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[Display omitted] Src kinase is a membrane-related nonreceptor tyrosine kinase that plays an essential role in cell growth, division, migration, and survival signaling pathways. In addition, it regulates glucose metabolism in cancer cells through different mechanisms, such as directly regulating glucose metabolism related enzymes and glucose transporters or indirectly regulating transcription factors and signal transduction pathways. In this review, we clarify the role of Src kinase in regulating glucose metabolism in cancer cells, and partially explain the pathogenesis of malignant tumors. We also discuss that further understanding and study of the role of Src kinase in glucose metabolism will provide a potential therapeutic window for cancer treatment. [ABSTRACT FROM AUTHOR]

[Display omitted] • The efficient D-lactic acid production from G. amansii hydrolysate was achieved. • P. acicilactici fermented the mixed sugars of galactose, glucose and xylose without CCR. • SSCF of the pretreated and biodetoxified G. amansii was conducted using P. acidilactici. • A record high of D-lactic acid (41.4 g/L) from macroalgae biomass was obtained. Macroalgae biomass has been considered as a promising renewable feedstock for lactic acid production owing to its lignin-free, high carbohydrate content and high productivity. Herein, the D-lactic acid production from red macroalgae Gelidium amansii by Pediococcus acidilactici was investigated. The fermentable sugars in G. amansii acid-prehydrolysate were mainly galactose and glucose with a small amounts of xylose. P. acidilactici could simultaneously ferment the mixed sugars of galactose, glucose and xylose into D-lactic acid at high yield (0.90 g/g), without carbon catabolite repression (CCR). The assimilating pathways of these sugars in P. acidilactici were proposed based on the whole genome sequences. Simultaneous saccharification and co-fermentation (SSCF) of the pretreated and biodetoxified G. amansii was also conducted , a record high of D-lactic acid (41.4 g/L) from macroalgae biomass with the yield of 0.34 g/g dry feedstock was achieved. This study provided an important biorefinery strain for D-lactic acid production from macroalgae biomass. [ABSTRACT FROM AUTHOR]

[Display omitted] N6-methyladenosine (m6A) is the most prevalent, abundant and conserved type of internal posttranscriptional RNA modification in eukaryotic cells. Emerging evidence suggests that m6A modifications perform important functions that affect antitumor immunity. Programmed death 1 (PD-1) and programmed cell death-ligand 1 (PD-L1) are the two most well-studied immune checkpoint pathways. The interaction of PD-L1 with its receptor PD-1 inhibits cytotoxic T -cell-mediated tumor responses, and blockade of this interaction has proven to be an effective immunotherapy strategy in various cancers. Unfortunately, few cancer patients benefit from the two tools due to uncertain resistance. m6A plays an important role in affecting RNA biogenesis and process in various cancers. Understanding the molecular mechanism of drug resistance will promote the development of personalized clinical management. In this review, we systematically discussed the mechanisms by which m6A regulates PD-1 and PD-L1 expression and further their functions in the process of tumor immunotherapy and the potential application prospects of m6A-associated molecules. Moreover, mounting m6Ascore is established to evaluate the prognosis of cancer. [ABSTRACT FROM AUTHOR]

• A novel strategy to fuse the camera and 2D-Lidar information for motion estimation. • A new strategy that utilizes both visual and Lidar data to determine the loop candidate. • Can obtain a hybrid metric-feature submap. • Can generate a global consistent metric-feature scene representation. • Experiments verify the mapping method is accurate and robust. Mapping the surroundings is a challenging task required for mobile robot. Fusion of heterogeneous sensors measurement has gradually been the main focus of robot perception. In this work, the Lidar and camera measurement is fused to obtain robust motion estimation and construct hybrid metric-feature map. By coupling visual information, the powerful tracking ability of visual features is heuristically applied to support the scan matching. With the estimation of Lidar odometry, the camera motion in complicated scene can be guaranteed. Meanwhile, the hybrid map is divided into submaps to improve the mapping efficiency, and each submap is composed of a grid-based metric submap and a group of visual features. Then a multi-stage loop closure strategy is applied to determine the loop candidate. Besides, multi-layer optimization including local bundle adjustment and pose graph optimization is performed to obtain global consistent map. The effectiveness of the proposed method is verified in different scenarios. [ABSTRACT FROM AUTHOR]