Erythropoietin (EPO) has been demonstrated the ability of recombinant human erythropoietin (r-Hu-EPO), when administered intracerebro-ventricularly, to improve stroke outcome through the reduction of stroke damage. In a brain ischemic model, however, systemic administration of r-Hu-EPO has not been intensely investigated given that in general, large glycosylated molecules have been deemed incapable of crossing the blood-brain barrier. In this study, administration of r-Hu-EPO for 4 days, intraperitoneally after ischemia-reperfusion (I-R) increased the number of bromodeoxyuridine (BrdU)-positive cells in the penumbra (10.1±1.4, n=5, P<0.05) and in the subventricular zone (SVZ) of the lateral ventricle (LV) (25±2.7, n=5, P<0.05) as compared with those of I-R (penumbra: 2.5±0.7; SVZ of LV: 3.8±1.5). A significant increase of BrdU-positive cells in these areas was coincident with a strong immunoreactivity of oligodendrocyte progenitor cell marker (2', 3'-cyclic nucleotide 3'-phosphodiesterase). Furthermore, r-Hu-EPO administration increased the number of BrdU-positive cells in the choroid plexus (7.8±2.3, n=5, P<0.05) and in cerebral blood vessels (3.5±1.3, n=5, P<0.05) when compared with those of I-R (choroid plexus: 1.2±0.5; cerebral blood vessels: 0.6±0.1). These results suggest that, even when systemically administered, r-Hu-EPO may have therapeutic potential for stroke via the proliferation of oligodendroglial and endothelial progenitor cells.
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http://dx.doi.org/10.5115/acb.2010.43.2.140 | DOI Listing |
Science
January 2025
Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.
Large genome rearrangements in mammalian cells can be generated at scale.
View Article and Find Full Text PDFWe lack tools to edit DNA sequences at scales necessary to study 99% of the human genome that is noncoding. To address this gap, we applied CRISPR prime editing to insert recombination handles into repetitive sequences, up to 1697 per cell line, which enables generating large-scale deletions, inversions, translocations, and circular DNA. Recombinase induction produced more than 100 stochastic megabase-sized rearrangements in each cell.
View Article and Find Full Text PDFScience
January 2025
Shobita Parthasarathy is a professor of public policy and director of the Science, Technology, and Public Policy program at the Gerald R. Ford School of Public Policy, University of Michigan, Ann Arbor, MI, USA.
To many in the scientific community, the 1975 Asilomar Conference on Recombinant DNA stands as a singular achievement. This experiment in governance seemed to demonstrate that citizens could trust scientists to anticipate their fields' risks and propose sensible ways to regulate themselves. Over the past half-century, similar efforts have been made to govern controversial areas of research, from geoengineering to artificial intelligence.
View Article and Find Full Text PDFPLoS One
January 2025
DIADE, IRD, Cirad, University of Montpellier, Montpellier, France.
Motivation: Genotyping of bi-parental populations can be performed with low-coverage next-generation sequencing (LC-NGS). This allows the creation of highly saturated genetic maps at reasonable cost, precisely localized recombination breakpoints (i.e.
View Article and Find Full Text PDFG3 (Bethesda)
January 2025
School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, AZ 85281, USA.
The demographic history of a population, and the distribution of fitness effects (DFE) of newly arising mutations in functional genomic regions, are fundamental factors dictating both genetic variation and evolutionary trajectories. Although both demographic and DFE inference has been performed extensively in humans, these approaches have generally either been limited to simple demographic models involving a single population, or, where a complex population history has been inferred, without accounting for the potentially confounding effects of selection at linked sites. Taking advantage of the coding-sparse nature of the genome, we propose a 2-step approach in which coalescent simulations are first used to infer a complex multi-population demographic model, utilizing large non-functional regions that are likely free from the effects of background selection.
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