastal soil of northern China, were investigated. It is distinguished from its congeners by a combination of the following features: nuclear apparatus situated in the preoral dome; 18–21 somatic ciliary rows, of which three extend onto the preoral dome (dome kineties); three to five distinctly elongated caudal cilia, and 21–29 adoral polykinetids. The 18S rRNA genes of this new species and two congeners, Metopus contortus and Metopus hasei, were sequenced and phylogenetically analyzed. The new species is more closely related to M. hasei and the clevelandellids than to other congeners; both the genus Metopus and the order Metopida are not monophyletic. In addition, the digestion‐resistant bacteria in the cytoplasm of M. yantaiensis were identified, using a 16S rRNA gene clone library, sequencing, and fluorescence in situ hybridization. The detected intracellular bacteria are affiliated with Sphingomonadales, Rhizobiales, Rickettsiales (Alphaproteobacteria), Pseudomonas (Gammaproteobacteria), Rhodocyclales (Betaproteobacteria), Clostridiales (Firmicutes), and Flavobacteriales (Bacteroidetes).     

Single Cell Analysis Linking Ribosomal (r)DNA and rRNA Copy Numbers to Cell Size and Growth Rate Provides Insights into Molecular Protistan Ecology

Ribosomal (r)RNA and rDNA have been golden molecular markers in microbial ecology. However, it remains poorly understood how ribotype copy number (CN)‐based characteristics are linked with diversity, abundance, and activity of protist populations and communities observed at organismal levels. Here, we applied a single‐cell approach to quantify ribotype CNs in two ciliate species reared at different temperatures. We found that in actively growing cells, the per‐cell rDNA and rRNA CNs scaled with cell volume (CV) to 0.44 and 0.58 powers, respectively. The modeled rDNA and rRNA concentrations thus appear to be much higher in smaller than in larger cells. The observed rRNA:rDNA ratio scaled with CV^0.14. The maximum growth rate could be well predicted by a combination of per‐cell ribotype CN and temperature. Our empirical data and modeling on single‐cell ribotype scaling are in agreement with both the metabolic theory of ecology and the growth rate hypothesis, providing a quantitative framework for linking cellular rDNA and rRNA CNs with body size, growth (activity), and biomass stoichiometry. This study also demonstrates that the expression rate of rRNA genes is constrained by cell size, and favors biomass rather than abundance‐based interpretation of quantitative ribotype data in population and community ecology of protists.     

Genome-wide identification of novel microRNAs from genome sequences using computational approach in the mudskipper (<Emphasis Type="Italic">Boleophthalmus pectinirostris</Emphasis>)

MicroRNAs (miRNAs), approximately 22 nucleotides (nt) long, are small, non-coding RNA molecules with important regulatory functions in gene expression. They are mostly conserved among the organisms and this conservation makes them a good source for the identification of novel miRNAs by computational genomic homology. The miRNA repertoire of a major aquaculture species, Boleophthalmus pectinirostris, has been unknown until recently. Currently, the B. pectinirostris whole-genome sequences have been completed, making it more convenient for us to focus on computational prediction for novel miRNA homologs. Following a range of strict filtering criteria, a total of 62 potential miRNAs were identified for the first time; they belong to 39 different miRNA families. All these miRNAs were observed in the stem portion of the stable stem–loop structures. The minimum free energy (MFE) of the predicted miRNAs ranged from ?21.6 to ?62.7 kcal/mol with an average of ?39.2 kcal/mol. The A + U ranged from 32.5 to 69.1% with an average value of 52.2%. The phylogenetic analysis of predicted miRNAs revealed that miR-23a-3p, miR-184-3p, miR-214-5p, and miR-338-3p from B. pectinirostris are evolutionary highly conserved showing more similarity with other fish species. To verify the predicted miRNAs, selected miRNAs representing 16 of the 39 families were confirmed by stem–loop RT-PCR, indicating that the computational approach that we used to identify the miRNAs is a highly efficient and affordable alternative method. Taken together, these findings provide a reference point for further research on miRNAs identification in fish species, meanwhile, our study also will be useful for further insight into biological functions of miRNAs and improved understanding of genome in B. pectinirostris.     

Long noncoding RNA expression profiles in chondrogenic and hypertrophic differentiation of mouse mesenchymal stem cells

Long noncoding RNAs (lncRNAs) are important regulators for a variety of biological processes. Chondrogenic differentiation of mesenchymal stem cells (MSCs) is a crucial stage in chondrogenesis while chondrocyte hypertrophy is related to endochondral ossification and osteoarthritis. However, the effects of lncRNAs on chondrogenic and hypertrophic differentiation of mouse MSCs are unclear. To explore the potential mechanisms of lncRNAs during chondrogenesis and chondrocyte hypertrophy, microarray was performed to investigate the expression profiles of lncRNA and mRNA in MSCs, pre-chondrocytes, and hypertrophic chondrocytes. Then, we validated microarray data by RT-PCR and screened three lncRNAs from upregulating groups during chondrogenesis and chondrocyte hypertrophy respectively. After downregulating any of the above lncRNAs, we found that the expression of chondrogenesis-related genes such as Sox9 and Col2a1 and hypertrophy-related genes including Runx2 and Col10a1 was inhibited, respectively. Furthermore, the target genes of above lncRNAs were predicted by bioinformatics approaches. Gene ontology and Kyoto encyclopedia of genes and genome biological pathway analysis were also made to speculate the functions of above lncRNAs. In conclusion, the study first revealed the expression profile of lncRNAs in chondrogenic and hypertrophic differentiations of mouse MSCs and presented a new prospect for the underlying mechanisms of chondrogenesis and endochondral ossification.     

Methylated DNA/RNA in Body Fluids as Biomarkers for Lung Cancer

DNA/RNA methylation plays an important role in lung cancer initiation and progression. Liquid biopsy makes use of cells, nucleotides and proteins released from tumor cells into body fluids to help with cancer diagnosis and prognosis. Methylation of circulating tumor DNA (ctDNA) has gained increasing attention as biomarkers for lung cancer. Here we briefly introduce the biological basis and detection method of ctDNA methylation, and review various applications of methylated DNA in body fluids in lung cancer screening, diagnosis, prognosis, monitoring and treatment prediction. We also discuss the emerging role of RNA methylation as biomarkers for cancer.     

The characterization of plant species using first‐derivative fluorescence spectra

Plants are one of the most important parts of the ecological system and demand a reliable method for accurate classification. In this study, the first‐derivative fluorescence spectral curves (FDFSCs) based on laser‐induced fluorescence technology were proposed for the characterization of plant species. The measurement system is mainly composed of a spectrometer, an excitation light source (the two excitation wavelengths are 460 and 556 nm, respectively), and an intensified charge‐coupled device camera. FDFSCs were calculated from the deviation between the fluorescence values at each wavelength, plus and minus one band, divided by the wavelength range. Principal component analysis was utilized to analyze the FDFSCs by extracting the main attributes and reducing the dimensionality of variables. A support vector machine was used to evaluate FDFSC performance for the identification of plant species. Plant species that are difficult to distinguished by the naked eye, can be identified effectively using the proposed FDFSCs. For the 556 nm and 460 nm excitation wavelengths, the overall identification rates of the six plant species evaluated were 93.3% and 91.7%, respectively. Experimental results demonstrated that the combination of the FDFSCs with multivariate analysis could provide a simple and reliable method for the characterization of plant species.