Sorted cell microarrays as platforms for high-content informational bioassays

Anglin, Emily J.; Salisbury, Carolyn; Bailey, Sheree; Hor, Maryam; Macardle, Peter J.; Fenech, Michael; Thissen, Helmut; Voelcker, Nicolas H.

doi:10.1039/c0lc00185f

Cited by 24 publications

(21 citation statements)

References 39 publications

(46 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Microarrays of HR1K Burkitt's lymphoma cells (B cells) and Jurkat cells (T cells) were generated by capturing the cells on microarray surfaces that display spots of immobilized anti-CD45 antibody ( Supplementary Fig. 2) [26][27][28] . It is noteworthy that both cell types express the antigen CD45.…”

Section: Resultsmentioning

confidence: 99%

Targeted drug delivery using genetically engineered diatom biosilica

et al. 2015

Self Cite

View full text Add to dashboard Cite

The ability to selectively kill cancerous cell populations while leaving healthy cells unaffected is a key goal in anticancer therapeutics. The use of nanoporous silica-based materials as drug-delivery vehicles has recently proven successful, yet production of these materials requires costly and toxic chemicals. Here we use diatom microalgae-derived nanoporous biosilica to deliver chemotherapeutic drugs to cancer cells. The diatom Thalassiosira pseudonana is genetically engineered to display an IgG-binding domain of protein G on the biosilica surface, enabling attachment of cell-targeting antibodies. Neuroblastoma and B-lymphoma cells are selectively targeted and killed by biosilica displaying specific antibodies sorbed with drug-loaded nanoparticles. Treatment with the same biosilica leads to tumour growth regression in a subcutaneous mouse xenograft model of neuroblastoma. These data indicate that genetically engineered biosilica frustules may be used as versatile 'backpacks' for the targeted delivery of poorly water-soluble anticancer drugs to tumour sites.

show abstract

Section: Resultsmentioning

confidence: 99%

Targeted drug delivery using genetically engineered diatom biosilica

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several researchers assessed cell radio-sensitivity by examining the level of apoptosis, they realized that it depends not only on dose value, but also on post-exposure elapsed time. [2934] Some studies have suggested time-dependent expression,[16] particularly in the first 5 hours and a return to the base-line within 20 hours. [35] But, in our study, these changes remained for a much long time and gradually faded over a week.…”

Section: Resultsmentioning

confidence: 99%

“…[12131415] In some studies, performed on lymphocytes suggest gene expression level are time-dependent. [16] A good knowledge of post-irradiation history of a biomarker would help to assess absorbed dose, regardless of the elapsed time between exposure and sampling. In vitro studies, mostly have been carried out on peripheral blood lymphocytes (PBL), and the elapsed time between irradiation and gene expression assessment varies from 15 minutes to 72 hours.…”

Section: Introductionmentioning

confidence: 99%

Up-regulation of Bcl-2 expression in cultured human lymphocytes after exposure to low doses of gamma radiation

et al. 2015

View full text Add to dashboard Cite

Lymphocytes have demonstrated complex molecular responses to induced stress by ionizing radiation. Many of these reactions are mediated through modifications in gene expressions, including the genes involved in apoptosis. The primary aim of this study was to assess the effects of low doses of ionizing radiation on the apoptotic genes, expression levels. The secondary goal was to estimate the time-effect on the modified gene expression caused by low doses of ionizing radiation. Mononuclear cells in culture were exposed to various dose values ranged from 20 to 100 mGy by gamma rays from a Cobalt-60 source. Samples were taken for gene expression analysis at hours 4, 24, 48, 72, and 168 following to exposure. Expression level of two apoptotic genes; BAX (pro-apoptotic) and Bcl-2 (anti-apoptotic) were examined by relative quantitative real-time polymerase chain reaction (PCR), at different time intervals. Radio-sensitivity of peripheral blood mononucleated cells (PBMCs) was measured by the Bcl-2/BAX ratio (as a predictive marker for radio-sensitivity). The non-parametric two independent samples Mann–Whitney U-test were performed to compare means of gene expression. The results of this study revealed that low doses of gamma radiation can induce early down-regulation of the BAX gene of freshly isolated human PBMCs; however, these changes were restored to near normal levels after 168 hours. In most cases, expression of the Bcl-2 anti-apoptotic gene was up-regulated. Four hours following to exposure to low doses of gamma radiation, apoptotic gene expression is modified, this is manifested as adaptive response. Modification of these gene expressions seems to be a principle pathway in the early radioresistance response. In our study, we found that these changes were temporary and faded completely within a week.

show abstract

“…[7][8][9][10] Polymer microarrays have become a key tool for materials discovery projects and have been widely used to assess a number of material-biological applications including stem cells, [11][12][13] bacteria, [14][15][16] and cell sorting. [17][18][19][20] The large number of material interactions that can be rapidly assessed using polymer microarrays has resulted in surface structure-property models that describe the biological performance of materials based upon a measured physical property. To achieve this, high throughput surface characterization of polymer microarrays has been a necessary development and has been achieved for various techniques including x-ray photoelectron spectroscopy, ToF-SIMS 8,9 water contact angle (WCA) 21,22 atomic force microscopy, 23 surface plasmon resonance, 24 and force measurements.…”

Section: Introductionmentioning

confidence: 99%

Multivariate ToF-SIMS image analysis of polymer microarrays and protein adsorption

et al. 2015

View full text Add to dashboard Cite

The complexity of hyperspectral time of flight secondary ion mass spectrometry (ToF-SIMS) datasets makes their subsequent analysis and interpretation challenging, and is often an impasse to the identification of trends and differences within large sample-sets. The application of multivariate data analysis has become a routine method to successfully deconvolute and analyze objectively these datasets. The advent of high-resolution large area ToF-SIMS imaging capability has enlarged further the data handling challenges. In this work, a modified multivariate curve resolution image analysis of a polymer microarray containing 70 different poly(meth)acrylate type spots (over a 9.2 × 9.2 mm area) is presented. This analysis distinguished key differences within the polymer library such as the differentiation between acrylate and methacrylate polymers and variance specific to side groups. Partial least squares (PLS) regression analysis was performed to identify correlations between the ToF-SIMS surface chemistry and the protein adsorption. PLS analysis identified a number of chemical moieties correlating with high or low protein adsorption, including ions derived from the polymer backbone and polyethylene glycol side-groups. The retrospective validation of the findings from the PLS analysis was also performed using the secondary ion images for those ions found to significantly contribute to high or low protein adsorption.

show abstract

Sorted cell microarrays as platforms for high-content informational bioassays

Cited by 24 publications

References 39 publications

Targeted drug delivery using genetically engineered diatom biosilica

Targeted drug delivery using genetically engineered diatom biosilica

Up-regulation of Bcl-2 expression in cultured human lymphocytes after exposure to low doses of gamma radiation

Multivariate ToF-SIMS image analysis of polymer microarrays and protein adsorption

Contact Info

Product

Resources

About