The first structure of human Golm1 coiled coil domain reveals an unexpected tetramer and highlights its structural diversity.

Golgi membrane protein 1 (Golm1), a transmembrane protein with diverse subcellular localizations, has garnered significant attention in recent years due to its strong association with the development and progression of liver diseases and numerous cancers. Interestingly, although Golm1 is a membrane protein, the C-terminal of Golm1, which contains a coiled coil domain and a flexible acid region, can also be detected in the plasma of patients with various liver diseases. Notably, the coiled coil domain of serum Golm1 is postulated to play a pivotal role in physiological and pathological functions. However, little is currently known about the structure of this coiled coil domain and the full-length protein, which may limit our understanding of Golm1. Therefore, this study aims to address this gap in knowledge and reports the first crystal structure of the coiled coil domain of Golm1 at a resolution of 2.28 Å. Meanwhile, we have also confirmed that the Golm1 coiled coil domain in solution can form tetramer. Our results reveal that Golm1 can form a novel tetrameric structure that differs from the previous reported dimeric structure Golm1 could assemble, which may provide novel insights into the diversity of physiological functions and pathological roles.

One-pot preparation of Mn3O4/GSH/CdTe quantum dots complex for T1-weighted MRI/fluorescence detection of H3PO4.

Magnetic resonance and fluorescence dual mode imaging with both advantages of high sensitivity and high spatial resolution, which could realize real-time, in situ, and dynamic imaging, is very suitable for detecting small molecules. And the synthesis of imaging materials with good imaging performance has become the core content. In this paper, based on biomimetic mineralization technology, GSH has been used as a material to design a one-pot method for the preparation of Mn3O4/GSH/CdTe quantum dots composites (MGQ in short). Furthermore, MGQ with good T1MR and fluorescence response to the variety concentration of H3PO4, has been used for quantitative analysis of H3PO4 in serum. And the lowest limit detection could reach 0.1769 nmol/L for fluorescent detection, 0.02207 mol/L for MRI detection. MGQ would be applied as a sensor in diagnostic and clinical applications.

Airborne LiDAR point cloud classification using PointNet++ network with full neighborhood features.

Compared with other point clouds, the airborne LiDAR point cloud has its own characteristics. The deep learning network PointNet++ ignores the inherent properties of airborne LiDAR point, and the classification precision is low. Therefore, we propose a framework based on the PointNet++ network. In this work, we proposed an interpolation method that uses adaptive elevation weight to make full use of the objects in the airborne LiDAR point, which exhibits discrepancies in elevation distributions. The class-balanced loss function is used for the uneven density distribution of point cloud data. Moreover, the relationship between a point and its neighbours is captured, densely connecting point pairs in multiscale regions and adding centroid features to learn contextual information. Experiments are conducted on the Vaihingen 3D semantic labelling benchmark dataset and GML(B) benchmark dataset. The experiments show that the proposed method, which has additional contextual information and makes full use of the airborne LiDAR point cloud properties to support classification, achieves high accuracy and can be widely used in airborne LiDAR point classification.

The preparation of MnO2/BSA/CdTe quantum dots complex for ratiometric fluorescence/ T1-weighted MRI detection of H2O2.

Hydrogen peroxide, as the second messenger in cells, plays an essential regulatory role in cell proliferation, differentiation and migration. How to effectively identify H2O2 signals, and detect H2O2 in circulating tumor cells, are essential for the early diagnosis of tumors. Herein a fluorescence and T1-weighted MR dual-mode imaging material, named MnBQ, has been successfully prepared and characterized. Based on the chemical redox reaction between MnBQ and H2O2, a fluorescence/T1-weighted MRI dual-mode sensor has been developed for quantitative analysis of H2O2, of which the lowest limit detection obtained from fluorescence and MRI could reach 2.841 µmol/L and 43.85 µmol/L, respectively. This imaging sensor has dual advantages of high sensitivity and high spatial resolution, which could be a good candidate for monitoring of H2O2 in vivo.

N,S-GQDs mixed with CdTe quantum dots for ratiometric fluorescence visual detection and quantitative analysis of malachite green in fish.

N,S-GQDS was prepared through citric acid cracking method from thiourea and citric acid, a ratiometric fluorescence sensor was constructed for the detection of malachite green based on CdTe quantum dots and N,S-GQDs. Interestingly the color of this ratiometric fluorescence sensor could change from red to blue under UV light upon exposure to different amounts of malachite green, and this ratiometric fluorescence sensor could be used for visual detection of malachite green. Fluorescence emission spectra of this ratiometric fluorescence sensor with different amounts of malachite green were also analyzed, and there was a good linear relationship between F460nm/F666nm and concentrations of malachite green, the lowest limit detection could reach 0.4597 nmol/L. Furthermore, this proposed ratiometric sensor is used for quantitative analysis of malachite green in fish sample. Results shown that this ratiometric fluorescence sensor is feasibility and practicality for both visual detection and quantitative analysis of malachite green.

Retro-protein XXA is a remarkable solubilizing fusion tag for inclusion bodies.

BACKGROUND: Producing large amounts of soluble proteins from bacteria remains a challenge, despite the help of current various solubilizing fusion tags. Thus, developing novel tags is necessary. Antifreeze protein (AFP) has excellent solubility and hydrophilicity, but there are no current reports on its use as a solubilizing fusion tag. Additionally, there is no precedent for using retro-proteins (reverse sequence) as solubilizing fusion tags. Therefore, we selected the antifreeze protein AXX and obtained its retro-protein XXA by synthesizing the XXA gene for the development of a new solubilizing fusion tag. RESULTS: XXA exhibits better stability and ease of expression than AXX; hence, we focused the development of the solubilizing fusion tag on XXA. XXA fused with the tested inclusion bodies, significantly increasing the soluble expression compared with commonly used solubilizing fusion tags such as GST, Trx, Sumo, MBP, and NusA. The tested proteins became soluble after fusion with the XXA tag, and they could be purified. They maintained a soluble form after XXA tag removal. Finally, we used enzymatic digestion reaction and western blot experiments to verify that bdNEDP1 and NbALFA, which were soluble expressed by fusion with XXA, were active. CONCLUSION: We developed the novel solubilizing fusion tag XXA, which could more effectively facilitate the soluble expression of inclusion bodies compared with current commonly used tags. XXA could function at both low and high temperatures, and its moderate molecular weight has a limited impact on the output. These properties make XXA an ideal fusion tag for future research and industrial production. Moreover, for the first time, we highlighted the broad potential of antifreeze protein as a solubilizing fusion tag, bringing retro-protein into practical application.