Chimeric contribution of human extended pluripotent stem cells to monkey embryos ex vivo

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图形视网膜电图的空间和时间调谐特性——FFT分析

用快速傅里叶转换(FFT)技术分析了图形视网膜电图(PERG)的空间和时间调谐特性。PERG 的二次谐波在较高的空间频率(>0.46周/度)逐渐下降,与 PERG振幅的变化相似,但显示明显的低空间频率衰减。空间和时间调谐特性存在一定的相关。引起最大二次谐波振幅的最佳时间频率,在低空间频率时(<0.23周/度)由低频(≤3.91Hz)移至 7.81Hz。     

Exploration research on the fusion of multimodal spectrum technology to improve performance of rapid diagnosis scheme for thyroid dysfunction

The spectral fusion by Raman spectroscopy and Fourier infrared spectroscopy combined with pattern recognition algorithms is utilized to diagnose thyroid dysfunction serum, and finds the spectral segment with the highest sensitivity to further advance diagnosis speed. Compared with the single infrared spectroscopy or Raman spectroscopy, the proposal can improve the detection accuracy, and can obtain more spectral features, indicating greater differences between thyroid dysfunction and normal serum samples. For discriminating different samples, principal component analysis (PCA) was first used for feature extraction to reduce the dimension of high‐dimension spectral data and spectral fusion. Then, support vector machine (SVM), back propagation neural network, extreme learning machine and learning vector quantization algorithms were employed to establish the discriminant diagnostic models. The accuracy of spectral fusion of the best analytical model PCA‐SVM, single Raman spectral accuracy and single infrared spectral accuracy is 83.48%, 78.26% and 80%, respectively. The accuracy of spectral fusion is higher than the accuracy of single spectrum in five classifiers. And the diagnostic accuracy of spectral fusion in the range of 2000 to 2500 cm^?1 is 81.74%, which greatly improves the sample measure speed and data analysis speed than analysis of full spectra. The results from our study demonstrate that the serum spectral fusion technique combined with multivariate statistical methods have great potential for the screening of thyroid dysfunction.     

Reliability of wavefront shaping based on coherent optical adaptive technique in deep tissue focusing

Wavefront shaping can compensate the wavefront distortions in deep tissue focusing, leading to an improved penetration depth. However, when using the backscattered signals as the feedback, unexpected compensation bias may be introduced, resulting in focusing position deviations or even no focus in the illumination focal plane. Here we investigated the reliability of wavefront shaping based on coherent optical adaptive technique in deep tissue focusing by measuring the position deviations between the foci in the illumination focal plane and the epi‐detection plane. The experimental results show that when the penetration depth reaches 150 μm in mouse brain tissue (with scattering coefficient ~22.42 mm^?1) using a 488 nm laser and an objective lens with 0.75 numerical aperture, the center of the real focus will deviate out of one radius range of the Airy disk while the optimized focus in the epi‐detection plane maintained basically at the center. With the penetration depth increases, the peak to background ratio of the focus in the illumination focal plane decreases faster than that in the epi‐detection plane. The results indicate that when the penetration depth reaches 150 μm, feedback based on backscattered signals will make wavefront shaping lose its reliability, which may provide a guidance for applications of non‐invasive precise optogenetics or deep tissue optical stimulation using wavefront shaping methods. A, Intensity distribution in the epi‐detection plane and the illumination focal plane before and after correction, corresponding to brain sections with 250 and 300 μm thickness, respectively. Scale bar is 2 μm. B, Averaged focusing deviations in the epi‐detection plane (optimized) and the illumination focal plane (monitored) after compensation. The unit of the ordinate is one Airy disk diameter. Black dashed line represents one Airy disk radius. Bars represent the SE of each measurement set.      

肿瘤特异性蛋白B7-H4纳米抗体的筛选和鉴定

羊驼体内存在天然缺少轻链的重链抗体,克隆重链抗体可变区(VHH),即可构建单域抗体(single-domain antibodies,sdAbs),又称纳米抗体(nanobody,Nb)。利用非免疫羊驼噬菌体文库筛选肿瘤特异性蛋白B7-H4的纳米抗体,经过4轮淘选,ELASE鉴定阳性克隆噬菌体,测序获得其DNA序列后体外转录为mRNA,将修饰纯化后的mRNA转染到肿瘤细胞,利用细胞免疫荧光检测mRNA在肿瘤细胞内是否表达,Western印迹进一步验证其表达情况;通过CCK-8法鉴定其对肿瘤细胞的增殖抑制能力;划痕实验鉴定其对肿瘤细胞迁移能力的影响;Transwell法鉴定其对肿瘤细胞的侵袭能力的影响;裸鼠荷瘤模型瘤旁注射mRNA,鉴定其在体内实验对肿瘤组织的作用。结果显示,通过淘选获得1个高亲和性的噬菌体株菌H6;DNA测序并导出的氨基酸序列符合羊驼纳米抗体结构;将其mRNA导入肿瘤细胞,能有效表达出纳米抗体H6;转染H6-mRNA的肿瘤细胞(0.84±0.08)与未转染H6-mRNA的对照组(1.83±0.04)相比,其增殖能力明显受到抑制,P<0.01,其迁移和侵袭能力(78.60±5.36)明显低于空白对照组(197.80±21.04),效果优于B7-H4 mRNA的siRNA(95.40±16.56);在裸鼠乳腺癌模型中能有效抑制肿瘤生长,效果优于紫杉醇和B7-H4 mRNA的siRNA。这说明筛选所得抗B7-H4纳米抗体H6能特异结合B7-H4蛋白并封闭其功能,导致肿瘤细胞的增殖、迁移和侵袭受到抑制。该结果为利用B7-H4作为治疗癌症的靶点提供了实验基础。     

Lactate from cultures of Lactobacillus casei recovered in a fluidized bed column using ion exchange resin

Summary Lactic acid produced by continuous culture of L.casei in an upflow packed bed reactor, was recovered with Amberlite IRA 400 in a fluidized bed column. Bed expansions of 1.25 and 2.25 were applied. Reutilization did not alter the capability of net recovery of 0.048 ± 0.01 g lactic acid/g resin. When 2200 cm/h of ascensional velocity was used, (bed expansion of 2.25), the resin adsorbed 39.3% of the initial lactic acid and 63.5% was eluted. This resin supported the highest exchange capacity of 0.126 g lactic acid/g resin. Applying high flow rates, the process has potential industrial applications due to the short time employed.