The authors suggest a method for hemopoietic tissue cell fractionation into populations enriched for various hemopoietic elements. Centrifugation in a three-layer density gradient of mixtures of ficoll and verografin (d1 = 1.03 g/cm3, d2 = 1.09 g/cm3, d3 = 1.1 g/cm3) resulted in three fractions. The first contained lymphoid cells, the second erythroid cells (89.1 +/- 7.3%), and the third consisted of white blood cells (78.5 +/- 6.3%).

Download full-text PDF

Source

Publication Analysis

Top Keywords

density gradient
8
method fractionating
4
fractionating bone
4
bone marrow
4
cells
4
marrow cells
4
cells density
4
gradient mixture
4
mixture ficoll
4
ficoll verografin]
4

Similar Publications

HIV-1 assembly is initiated by the binding of Gag polyproteins to the inner leaflet of the plasma membrane, mediated by the myristylated matrix (MA) domain of Gag. Subsequent to membrane binding, Gag oligomerizes and buds as an immature, non-infectious virus particle, which, upon cleavage of the Gag precursor by the viral protease, transforms into a mature, infectious virion. During maturation, the MA lattice underlying the viral membrane undergoes a structural rearrangement and the newly released capsid (CA) protein forms a mature capsid that encloses the viral genome.

View Article and Find Full Text PDF

1D moisture-enabled electric generators (MEGs) hold great promise for powering electronic textiles, but their current limitations in power output and operational duration restrict their application in wearable technology. This study introduces a high-performance yarn-based moisture-enabled electric generator (YMEG), which comprises a carbon-fiber core, a cotton yarn active layer with a radial gradient of poly(4-styrensulfonic acid) and poly(vinyl alcohol) (PSSA/PVA), and an aluminum wire as the outer electrode. The unique design maintains a persistent moisture gradient between the interior and exterior electrodes, enhancing performance through the continuous proton diffusion from PSSA and Al⁺ ions from the aluminum wire.

View Article and Find Full Text PDF

Aboveground biomass estimation in a grassland ecosystem using Sentinel-2 satellite imagery and machine learning algorithms.

Environ Monit Assess

January 2025

School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, 2000, South Africa.

The grassland ecosystem forms a critical part of the natural ecosystem, covering up to 15-26% of the Earth's land surface. Grassland significantly impacts the carbon cycle and climate regulation by storing carbon dioxide. The organic matter found in grassland biomass, which acts as a carbon source, greatly expands the carbon stock in terrestrial ecosystems.

View Article and Find Full Text PDF

Self-supervised learning (SSL) has gained attention in the medical field as a deep learning approach utilizing unlabeled data. The Jigsaw puzzle task in SSL enables models to learn both features of images and the positional relationships within images. In breast cancer diagnosis, radiologists evaluate not only lesion-specific features but also the surrounding breast structures.

View Article and Find Full Text PDF

Context: Exploration for renewable and environmentally friendly energy sources has become a major challenge to overcome the depletion of fossil fuels and their environmental hazards. Therefore, solar cell technology, as an alternative solution, has attracted the interest of many researchers. In the present work, the CsXInBr (X = Cu or Ag) compounds as lead-free halide perovskites have been studied due to their direct energy gap in the range of solar energy, thermodynamic stability, low effective mass of electrons, and high absorption coefficient.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!