The osteogenic commitment of CD271+CD56+ bone marrow stromal cells (BMSCs) in osteoarthritic femoral head bone
Published: 07 July 2020
Abstract
Osteoarthritis
(OA), the most common joint disorder, is characterised by progressive
structural changes in both the cartilage and the underlying subchondral
bone. In late disease stages, subchondral bone sclerosis has been linked
to heightened osteogenic commitment of bone marrow stromal cells
(BMSCs). This study utilised cell sorting and immunohistochemistry to
identify a phenotypically-distinct, osteogenically-committed BMSC subset
in human OA trabecular bone. Femoral head trabecular bone tissue
digests were sorted into CD45-CD271+CD56+CD146-, CD45-CD271+CD56-CD146+
and CD45-CD271+CD56-CD146-(termed double-negative, DN) subsets, and
CD45+CD271-hematopoietic-lineage cells served as control. Compared to
the CD146+ subset, the CD56+ subset possessed a lower-level expression
of adipocyte-associated genes and significantly over 100-fold
higher-level expression of many osteoblast-related genes including
osteopontin and osteocalcin, whilst the DN subset presented a
transcriptionally ‘intermediate’ BMSC population. All subsets were
tri-potential following culture-expansion and were present in control
non-OA trabecular bone. However, while in non-OA bone CD56+ cells only
localised on the bone surface, in OA bone they were additionally present
in the areas of new bone formation rich in osteoblasts and
newly-embedded osteocytes. In summary, this study reveals a distinct
osteogenically-committed CD271+CD56+ BMSC subset and implicates it in
subchondral bone sclerosis in hip OA. CD271+CD56+ subset may represent a
future therapeutic target for OA and other bone-associated pathologies.
Methods (urval)
After automatic calibration of the background and microscope objective, one field of each sample was focused on by the digital autofocus feature. The cells were then imaged with photo captures every 30 min for 24 h. For the evaluation, at each time-lapse sequence, 25 cells were identified and selected by minimum error histogram-based threshold algorithm of the software (HoloStudio M4 version 2.6.2 available at https://phiab.com/product/holomonitor-app-suite-software). By tracking the cells, the motility of each subset was automatically analysed over time, as previously described66. Genes’ selections were based on our previous studies66,67,68 as well as other studies69.
Min kommentar
Värt att notera är 2 detaljer. I methods ser vi att PHI`s nya kompis,amerikanska NIH,har haft en fot inne i denna studie. Detalj nr 2 är att forskarna är ytterst generösa mot PHI då de bifogar en länk i rapporten direkt till Bolaget. Mycket gentilt agerat då andra forskare som kommer läsa denna rapport får en direktväg in till instrumentet och dess mjukvaror. VD Egelberg bör bjuda dessa forskare på varsin pint nästa gång han är i England.
Den här studien är en riktigt god karamell att suga på.
Men...det finns 1 forskningsrapport till som offentliggjorts idag. Den kommer ni få läsa om i morgon, för nån måtta på sötsakerna för en dag får det vara. 😎
Mvh the99
Methods (urval)
Cell motility and differentiation assays
Following cell sorting, the BMSC subsets were placed in culture in StemMACS media for subsequent expansion and in vitro functional assays. For morphological assessment, images of individual cells from each subset were taken at 24 h after sorting and cell circularity was calculated using ImageJ software (version 1.8.0_172 National Institutes of Health, USA available at https://imagej.nih.gov/ij/) using the formula for circularity (4π(area/perimeter2) where 0 represented a straight line and 1 represented a perfect circle36. Separate experiments were then performed for cell motility analysis. For this, freshly-sorted BMSC subsets from N = 4 OA donors were seeded in a 24 well Ibidi culture plates (Ibidi, Germany) at the seeding density of 1 × 104 cells/cm2 in 2 ml of StemMACS media and allowed to expand over one week. The cell attachment, spreading and movement were then tracked using Holomonitor M4 microscope (Phase Holographic Imaging AB, Sweden).After automatic calibration of the background and microscope objective, one field of each sample was focused on by the digital autofocus feature. The cells were then imaged with photo captures every 30 min for 24 h. For the evaluation, at each time-lapse sequence, 25 cells were identified and selected by minimum error histogram-based threshold algorithm of the software (HoloStudio M4 version 2.6.2 available at https://phiab.com/product/holomonitor-app-suite-software). By tracking the cells, the motility of each subset was automatically analysed over time, as previously described66. Genes’ selections were based on our previous studies66,67,68 as well as other studies69.
Min kommentar
Värt att notera är 2 detaljer. I methods ser vi att PHI`s nya kompis,amerikanska NIH,har haft en fot inne i denna studie. Detalj nr 2 är att forskarna är ytterst generösa mot PHI då de bifogar en länk i rapporten direkt till Bolaget. Mycket gentilt agerat då andra forskare som kommer läsa denna rapport får en direktväg in till instrumentet och dess mjukvaror. VD Egelberg bör bjuda dessa forskare på varsin pint nästa gång han är i England.
Den här studien är en riktigt god karamell att suga på.
Men...det finns 1 forskningsrapport till som offentliggjorts idag. Den kommer ni få läsa om i morgon, för nån måtta på sötsakerna för en dag får det vara. 😎
Mvh the99
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