Model: Timofey/PubMedBERT_Cell_Components_Context_Classifier
Author: Timofey
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, bert, text-classification, ANDDigest, ANDSystem, arxiv:2007.15779, endpoints_compatible, region:us
Card metadata: tags: ANDDigest, ANDSystem
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widget: text: Merkel cell carcinoma in lymph nodes with and without primary origin. The prognosis of <andsystem-candidate> with lymph node involvement was better in patients with an unknown than a known primary. Treatment with a uniform aggressive combined chemoradiation regimen, with or without lymphadenectomy, led to better survival rates than previously reported.
example_title: MCC, text: Multiplication of Motor-Driven Microtubules for Nanotechnological Applications. Microtubules gliding on motor-functionalized surfaces have been explored for various nanotechnological applications. However, when moving over large distances (several millimeters) and long tens of minutes, microtubules are lost due to surface detachment. Here, we demonstrate the multiplication of kinesin-1-driven microtubules that comprises two concurrent processes: (i) severing of microtubules by the enzyme spastin and (ii) elongation of microtubules by self-assembly of tubulin dimers at the <andsystem-candidate> ends. We managed to balance the individual processes such that the average length of the microtubules stayed roughly constant over time while their number increased. Moreover, we show microtubule multiplication in physical networks with topographical channel structures. Our method is expected to broaden the toolbox for microtubule-based in vitro applications by counteracting the microtubule loss from substrate surfaces. Among others, this will enable upscaling of network-based biocomputation, where it is vital to increase the number of microtubules during operation.
example_title: microtubule
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Created: 2022-09-14 09:27:58