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TL;DR: In this paper, microRNAs (miRs) contained in exosomes derived from bone marrow mesenchymal stromal cells (MSCs) were identified as potential targets of leukemogenesis.
Abstract: Gene regulatory networks in AML may be influenced by microRNAs (miRs) contained in exosomes derived from bone marrow mesenchymal stromal cells (MSCs). We sequenced miRs from exosomes isolated from marrow-derived MSCs from patients with AML (n = 3) and from healthy controls (n = 3; not age-matched). Known targets of mIRs that were significantly different in AML-derived MSC exosomes compared to controls were identified. Of the five candidate miRs identified by differential packaging in exosomes, only miR-26a-5p and miR-101-3p were significantly increased in AML-derived samples while miR-23b-5p, miR-339-3p and miR-425-5p were significantly decreased. Validation of the predicted change in gene expression of the potential targets was investigated by interrogating gene expression levels from public datasets of marrow-derived CD34-selected cells from patients with AML (n = 69) and healthy donors (n = 40). Two molecules with decreased gene expression in AML (EZH2 and GSK3β) were predicted by the miR profiling and have been previously implicated in AML while three molecules were increased in AML-derived cells and have not been previously associated with leukemogenesis (KRBA2, RRBP1 and HIST2H 2BE). In summary, profiling miRs in exosomes from AML-derived MSCs allowed us to identify candidate miRs with potential relevance in AML that could yield new insights regarding leukemogenesis or new treatment strategies.
55 citations
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TL;DR: A microbial biofilm consortium enriched from Shield surface water is able to mediate geochemical cycling of iron within a biofilm as discussed by the authors, which can be leached from Fe(II) containing minerals such as magnetite, biotite and ilmenite to generate a colloidal Fe(III) suspension.
55 citations
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55 citations
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TL;DR: In this article, the relationship between visually estimated tree defoliation and spectral features was linear for trees with >20% defoliations, and curvilinear if the entire defoliation range from healthy to dead trees was considered.
55 citations
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07 Nov 2017-Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
TL;DR: In this paper, the authors used Neutron diffraction to profile the residual stresses in the samples before and after removal of the build plate and support structures, and quantified the distortion level of the parts using a coordinate measuring machine (CMM).
Abstract: Disk-shaped 316L stainless steel parts with various diameters and heights were additively manufactured using a direct metal laser sintering (DMLS) technique. Neutron diffraction was used to profile the residual stresses in the samples before and after removal of the build plate and support structures. Moreover, distortion level of the parts before and after the removal was quantified using a coordinate measuring machine (CMM). Large tensile in-plane stresses (up to ≈ 400 MPa) were measured near the as-built disk top surfaces, where the stress magnitude decreased from the disk center to the edges. The stress gradient was steeper for the disks with smaller diameters and heights. Following the removal of the build plate and support structures, the magnitude of the in-plane residual stresses decreased dramatically (up to 330 MPa) whereas the axial stress magnitude did not change significantly. The stress relaxation caused the disks to distort, where the distortion metric was higher for the disks with smaller diameters and heights. The distribution of the residual stresses revealed a marked breakdown of self-similarity in their distribution even comparing disk-shaped samples that were fabricated under identical printing parameters; the stress field profiles were not linearly scaled as a function of height and diameter.
55 citations
Authors
Showing all 2298 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael D. Guiver | 78 | 288 | 20540 |
Robert J. Birgeneau | 78 | 587 | 22686 |
Mike D. Flannigan | 71 | 211 | 21327 |
Martin T. Dove | 61 | 396 | 14767 |
Luis Rodrigo | 58 | 341 | 12963 |
André Longtin | 56 | 260 | 16372 |
David Mitlin | 56 | 196 | 15479 |
John Katsaras | 55 | 220 | 9263 |
John E. Greedan | 55 | 391 | 12171 |
Gang Li | 48 | 406 | 7713 |
Matthew G. Tucker | 45 | 224 | 7288 |
Bruce D. Gaulin | 45 | 284 | 6698 |
Erick J. Dufourc | 43 | 144 | 5882 |
Norbert Kučerka | 43 | 119 | 7319 |
Stephen J. Skinner | 42 | 194 | 8522 |