3篇
您的检索式：作者名="Cirong Liu"
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| 1 | Transgenic rhesus monkeys carrying the human MCPH1 gene copies show human-like neoteny of brain development显示文摘Brain size and cognitive skills are the most dramatically changed traits in humans during evolution and yet the genetic mechanisms underlying these human-specific changes remain elusive.Here,we successfully generated 11 transgenic rhesus monkeys(8 first-generation and 3 second-generation)carrying human copies of MCPH1,an important gene for brain development and brain evolution.Brain-image and tissue-section analyses indicated an altered pattern of neural-cell differentiation,resulting in a delayed neuronal maturation and neural-fiber myelination of the transgenic monkeys,similar to the known evolutionary change of developmental delay(neoteny)in humans.Further brain-transcriptome and tissue-section analyses of major developmental stages showed a marked human-like expression delay of neuron differentiation and synaptic-signaling genes,providing a molecular explanation for the observed brain-developmental delay of the transgenic monkeys.More importantly,the transgenic monkeys exhibited better short-term memory and shorter reaction time compared with the wild-type controls in the delayed-matching-to-sample task.The presented data represent the first attempt to experimentally interrogate the genetic basis of human brain origin using a transgenic monkey model and it values the use of non-human primates in understanding unique human traits. | Lei Shi Xin Luo Jin Jiang Yongchang chen Cirong Liu Ting Hu Min Li Qiang Lin Yanjiao Li Jun Huang Hong Wang Yuyu Niu Yundi Shi Martin Styner Jianhong Wang Yi Lu Xuejin Sun Hualin Yu Weizhi Ji Bing Su | 2019 | National Science Review2019，6，3： | 12 |
| 2 | Brain developmental and cortical connectivity changes in transgenic monkeys carrying the human-specific duplicated gene SRGAP2C显示文摘Human-specific duplicated genes contributed to phenotypic innovations during the origin of our own species, such as an enlarged brain and highly developed cognitive abilities. While prior studies on transgenic mice carrying the human-specific SRGAP2C gene have shown enhanced brain connectivity, the relevance to humans remains unclear due to the significant evolutionary gap between humans and rodents. In this study, to investigate the phenotypic outcome and underlying genetic mechanism of SRGAP2C, we generated transgenic cynomolgus macaques (Macaca fascicularis) carrying the human-specific SRGAP2C gene. Longitudinal MRI imaging revealed delayed brain development with region-specific volume changes, accompanied by altered myelination levels in the temporal and occipital regions. On a cellular level, the transgenic monkeys exhibited increased deep-layer neurons during fetal neurogenesis and delayed synaptic maturation in adolescence. Moreover, transcriptome analysis detected neotenic expression in molecular pathways related to neuron ensheathment, synaptic connections, extracellular matrix and energy metabolism. Cognitively, the transgenic monkeys demonstrated improved motor planning and execution skills. Together, our findings provide new insights into the mechanisms by which the newly evolved gene shapes the unique development and circuitry of the human brain. | Xiaoyu Meng Qiang Lin Xuerui Zeng Jin Jiang Min Li Xin Luo Kaimin Chen Haixu Wu Yan Hu Cirong Liu Bing Su | 2023 | National Science Review2023，10，11： | 1 |
| 3 | Feature-reduction and semi-simulated data in functional connectivity-based cortical parcellation显示文摘Recently, resting-state functional magnetic resonance imaging has been used to parcellate the brain into functionally distinct regions based on the information available in functional connectivity maps. However, brain voxels are not independent units and adjacent voxels are always highly correlated, so functional connectivity maps contain redundant information, which not only impairs the computational efficiency during clustering, but also reduces the accuracy of clustering results. The aim of this study was to propose feature-reduction approaches to reduce the redundancy and to develop semisimulated data with defined ground truth to evaluate these approaches. We proposed a feature-reduction approach based on the Affinity Propagation Algorithm (APA) and compared it with the classic featurereduction approach based on Principal Component Analysis (PCA). We tested the two approaches to the parcellation of both semisimulated and real seed regions using the K-means algorithm and designed two experiments to evaluate their noiseresistance. We found that all functional connectivity maps (with/without feature reduction) provided correct information for the parcellation of the semisimulated seed region and the computational efficiency was greatly improved by both featurereduction approaches. Meanwhile, the APA-based feature-reduction approach outperformed the PCAbased approach in noise-resistance. The results suggested that functional connectivity maps can provide correct information for cortical parcellation, and feature-reduction does not significantly change the information. Considering the improvement in computational efficiency and the noise-resistance, feature-reduction of functional connectivity maps before cortical parcellation is both feasible and necessary. | Xiaoguang Tian Cirong Liu Tianzi Jiang Joshua Rizak Yuanye Ma Xintian Hu | 2013 | Neuroscience Bulletin2013，29，3： | 0 |
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