30 research outputs found
Distribution of Hyperpolarized Xenon in the Brain Following Sensory Stimulation: Preliminary MRI Findings
In hyperpolarized xenon magnetic resonance imaging (HP 129Xe MRI), the inhaled spin-1/2 isotope of xenon gas is used to generate the MR signal. Because hyperpolarized xenon is an MR signal source with properties very different from those generated from water-protons, HP 129Xe MRI may yield structural and functional information not detectable by conventional proton-based MRI methods. Here we demonstrate the differential distribution of HP 129Xe in the cerebral cortex of the rat following a pain stimulus evoked in the animal's forepaw. Areas of higher HP 129Xe signal corresponded to those areas previously demonstrated by conventional functional MRI (fMRI) methods as being activated by a forepaw pain stimulus. The percent increase in HP 129Xe signal over baseline was 13–28%, and was detectable with a single set of pre and post stimulus images. Recent innovations in the production of highly polarized 129Xe should make feasible the emergence of HP 129Xe MRI as a viable adjunct method to conventional MRI for the study of brain function and disease
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
The role of mobile cameras increased dramatically over the past few years,
leading to more and more research in automatic image quality enhancement and
RAW photo processing. In this Mobile AI challenge, the target was to develop an
efficient end-to-end AI-based image signal processing (ISP) pipeline replacing
the standard mobile ISPs that can run on modern smartphone GPUs using
TensorFlow Lite. The participants were provided with a large-scale Fujifilm
UltraISP dataset consisting of thousands of paired photos captured with a
normal mobile camera sensor and a professional 102MP medium-format FujiFilm
GFX100 camera. The runtime of the resulting models was evaluated on the
Snapdragon's 8 Gen 1 GPU that provides excellent acceleration results for the
majority of common deep learning ops. The proposed solutions are compatible
with all recent mobile GPUs, being able to process Full HD photos in less than
20-50 milliseconds while achieving high fidelity results. A detailed
description of all models developed in this challenge is provided in this
paper
siRNA Off-Target Effects Can Be Reduced at Concentrations That Match Their Individual Potency
Small interfering RNAs (siRNAs) are routinely used to reduce mRNA levels for a specific gene with the goal of studying its function. Several studies have demonstrated that siRNAs are not always specific and can have many off-target effects. The 3′ UTRs of off-target mRNAs are often enriched in sequences that are complementary to the seed-region of the siRNA. We demonstrate that siRNA off-targets can be significantly reduced when cells are treated with a dose of siRNA that is relatively low (e.g. 1 nM), but sufficient to effectively silence the intended target. The reduction in off-targets was demonstrated for both modified and unmodified siRNAs that targeted either STAT3 or hexokinase II. Low concentrations reduced silencing of transcripts with complementarity to the seed region of the siRNA. Similarly, off-targets that were not complementary to the siRNA were reduced at lower doses, including up-regulated genes that are involved in immune response. Importantly, the unintended induction of caspase activity following treatment with a siRNA that targeted hexokinase II was also shown to be a concentration-dependent off-target effect. We conclude that off-targets and their related phenotypic effects can be reduced for certain siRNA that potently silence their intended target at low concentrations
The unique electrical properties in an extracellular fluid of the mammalian cochlea; their functional roles, homeostatic processes, and pathological significance
Pan-cancer analysis of whole genomes
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe
Dynamics of Newly Formed Humic Acid and Fulvic Acid in Aggregates After Addition of the 14C-Labelled Wheat Straw in a Typic Hapludoll of Northeast China
Evidence that protein kinase-A, calcium-calmodulin kinase and cytoskeletal proteins are involved in osteoclast retraction induced by calcitonin
Calcitonin is a direct inhibitor of osteoclastic activity. Osteoclast retraction is readily induced by calcitonin and it is possible that calcitonin-induced inhibition of bone resorption is in part due to this effect. However, little is known of the mechanisms of this action. In these studies, we have investigated the intracellular signalling pathway of calcitonin-induced osteoclast retraction using cultures of freshly isolated rat osteoclasts. The spread area occupied by single Giemsa-stained rat osteoclasts was measured in vitro by a computer imaging analysis system and used as a quantitative parameter for calculating the degree of osteoclast retraction in response to various agents. Our results show that cAMP may be an important second messenger in the reaction of osteoclasts to calcitonin. Moreover, both protein kinase-A and calcium/calmodulin-dependent protein kinase are involved in the osteoclast retraction induced by this hormone, while cytoskeletal proteins are required for the process to occur
Deterministic Multimodal Perturbation Enables Neuromorphic-Compatible Signal Multiplexing
Deterministic Multimodal Perturbation Enables Neuromorphic-Compatible Signal Multiplexing
Human
multisensory neurons integrate multiple sensory information
obtained from the external environment for precise interpretation
of an event. Inspired by biological multisensory integration/multiplexing
behavior, an artificial multimodal integration system capable of emulating
the perception of discomfort based on the integration of multiple
sensory signals is presented. The system utilizes a sensory ring oscillator
that concisely and efficiently integrates thermosensory and hygrosensory
signals from artificial receptors into voltage pulses whose amplitude
and frequency reflect the two individual sensory signals. Subsequently,
a synaptic transistor translates voltage pulses into a postsynaptic
current, which exhibits a high correlation with the calculated humidex.
Finally, the feasibility of the artificial multimodal integration
system is successfully demonstrated using light-emitting diode discomfort
indicators, suggesting that the proposed system can act as a foundation
for future studies pertaining to neuromorphic perception and complex
neurorobotics
