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Institution

Nantong University

EducationNantong, China
About: Nantong University is a education organization based out in Nantong, China. It is known for research contribution in the topics: Cell growth & Cancer. The organization has 20131 authors who have published 13925 publications receiving 163694 citations. The organization is also known as: Nántōng Dàxué & Nantong University Affiliated Tumor Hospital.
Topics: Cell growth, Cancer, Apoptosis, Cell cycle, Population


Papers
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Journal ArticleDOI
TL;DR: The applications of clustering in some fields like image segmentation, object and character recognition and data mining are highlighted and the approaches used in these methods are discussed with their respective states of art and applicability.

745 citations

Journal ArticleDOI
Derrek P. Hibar1, Jason L. Stein2, Jason L. Stein1, Miguel E. Rentería3  +341 moreInstitutions (93)
09 Apr 2015-Nature
TL;DR: In this paper, the authors conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts.
Abstract: The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 × 10(-33); 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction.

721 citations

Journal ArticleDOI
TL;DR: This Review focuses on emerging targets — such as chemokines, proteases and the WNT pathway — that promote spinal cord neuro inflammation and chronic pain and highlights the anti-inflammatory and pro-resolution lipid mediators that act on immune cells, glial cells and neurons to resolve neuroinflammation, synaptic plasticity and pain.
Abstract: Here, the authors highlight how neuroinflammation in the nervous system is a key driver of chronic pain, and how targeting the key molecules involved in neuroinflammation may offer new therapeutic options for hard-to-treat pain.

706 citations

Journal ArticleDOI
TL;DR: It is demonstrated the evaluation of m6A modification patterns within individual tumors could predict stages of tumor inflammation, subtypes, TME stromal activity, genetic variation, and patient prognosis and play a nonnegligible role in formation of TME diversity and complexity.
Abstract: The epigenetic regulation of immune response has been demonstrated in recent studies. Nonetheless, potential roles of RNA N6-methyladenosine (m6A) modification in tumor microenvironment (TME) cell infiltration remain unknown. We comprehensively evaluated the m6A modification patterns of 1938 gastric cancer samples based on 21 m6A regulators, and systematically correlated these modification patterns with TME cell-infiltrating characteristics. The m6Ascore was constructed to quantify m6A modification patterns of individual tumors using principal component analysis algorithms. Three distinct m6A modification patterns were determined. The TME cell-infiltrating characteristics under these three patterns were highly consistent with the three immune phenotypes of tumors including immune-excluded, immune-inflamed and immune-desert phenotypes. We demonstrated the evaluation of m6A modification patterns within individual tumors could predict stages of tumor inflammation, subtypes, TME stromal activity, genetic variation, and patient prognosis. Low m6Ascore, characterized by increased mutation burden and activation of immunity, indicated an inflamed TME phenotype, with 69.4% 5-year survival. Activation of stroma and lack of effective immune infiltration were observed in the high m6Ascore subtype, indicating a non-inflamed and immune-exclusion TME phenotype, with poorer survival. Low m6Ascore was also linked to increased neoantigen load and enhanced response to anti-PD-1/L1 immunotherapy. Two immunotherapy cohorts confirmed patients with lower m6Ascore demonstrated significant therapeutic advantages and clinical benefits. This work revealed the m6A modification played a nonnegligible role in formation of TME diversity and complexity. Evaluating the m6A modification pattern of individual tumor will contribute to enhancing our cognition of TME infiltration characterization and guiding more effective immunotherapy strategies.

559 citations

Journal ArticleDOI
TL;DR: Different nerve grafts used for peripheral nerve repair are summarized, various basic components of tissue engineered nerve grafting are highlighted in terms of their structures, features, and nerve regeneration-promoting actions, and current clinical applications and future perspectives are discussed.

494 citations


Authors

Showing all 20222 results

NameH-indexPapersCitations
Gang Chen1673372149819
Jie Liu131153168891
Han Zhang13097058863
Yang Liu1292506122380
Chao Zhang127311984711
Jinde Cao117143057881
Chen Dong9335541014
C. Yan Cheng8236119813
Zhongping Chen8174224249
Hua Wang8058047411
Dan Li8040244693
Sheng Chen7168827847
Kwok-Fai So7150919062
Peter W. Baas7018812935
Ying Yu7060222023
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202340
2022180
20212,278
20201,744
20191,426
20181,198