No abstract

Sweet sorghum bagasse as an immobilized carrier for ABE fermentation by using Clostridium acetobutylicum ABE 1201.

Abstract. An imbalance in the various T lymphocytes, including T-helper (Th) 1 , Th 2 and Th 17 cells, and regulatory T (T reg ) cells, has been associated with immune dysfunction, and may occur following thoracotomy of patients with lung cancer. The use of transcutaneous acupoint electrical stimulation (TAES) has previously been demonstrated to exert immunoregulatory effects; therefore, the present study aimed to evaluate whether TAES was able to attenuate postoperative immune suppression in patients with lung cancer. Thoracic surgical patients with lung cancer (n=27) underwent TAES (frequency, 2/100 Hz; intensity, 4-12 mA) at the bilateral large intestine 4, pericardium 6, small intestine 3 and San Jiao 6 acupuncture points for 30 min, prior to incision, and at 20, 44, 68, 92 and 116 h following thoracotomy. The number of Th 1 , Th 2 , Th 17 and T reg cells, and the protein and mRNA expression levels of related cytokines were measured by flow cytometry, ELISA and polymerase chain reaction, respectively. The balance of Th 1 , Th 2 , Th 17 and T reg cells in the peripheral blood of patients with lung cancer was disrupted following thoracotomy. TAES administration increased the percentage of Th 1 and Th 17 cells, the protein expression levels of interleukin (IL)-2 and interferon-γ, the mRNA expression levels of T-bet and RAR-related orphan receptor-γt, and decreased the percentage of Th 2 cells, IL-10 protein expression levels, and GATA binding protein 3 mRNA expression levels. The results of the present study demonstrated that TAES was able to partially attenuate the postoperative immune depression of patients with lung cancer, by regulating the balance of Th 1 , Th 2 , Th 17 and T reg cells, and the expression levels of related cytokines and transcription factors; therefore, TAES may be considered to be a promising strategy for treating postoperative immune dysfunction in patients with lung cancer.

Author contributions: ZS and QT conceived the project. ZH wrote the software. ZS, QT and LS designed the model and wrote the manuscript. QT, LS and ZH designed the algorithms. LS, XF, HJ, KH, LY, FW, LY, LZ performed image analysis. LA and GH constructed the computing platform for image preprocessing and TDat. ZYH, XF, LH, JS prepared specimens. LN, LX, LQ, GH, ZS, LA produced the dataset.The authors declare no conflict of interest.not peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/223834 doi: bioRxiv preprint first posted online Nov. 22, 2017; AbstractRecent progresses allow imaging specific neuronal populations at single-axon level across mouse brain. However, digital reconstruction of neurons in large dataset requires months of human labor. Here, we developed a tool to solve this problem. Our tool offers a special error-screening system for fast localization of submicron errors in densely packed neurites and along long projection across the whole brain, thus achieving reconstruction close to the ground-truth. Moreover, our tool equips algorithms that significantly reduce intensive manual interferences and achieve high-level automation, with speed 5 times faster compared to semi-automatic tools.We also demonstrated reconstruction of 35 long projection neurons around one injection site of a mouse brain at an affordable time cost. Our tool is applicable with datasets of 10 TB or higher from various light microscopy, and provides a starting point for the reconstruction of neuronal population for neuroscience studies at a single-cell level.not peer-reviewed)