Introduction

Nolta, Jan A.; Jordan, Craig T.

doi:10.1038/sj.leu.2402254

Cited by 5 publications

(9 citation statements)

References 34 publications

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“…Modeling the tracer properties, we can thus in principle constrain the cosmology. This has been advocated first in [8], studied in details in [34,35] and performed effectively using as a tracer the NVSS sources [9,10,36], HEAO-1X-ray sources [37,38] or APM galaxies [11].…”

Section: Constraints Using Cmb and Large Scale Structure Cross Cormentioning

confidence: 99%

“…jointlly its equation of state and its sound speed. We will use as a data-set the ACF and CCF measurements of [10] performed using the NVSS catalog and the WMAP 1-year maps. For the sake of simplicity we will follow the same notations that we recall brievly.…”

Section: Constraints Using Cmb and Large Scale Structure Cross Cormentioning

confidence: 99%

“…where b r is the linear bias in the matter distribution, N 0 is the mean source count per pixel (147.9 for 1.8deg square pixels used in [10]), and dÑ /dz is the normalised redshift distribution of galaxies, such that (dÑ /dz)dz = 1. For the latter we adopt the model of [39].…”

Section: Constraints Using Cmb and Large Scale Structure Cross Cormentioning

confidence: 99%

“…As was used in section IV, we consider here a family of models lying along the CMB angular diameter degeneracy surface, and move along it by varying simultaneoulsy w and h. For each of these background, we then consider various c 2 s and compute the linear transfer function using a modified version of the CMBfast [40] or CAMB [41] softwares . For a sample of those models, we plotted both the predicted ACF, C N N (θ), from which we infer the bias (figure 6) and the subsequent predicted CCF, C N T (θ) which one can compare with the measurements of [10] ( figure 7). Obviously, even if this signal does indeed have some dependance with regards to the dark energy pertubations parameters, w and c 2 s , most of the effect is absorbed in the bias measurement illustrated in figure 6.…”

Section: = 4πmentioning

confidence: 99%

“…Since this signature is created by the time evolving potential associated with relatively close LSS, it should be intimately correlated with any tracer of LSS [7,8]. A positive detection of such a cross correlation using WMAP data, assuming a cosmological constant as the dark energy, has recently been measured [9,10,11].…”

Section: Introductionmentioning

confidence: 99%

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Probing dark energy perturbations: The dark energy equation of state and speed of sound as measured by WMAP

2004

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Section: Constraints Using Cmb and Large Scale Structure Cross Cormentioning

confidence: 99%

Section: Constraints Using Cmb and Large Scale Structure Cross Cormentioning

confidence: 99%

Section: Constraints Using Cmb and Large Scale Structure Cross Cormentioning

confidence: 99%

Section: = 4πmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Probing dark energy perturbations: The dark energy equation of state and speed of sound as measured by WMAP

2004

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Endothelial precursor cells in the synovial tissue of patients with rheumatoid arthritis and osteoarthritis

Rüger¹,

Giurea²,

Wanivenhaus³

et al. 2004

Arthritis & Rheumatism

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Objective. To find evidence for the presence of endothelial precursor cells, which can induce new vessel formation, in the synovial tissue of patients with rheumatoid arthritis (RA) and osteoarthritis (OA).Methods. Precursor cells in the synovial tissue of 18 RA patients and 15 OA patients were identified by immunohistochemistry, morphometric analysis, and confocal laser scanning microscopy using the following phenotype markers: CD31, CD34, STRO-1, CD133, vascular endothelial growth factor receptor 2 (VEGFR-2), and CXCR4. The presence of CD31, CD34, CD133, VEGFR-2, and CXCR4 messenger RNA in the synovial tissue was determined by reverse transcriptasepolymerase chain reaction, and the message for CXCR4 was quantified by an RNase protection assay.Results. A population of cells that expressed CD34 on their surface but lacked the endothelial cell marker CD31 was found in the synovial tissue of RA and OA patients. CD34؉,CD31؊ cells were detected in close proximity to STRO-1؉ and CD133؉ cells, forming cell clusters in the sublining area of the synovial membrane. Within these cell clusters, CD34؉,CD31؊ precursor cells were located on the inside surrounded by STRO-1؉ cells and with CD133؉ cells on the outside. CD34؉ precursor cells in the cell layer expressed high levels of the chemokine receptor CXCR4, while VEGFR-2 was expressed on CD34؉ and CD133؉ cells, and ␣-smooth muscle actin was expressed on STRO-1؉ cells.Conclusion. The presence of endothelial precursor cells in the synovial tissue of RA and OA patients provides evidence for vasculogenesis induced by precursor cells that arise in situ or from circulating progenitors.

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