Genetic variants in the granulin (GRN) gene have been shown to increase the risk of Alzheimer's disease (AD). Here, we report that the A allele of rs5848 in GRN reduces plasma granulin levels in a dose-dependent manner in a clinically-defined AD sample cohort. Similarly, the mRNA levels of granulin were decreased with respect to A allele of rs5848 in the inferior temporal cortex of neuropatholo...

Gene regulatory networks (GRNs), when solved, provide immediate and predictive access to the specific functional termini at which genomic sequence determines the logic of the organismal regulatory system. GRN topology explains the fundamental processes of development (1), including dynamics (2), major evolutionary transitions (3), many aspects of physiological function, and normal and diseased ...

Gene regulatory network (GRN)-based morphogenetic systems have recently attracted an increasing attention in artificial life and morphogenetic engineering research. However, the relationship between microscopic properties of intracellular GRNs and collective properties of morphogenetic systems has not been fully explored yet. Thus, we propose a new GRN-based framework to elucidate how critical ...

Gene regulatory network (GRN) reconstruction is essential in understanding the functioning and pathology of a biological system. Extensive models and algorithms have been developed to unravel a GRN. The DREAM project aims to clarify both advantages and disadvantages of these methods from an application viewpoint. An interesting yet surprising observation is that compared with complicated method...

Inferring the gene regulatory network (GRN) is crucial to understanding the working of the cell. Many computational methods attempt to infer the GRN from time series expression data, instead of through expensive and time-consuming experiments. However, existing methods make the convenient but unrealistic assumption of causal sufficiency, i.e. all the relevant factors in the causal network have ...

Progranulin (PGRN) is a secreted glycoprotein with multiple biological functions in early embryogenesis, anti-inflammation, and neurodegeneration. A good model for the functional study of PGRN zebrafish knockdown or knockout grn, gene encoding PGRN. Morpholino oligonucleotides (MOs) zinc finger nucleases have been used to generate grn models, yet they shown inconsistent phenotypes due either ne...

In Systems Biology, the complex relationships between different entities in cells are modeled and analyzed using networks. Towards this aim, a rich variety of gene regulatory network (GRN) inference algorithms has been developed recent years. However, most rely solely on expression data to reconstruct network. Due possible profile similarity, predictions can contain connections biologically unr...

BACKGROUND We explored the diagnostic performance of cerebrospinal fluid (CSF) biomarkers in allowing differentiation between frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD), as well as between FTLD pathological subtypes. METHODS CSF levels of routine AD biomarkers (phosphorylated tau (p-tau181), total tau (t-tau), and amyloid-beta (Aβ)1-42) and neurofilament proteins, a...

Reconstructing the causal network in a complex dynamical system plays a crucial role in many applications, from sub-cellular biology to economic systems. Here we focus on inferring gene regulation networks (GRNs) from perturbation or gene deletion experiments. Despite their scientific merit, such perturbation experiments are not often used for such inference due to their costly experimental pro...

BACKGROUND Frontotemporal dementia (FTD) is a heterogeneous neurodegenerative disorder with a strong genetic component. The cerebellum has not traditionally been felt to be involved in FTD but recent research has suggested a potential role. METHODS We investigated the volumetry of the cerebellum and its subregions in a cohort of 44 patients with genetic FTD (20 MAPT, 7 GRN, and 17 C9orf72 mut...