排序方式: 共有64条查询结果,搜索用时 46 毫秒
1.
A frequent goal of flow cytometric analysis is to classify cells as positive or negative for a given marker, or to determine the precise ratio of positive to negative cells. This requires good and reproducible instrument setup, and careful use of controls for analyzing and interpreting the data. The type of controls to include in various kinds of flow cytometry experiments is a matter of some debate and discussion. In this tutorial, we classify controls in various categories, describe the options within each category, and discuss the merits of each option. 相似文献
2.
H T Maecker D M Jokinen R I Fisher 《Journal of immunology (Baltimore, Md. : 1950)》1992,149(5):1619-1625
The human T acute lymphocytic leukemia cell line, SUP-T13, is a mosaic of TCR/CD3+ and TCR/CD3- cells. Individual SUP-T13 cells can spontaneously switch on and off surface TCR/CD3 expression. This switching was demonstrated by culturing and analysis of single cell clones that were TCR/CD3+ or TCR/CD3-. The rate of switching is about 10(-2)/cell per generation in either direction. This is too high to be due to a spontaneous mutation event. Furthermore, switched cells can revert at similar rates, as demonstrated by repeated cloning and reanalysis. This makes it likely that a regulatory change is responsible for switching. In support of this, all known TCR/CD3 proteins are found intracellularly in TCR/CD3- cells, and they associate with each other as in TCR/CD3+ cells. Furthermore, no structural abnormalities of the TCR/CD3 chains can be seen in TCR/CD3- cells using two-dimensional electrophoresis. However, in these cells, the chains accumulate in great excess intracellularly. This accumulation is specific to the TCR/CD3 complex, as other glycoproteins are still expressed normally on the cell surface. Thus, there is regulation of TCR expression at a posttranslational level. These TCR/CD3- cells may lead to the identification of novel protein(s) involved in glycosylating, processing, or transporting the TCR/CD3 complex. Potential loss of TCR/CD3 expression may also limit the feasibility of TCR-based therapies for T cell leukemias. 相似文献
3.
J?Craig CohenEmail author Lennart?KA?Lundblad Jason?HT?Bates Michael?Levitzky Janet?E?Larson 《BMC genetics》2004,5(1):21
Background
Cystic Fibrosis is a pleiotropic disease in humans with primary morbidity and mortality associated with a lung disease phenotype. However, knockout in the mouse of cftr, the gene whose mutant alleles are responsible for cystic fibrosis, has previously failed to produce a readily, quantifiable lung phenotype. 相似文献4.
Background
We developed a new version of the open source software package Peptrix that can yet compare large numbers of Orbitrap? LC-MS data. The peptide profiling results for Peptrix on MS1 spectra were compared with those obtained from a small selection of open source and commercial software packages: msInspect, Sieve? and Progenesis?. The properties compared in these packages were speed, total number of detected masses, redundancy of masses, reproducibility in numbers and CV of intensity, overlap of masses, and differences in peptide peak intensities. Reproducibility measurements were taken for the different MS1 software applications by measuring in triplicate a complex peptide mixture of immunoglobulin on the Orbitrap? mass spectrometer. Values of peptide masses detected from the high intensity peaks of the MS1 spectra by peptide profiling were verified with values of the MS2 fragmented and sequenced masses that resulted in protein identifications with a significant score.Findings
Peptrix finds about the same number of peptide features as the other packages, but peptide masses are in some cases approximately 5 to 10 times less redundant present in the peptide profile matrix. The Peptrix profile matrix displays the largest overlap when comparing the number of masses in a pair between two software applications. The overlap of peptide masses between software packages of low intensity peaks in the spectra is remarkably low with about 50% of the detected masses in the individual packages. Peptrix does not differ from the other packages in detecting 96% of the masses that relate to highly abundant sequenced proteins. MS1 peak intensities vary between the applications in a non linear way as they are not processed using the same method.Conclusions
Peptrix is capable of peptide profiling using Orbitrap? files and finding differential expressed peptides in body fluid and tissue samples. The number of peptide masses detected in Orbitrap? files can be increased by using more MS1 peptide profiling applications, including Peptrix, since it appears from the comparison of Peptrix with the other applications that all software packages have likely a high false negative rate of low intensity peptide peaks (missing peptides). 相似文献5.
In recent years, the rapid analysis of single cells has commonly been performed using flow cytometry and fluorescently-labeled antibodies. However, the issue of spectral overlap of fluorophore emissions has limited the number of simultaneous probes. In contrast, the new CyTOF mass cytometer by DVS Sciences couples a liquid single-cell introduction system to an ICP-MS.1 Rather than fluorophores, chelating polymers containing highly-enriched metal isotopes are coupled to antibodies or other specific probes.2-5 Because of the metal purity and mass resolution of the mass cytometer, there is no "spectral overlap" from neighboring isotopes, and therefore no need for compensation matrices. Additionally, due to the use of lanthanide metals, there is no biological background and therefore no equivalent of autofluorescence. With a mass window spanning atomic mass 103-203, theoretically up to 100 labels could be distinguished simultaneously. Currently, more than 35 channels are available using the chelating reagents available from DVS Sciences, allowing unprecedented dissection of the immunological profile of samples.6-7Disadvantages to mass cytometry include the strict requirement for a separate metal isotope per probe (no equivalent of forward or side scatter), and the fact that it is a destructive technique (no possibility of sorting recovery). The current configuration of the mass cytometer also has a cell transmission rate of only ~25%, thus requiring a higher input number of cells.Optimal daily performance of the mass cytometer requires several steps. The basic goal of the optimization is to maximize the measured signal intensity of the desired metal isotopes (M) while minimizing the formation of oxides (M+16) that will decrease the M signal intensity and interfere with any desired signal at M+16. The first step is to warm up the machine so a hot, stable ICP plasma has been established. Second, the settings for current and make-up gas flow rate must be optimized on a daily basis. During sample collection, the maximum cell event rate is limited by detector efficiency and processing speed to 1000 cells/sec. However, depending on the sample quality, a slower cell event rate (300-500 cells/sec) is usually desirable to allow better resolution between cells events and thus maximize intact singlets over doublets and debris. Finally, adequate cleaning of the machine at the end of the day helps minimize background signal due to free metal. 相似文献
6.
Mette Christoffersen Elizabeth Woodward Anders M Bojesen Stine Jacobsen Morten R Petersen Mats HT Troedsson Henrik Lehn-Jensen 《BMC veterinary research》2012,8(1):1-14
Background
Canine hemangiosarcoma (HSA) is a malignant tumor with poor long-term prognosis due to development of metastasis despite aggressive treatment. The phosphatidyl-inositol-3 kinase/Akt/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway is involved in its endothelial pathologies; however, it remains unknown how this pathway plays a role in canine HSA. Here, we characterized new canine HSA cell lines derived from nude mice-xenografted canine HSAs and investigated the deregulation of the signaling pathways in these cell lines.Results
Seven canine HSA cell lines were established from 3 xenograft canine HSAs and showed characteristics of endothelial cells (ECs), that is, uptake of acetylated low-density lipoprotein and expression of canine-specific CD31 mRNA. They showed varied morphologies and mRNA expression levels for VEGF-A, bFGF, HGF, IGF-I, EGF, PDGF-B, and their receptors. Cell proliferation was stimulated by these growth factors and fetal bovine serum (FBS) in 1 cell line and by FBS alone in 3 cell lines. However, cell proliferation was not stimulated by growth factors and FBS in the remaining 3 cell lines. Phosphorylated p44/42 Erk1/2 was increased by FBS stimulation in 4 cell lines. In contrast, phosphorylation of Akt at Ser473, mTOR complex 1 (mTORC1) at Ser2448, and eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP1) at Ser65 was high in serum-starved condition and not altered by FBS stimulation in 6 cell lines, despite increased phosphorylation of these residues in normal canine ECs. This suggested that the mTORC2/Akt/4E-BP1 pathway was constitutively activated in these 6 canine HSA cell lines. After cell inoculation into nude mice, canine HSA tumors were formed from 4 cell lines and showed Akt and 4E-BP1 phosphorylation identical to the parental cell lines.Conclusions
Our findings suggest that the present cell lines may be useful tools for investigating the role of the mTORC2/Akt/4E-BP1 pathway in canine HSA formation both in vivo and in vitro. 相似文献7.
8.
Michael HT Li Peter MU Ung James Zajkowski Sylvie Garneau-Tsodikova David H Sherman 《BMC bioinformatics》2009,10(1):185
Background
Discovery of new medicinal agents from natural sources has largely been an adventitious process based on screening of plant and microbial extracts combined with bioassay-guided identification and natural product structure elucidation. Increasingly rapid and more cost-effective genome sequencing technologies coupled with advanced computational power have converged to transform this trend toward a more rational and predictive pursuit. 相似文献9.
USP1 deubiquitinates ID proteins to preserve a mesenchymal stem cell program in osteosarcoma 总被引:2,自引:0,他引:2
Williams SA Maecker HL French DM Liu J Gregg A Silverstein LB Cao TC Carano RA Dixit VM 《Cell》2011,146(6):918-930
10.
Susan JM Hoonhorst Wim Timens Leo Koenderman Adèle T Lo Tam Loi Jan-Willem J Lammers H Marike Boezen Antoon JM van Oosterhout Dirkje S Postma Nick HT ten Hacken 《Respiratory research》2014,15(1)