Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Xinran Tian"'
Autor:
Yeran Bai, Carolina M. Camargo, Stella M. K. Glasauer, Raymond Gifford, Xinran Tian, Andrew P. Longhini, Kenneth S. Kosik
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Understanding metabolic heterogeneity is the key to uncovering the underlying mechanisms of metabolic-related diseases. Current metabolic imaging studies suffer from limitations including low resolution and specificity, and the model systems
Externí odkaz:
https://doaj.org/article/e4c5b87bba62458f918e515e98492ef2
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1588 (2024)
The imaging of high-speed high-squint synthetic aperture radar (HSHS-SAR), which is mounted on maneuvering platforms with curved trajectory, is a challenging task due to the existence of 3-D acceleration and the azimuth spatial variability of range m
Externí odkaz:
https://doaj.org/article/2e16e73bf7c541c2be266697fc15efe3
Autor:
Xinran Tian
Publikováno v:
Highlights in Science, Engineering and Technology. 36:1474-1480
Spinal muscular atrophy (SMA) is an autosomal recessive genetic disease that affects the alpha motor units and leads to muscular atrophy. The survival motor neuron-1 (SMN1) mutation, which is found on chromosome 5q13, is responsible for the majority
Autor:
Yeran Bai, Stella Glasauer, Carolina M. Camargo, Xinran Tian, Andrew P. Longhini, Kenneth S. Kosik, Craig Prater
Publikováno v:
Advanced Chemical Microscopy for Life Science and Translational Medicine 2023.
Publikováno v:
Advances in Psychological Science. 29:1210-1215
Publikováno v:
British journal of psychology (London, England : 1953)References. 113(1)
In most studies of facial attractiveness perception, judgments are based on the whole face images. Here we investigated how attractiveness judgments from parts of faces compare to perceived attractiveness of the whole face, and to each other. We mani
Publikováno v:
The Journal of Cell Biology
The Journal of cell biology, vol 220, iss 9
The Journal of cell biology, vol 220, iss 9
Extracellular vesicles (EVs) may mediate intercellular communication through the transfer of cargo molecules. Song et al. report that cyclin D1 is sorted into EVs during neuronal differentiation and that these EVs help to promote the neural induction
Extracellular vesicles (EVs) that are thought to mediate the transport of proteins and RNAs involved in intercellular communication. Here, we show dynamic changes in the buoyant density and abundance of extracellular vesicles that are secreted by PC1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a419d5780f65466ba0da46723e178dd
https://doi.org/10.1101/2021.05.09.443321
https://doi.org/10.1101/2021.05.09.443321
Autor:
Xinran Tian, Joel M. Palefsky, Jennifer A. Doudna, Enbo Ma, Janice S. Chen, Lucas B. Harrington, Maria Da Costa
Publikováno v:
Science (New York, N.Y.), vol 360, iss 6387
Chen, Janice S; Ma, Enbo; Harrington, Lucas B; Da Costa, Maria; Tian, Xinran; Palefsky, Joel M; et al.(2018). CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity.. Science (New York, N.Y.), 360(6387), 436-439. doi: 10.1126/science.aar6245. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/0zj5g2th
Chen, Janice S; Ma, Enbo; Harrington, Lucas B; Da Costa, Maria; Tian, Xinran; Palefsky, Joel M; et al.(2018). CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity.. Science (New York, N.Y.), 360(6387), 436-439. doi: 10.1126/science.aar6245. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/0zj5g2th
Taking CRISPR technology further CRISPR techniques are allowing the development of technologies for nucleic acid detection (see the Perspective by Chertow). Taking advantages of the distinctive enzymatic properties of CRISPR enzymes, Gootenberg et al
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 328:431-451
In the case of arbitrary traction on the side faces of an object, a polynomial function of the radial coordinate can be employed to describe the side-face loads using the scaled boundary finite element method (SBFEM). A SBFEM shape function consideri