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Biology subjects

Xin, F.

Publications and source records attributed to Xin, F..

2 recordsLinked to original sources

Oxytocin modulates the intrinsic dynamics between attention-related large scale networks

Attention and salience processing have been linked to the intrinsic between- and within-network dynamics of large scale networks engaged in internal (default mode network, DN) and external attention allocation (dorsal attention, DAN, salience network, SN). The central oxytocin (OXT) system appears ideally organized to modulate widely distributed neural systems and to regulate the switch between internal attention and salient stimuli in the environment. The current randomized placebo (PLC) controlled between-subject pharmacological resting-state fMRI study in N = 187 (OXT, n = 94; n = 93; single-dose intranasal administration) healthy male and female participants employed an independent component analysis (ICA) approach to determine the modulatory effects of OXT on the within- and between-network dynamics of the DAN-SN-DN triple network system. OXT increased the functional integration between subsystems within SN and DN and increased functional segregation of the DN with the SN and DAN engaged in attentional control. Whereas no sex differences were observed, OXT effects on the DN-SN interaction were modulated by autism traits. Together, the findings suggest that OXT may facilitate efficient attentional allocation towards social cues by modulating the intrinsic functional dynamics between DN components engaged in social processing and large-scale networks involved in external attentional demands (SN, DAN).

neuroscience

Mutation Vulnerability Characterizes Human Cancer Genes

Recent studies by Tomasetti et al. revealed that the risk disparity among different types of cancer is mainly determined by inherent patterns in DNA replication errors rather than environmental factors. In this study we reveal that inherent patterns of DNA mutations plays a similar role in cancer at the molecular level. Cancer results from stochastic DNA mutations, yet non-random patterns of cancer mutations emerge when we look across hundreds of cancer genomes. Over 500 cancer genes have been identified to date as the hot spot genes of cancer mutations. It is generally believed that these gene are mutated more frequently because they reside in functionally important pathways and are hence selected during the somatic evolution process of tumor progression. This theory however does not explain why many genes in the same pathways of cancer genes are not mutated in cancer. In this study, we challenge this view by showing that the inherent patterns of spontaneous mutations of human genes not only distinguish cancer causing genes and non-cancer genes but also shapes the mutation profile of cancer genes at the sub-gene level.

bioinformatics