Nankai University

About: Nankai University is a education organization based out in Tianjin, China. It is known for research contribution in the topics: Catalysis & Enantioselective synthesis. The organization has 42964 authors who have published 51866 publications receiving 1127896 citations. The organization is also known as: Nánkāi Dàxué.

Chromatin-to-nucleoprotamine transition is controlled by the histone H2B variant TH2B

Abstract: The conversion of male germ cell chromatin to a nucleoprotamine structure is fundamental to the life cycle, yet the underlying molecular details remain obscure. Here we show that an essential step is the genome-wide incorporation of TH2B, a histone H2B variant of hitherto unknown function. Using mouse models in which TH2B is depleted or C-terminally modified, we show that TH2B directs the final transformation of dissociating nucleosomes into protamine-packed structures. Depletion of TH2B induces compensatory mechanisms that permit histone removal by up-regulating H2B and programming nucleosome instability through targeted histone modifications, including lysine crotonylation and arginine methylation. Furthermore, after fertilization, TH2B reassembles onto the male genome during protamine-to-histone exchange. Thus, TH2B is a unique histone variant that plays a key role in the histone-to-protamine packing of the male genome and guides genome-wide chromatin transitions that both precede and follow transmission of the male genome to the egg.

IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

Abstract: Insect pests are one of the main factors affecting agricultural product yield. Accurate recognition of insect pests facilitates timely preventive measures to avoid economic losses. However, the existing datasets for the visual classification task mainly focus on common objects, e.g., flowers and dogs. This limits the application of powerful deep learning technology on specific domains like the agricultural field. In this paper, we collect a large-scale dataset named IP102 for insect pest recognition. Specifically, it contains more than 75, 000 images belonging to 102 categories, which exhibit a natural long-tailed distribution. In addition, we annotate about 19, 000 images with bounding boxes for object detection. The IP102 has a hierarchical taxonomy and the insect pests which mainly affect one specific agricultural product are grouped into the same upperlevel category. Furthermore, we perform several baseline experiments on the IP102 dataset, including handcrafted and deep feature based classification methods. Experimental results show that this dataset has the challenges of interand intra- class variance and data imbalance. We believe our IP102 will facilitate future research on practical insect pest control, fine-grained visual classification, and imbalanced learning fields. We make the dataset and pre-trained models publicly available at https://github.com/xpwu95/IP102.

Epigenetic regulation of the innate immune response to infection.

Abstract: Innate immune cells have complex signalling pathways for sensing pathogens and initiating innate immune responses against infection. These pathways are tightly regulated at different levels, including by epigenetic regulators. In this Review, we discuss studies revealing the epigenetic mechanisms, as well as the post-transcriptional and post-translational modifications by chromatin modifiers, that underlie the establishment of these signalling networks and the rapid induction of innate immune molecules during infection. We also discuss how pathogens use their own products, as well as host components, to target host epigenomes for immune evasion and survival. We describe the crosstalk between epigenetic regulators and new modulators, such as inflammation-specific metabolites, and how we might deconstruct dynamic chromatin patterns and identify critical chromatin modifiers of host–pathogen interactions. This Review describes the diverse and dynamic chromatin modifications that ensure rapid and appropriate innate immune responses to infection. It also discusses how pathogens themselves modify host responses through epigenetic mechanisms to evade elimination.