Mobility and Trajectory-Based Technique for Monitoring Asymptomatic Patients

Asymptomatic patients (AP) travel through neighborhoods in communities. The mobility dynamics of the AP makes it hard to tag them with specific interests. The lack of efficient monitoring systems can enable the AP to infect several vulnerable people in the communities. This article studied the monitoring of AP through their mobility and trajectory towards reducing the stress of socio-economic complications in the case of pandemics. Mobility and Trajectory based Technique for Monitoring Asymptomatic Patients (MTT-MAP) was established. The time-ordered spatial and temporal trajectory records of the AP were captured through their activities. A grid-based index data structure was designed based on network topology, graph theory and trajectory analysis to cater for the continuous monitoring of the AP over time. Also, concurrent object localisation and recognition, branch and bound, and multi-object instance strategies were adopted. The MTT-MAP has shown efficient when experimented with GeoLife dataset and can be integrated with state-of-the-art patients monitoring systems.

MultiMAP: dimensionality reduction and integration of multimodal data

Multimodal data is rapidly growing in many fields of science and engineering, including single-cell biology. We introduce MultiMAP, a novel algorithm for dimensionality reduction and integration. MultiMAP can integrate any number of datasets, leverages features not present in all datasets, is not restricted to a linear mapping, allows the user to specify the influence of each dataset, and is extremely scalable to large datasets. We apply MultiMAP to single-cell transcriptomics, chromatin accessibility, methylation, and spatial data and show that it outperforms current approaches. On a new thymus dataset, we use MultiMAP to integrate cells along a temporal trajectory. This enables quantitative comparison of transcription factor expression and binding site accessibility over the course of T cell differentiation, revealing patterns of expression versus binding site opening kinetics.

Sirtuins and Neuropeptide y downregulation in Flinders Sensitive Line Rat Model of Depression

Objective: Since the NAD+-dependent histone deacetylases sirtuin-1 (SIRT1) and sirtuin-2 (SIRT2) are critically involved in epigenetics, endocrinology and immunology and affect the longevity in model organisms, we investigated their expression in brains of 3 month old and 14-15 month old rat model of depression Flinders Sensitive Line (FSL) and control Flinders Resistant Line (FRL) rats. In view of the dysregulated NPY system in depression we also studied NPY in young and old FSL to explore the temporal trajectory of depressive-like-ageing interaction. Methods: Sirt1, Sirt2 and Npy mRNA were determined using qRT-PCR in prefrontal cortex (PFC) from young and old FSL and FRL, and in hippocampi from young FSL and FRL. Results: PFC. Sirt1 expression was decreased in FSL (p=0.001). An interaction between age and genotype was found (p=0.032); young FSL had lower Sirt1 with respect to both age (p=0.026) and genotype (p=0.001). Sirt2 was lower in FSL (p=0.003). Npy mRNA was downregulated in FSL (p=0.001) but did not differ between the young and old rat groups. Hippocampus.Sirt1 was reduced in young FSL compared to young FRL (p=0.005). There was no difference in Sirt2 between FSL and FRL. Npy levels were decreased in hippocampus of young FSL compared to young FRL (p=0.003). Effects of ageing could not be investigated due to loss of samples. Conclusions: i. This is the first demonstration that SIRT1 and SIRT2 are changed in brain of FSL, a rat model of depression ; ii. The changes are age dependent; iii. Sirtuins are potential targets for treatment of age-related neurodegenerative diseases.

Single-cell genomics reveals region-specific developmental trajectories underlying neuronal diversity in the prenatal human hypothalamus

The hypothalamus is critically important for regulating most autonomic, metabolic, and behavioral functions essential for life and species propagation, yet a comprehensive understanding of neuronal subtypes and their development in the human brain is lacking. Here, we characterized the prenatal human hypothalamus by sequencing the transcriptomes of 45,574 single-cells from 12 embryos, spanning gestational weeks 4 through 25. These cells describe a temporal trajectory from proliferative stem cell populations to maturing neurons and glia, including 38 distinct excitatory and inhibitory neuronal subtypes. Merging these data with paired samples from the cortex and ganglionic eminences (GE) revealed two distinct neurogenesis pathways, one shared between GE and hypothalamus and a second unique to cortex. Gene regulatory network modeling predicted that these distinct maturation trajectories involve the activation of region- and cell type-specific transcription factor networks. These results provide the first comprehensive transcriptomic view of human hypothalamus development at cellular resolution.