Flow Cytometry Sorting Research Articles

An efficient method to isolate Kupffer cells eliminating endothelial cell contamination and selective bias.

Multicolor flow cytometry and cell sorting are powerful immunologic tools for the study of hepatic mϕ, yet there is no consensus on the optimal method to prepare liver homogenates for these analyses. Using a combination of mϕ and endothelial cell reporter mice, flow cytometry, and confocal imaging, we have shown that conventional flow‐cytometric strategies for identification of Kupffer cells (KCs) leads to inclusion of a significant proportion of CD31hi endothelial cells. These cells were present regardless of the method used to prepare cells for flow cytometry and represented endothelium tightly adhered to remnants of KC membrane. Antibodies to endothelial markers, such as CD31, were vital for their exclusion. This result brings into focus recently published microarray datasets that identify high expression of endothelial cell‐associated genes by KCs compared with other tissue‐resident mϕ. Our studies also revealed significant and specific loss of KCs among leukocytes with commonly used isolation methods that led to enrichment of proliferating and monocyte‐derived mϕ. Hence, we present an optimal method to generate high yields of liver myeloid cells without bias for cell type or contamination with endothelial cells.

MiR-422a weakened breast cancer stem cells properties by targeting PLP2

ABSTRACTObjective: This study investigated miR-422a and PLP2 expressions in breast cancer cells and breast cancer stem cells (BCSCs). Besides, their influences on polymorphism changes were observed.Methods: Flow cytometry and fluorescence-activated cell sorting was performed and CD24−/CD44+ cells were sorted from breast cancer cells and recognized as BCSCs. Microarray was applied to search for the differentially expressed miRNAs and mRNAs between MCF7 and BCSCs. The aberrant expression of miR-422a and PLP2 was further confirmed by RT-qPCR and the direct targeted relationship was verified by dual-luciferase reporter assay. After in vitro transfection, the expression of miR-422a and PLP2 were manipulated and biological functions of BMSCs were compared with CCK-8, colony formation and sphere formation assay. The tumorigenesis ability of transfected BMSCs was also investigated in NOD/SCID tumor mice models.Results: BMSCs were successfully established from MCF7 cells and miR-422a expression was downregulated while PLP2 level decreased in BMSCs. MiR-422a directly targets the 3′UTR of PLP2 and suppressed its expression. Besides, the up-regulation of miR-422a contributed to weakened ability of proliferation and microsphere formation of BMSCs, while PLP2 overexpression facilitated those biological abilities. Tumorigenesis of BMSCs in mice models was impaired by either overexpression of miR-442a or silencing of PLP2.Conclusion: Up-regulation of miR-422a attenuated microsphere formation, proliferation and tumor formation of breast cancer stem cells via suppressing the PLP2 expression.

Intelligent anticancer drug delivery performances of two poly(N-isopropylacrylamide)-based magnetite nanohydrogels

This article evaluates the anticancer drug delivery performances of two nanohydrogels composed of poly(N-isopropylacrylamide-co-itaconic anhydride) [P(NIPAAm-co-IA)], poly(ethylene glycol) (PEG), and Fe3O4 nanoparticles. For this purpose, the magnetite nanohydrogels (MNHGs) were loaded with doxorubicin hydrochloride (DOX) as a universal anticancer drug. The morphologies and magnetic properties of the DOX-loaded MNHGs were investigated using transmission electron microscopy (TEM) and vibrating–sample magnetometer (VSM), respectively. The sizes and zeta potentials (ξ) of the MNHGs and their corresponding DOX-loaded nanosystems were also investigated. The DOX-loaded MNHGs showed the highest drug release values at condition of 41 °C and pH 5.3. The drug-loaded MNHGs at physiological condition (pH 7.4 and 37 °C) exhibited negligible drug release values. In vitro cytotoxic effects of the DOX-loaded MNHGs were extensively evaluated through the assessing survival rate of HeLa cells using the MTT assay, and there in vitro cellular uptake into the mentioned cell line were examined using fluorescent microscopy and fluorescence-activated cell sorting (FACS) flow cytometry analyses. As the results, the DOX-loaded MNHG1 exhibited higher anticancer drug delivery performance in the terms of cytotoxic effect and in vitro cellular uptake. Thus, the developed MNHG1 can be considered as a promising de novo drug delivery system, in part due to its pH and thermal responsive drug release behavior as well as proper magnetite character toward targeted drug delivery.

Detection and cell sorting of Pseudonocardia species by fluorescence in situ hybridization and flow cytometry using 16S rRNA-targeted oligonucleotide probes.

Pseudonocardia spp. are receiving increasing attention due to their ability to biodegrade recalcitrant cyclic ether pollutants (e.g., 1,4-dioxane and tetrahydrofuran), as well as for their distinctive ecological niches (e.g., symbiosis with ants/plants and production of antibiotics). Isolating and characterizing Pseudonocardia spp. is thus important to discern their metabolic and physiological idiosyncrasies and advance their potential applications. However, slow growth, low cell yield, and dissimilar colony morphology hinder efficient isolation of Pseudonocardia using conventional plating methods. Here, we develop the first fluorescent probe (Pse631) targeting the 16S rRNA of Pseudonocardia members. In combination with flow cytometry and cell sorting, in situ hybridization with this probe enables sensitive and specific detection of Pseudonocardia cells in mixed cultures and enriched environmental samples without significant false positives, using Escherichia coli, Bacillus subtilis, and Mycobacterium spp. as negative controls. Pseudonocardia dioxanivorans CB1190 cells labeled with Pse631 as a positive control were detected when their relative abundance in the total bacterial community was as low as 0.1%. Effective separation of Pseudonocardia cells from the mixed consortium was confirmed by quantitative PCR analysis of sorted cells. This study provides a culture-independent high-throughput molecular approach enabling effective separation of Pseudonocardia populations from complex microbial communities. This approach will not only facilitate subsequent molecular analyses including species identification and quantification, but also advance understanding of their catabolic capacities and functional molecular diversity.

Population snapshots predict early haematopoietic and erythroid hierarchies

Red cell formation begins with the differentiation of multipotent hematopoietic progenitors. Reconstructing the steps of differentiation represents a stereotypical challenge in stem cell biology. Combining single-cell transcriptomics, fate assays, and theory for predicting fate from population snapshots, we inferred a continuous, hierarchical structure of murine hematopoietic progenitors committing to seven blood lineages. We uncovered coupling between erythroid and basophil/mast cell fates, a global hematopoietic response to erythroid stress, and novel growth factor receptor regulators of erythropoiesis. We also defined a new flow-cytometric sorting strategy to purify progressive early stages of erythroid differentiation, completely isolating classically-defined burst-forming (BFU-e) and colony-forming progenitors (CFU-e). Intriguingly, profound remodeling of the cell cycle is intimately entwined with erythroid development and with a sharp transcriptional switch that extinguishes the CFU-e stage and activates terminal differentiation. Our work showcases the utility of theory linking transcriptomic data to predictive fate models, providing insights into lineage development in vivo.

Small eukaryotic phytoplankton communities in tropical waters off Brazil are dominated by symbioses between Haptophyta and nitrogen-fixing cyanobacteria.

Symbioses between eukaryotic algae and nitrogen-fixing cyanobacteria have been recognized in recent years as a key source of new nitrogen in the oceans. We investigated the composition of the small photosynthetic eukaryote communities associated with nitrogen-fixing cyanobacteria in the Brazilian South Atlantic Bight using a combination of flow cytometry sorting and high throughput sequencing of two genes: the V4 region of 18S rRNA and nifH. Two distinct eukaryotic communities were often encountered, one dominated by the Mamiellophyceae Bathycoccus and Ostreococcus, and one dominated by a prymnesiophyte known to live in symbiosis with the UCYN-A1 nitrogen-fixing cyanobacterium. Among nifH sequences, those from UCYN-A1 were most abundant but three other UCYN-A clades (A2, A3, A4) were also found. Network analysis confirmed the relation between A1 and A2 clades and their hypothesized hosts and pointed out to the potential association between novel clade A4 with Braarudosphaera bigelowii, previously hypothesized to host A2.

Evidence for genetic anticipation in vonHippel-Lindau syndrome

Backgroundvon Hippel-Lindau (vHL) syndrome is a rare autosomal-dominant disorder that confers a lifelong risk for developing both benign and malignant tumours in multiple organs. Recent evidence suggests that vHL may...

The ratio of ADSCs to HSC-progenitors in adipose tissue derived SVF may provide the key to predict the outcome of stem-cell therapy

BackgroundStromal vascular fraction (SVF) represents an attractive source of adult stem cells and progenitors, holding great promise for numerous cell therapy approaches. In 2017, it was reported that 1524 patients received autologous SVF following the enzymatic digestion of liposuction fat. The treatment was safe and effective and patients showed significant clinical improvement. In a collaborative study, we analyzed SVF obtained from 58 patients having degenerative, inflammatory, autoimmune diseases, and advanced stage cancer.ResultsFlow analysis showed that freshly isolated SVF was very heterogeneous and harbored four major subsets specific to adipose tissue; CD34high CD45− CD31− CD146− adipose-derived stromal/stem cells (ADSCs), CD34low CD45+ CD206+CD31− CD146− hematopoietic stem cell-progenitors (HSC-progenitors), CD34high CD45− CD31+CD146+ adipose tissue-endothelial cells and CD45−CD34−CD31−CD146+ pericytes. Culturing and expanding of SVF revealed a homogenous population lacking hematopoietic lineage markers CD45 and CD34, but were positive for CD90, CD73, CD105, and CD44. Flow cytometry sorting of viable individual subpopulations revealed that ADSCs had the capacity to grow in adherent culture. The identity of the expanded cells as mesenchymal stem cells (MSCs) was further confirmed based on their differentiation into adipogenic and osteogenic lineages. To identify the potential factors, which may determine the beneficial outcome of treatment, we followed 44 patients post-SVF treatment. The gender, age, clinical condition, certain SVF-dose and route of injection, did not play a role on the clinical outcome. Interestingly, SVF yield seemed to be affected by patient’s characteristic to various extents. Furthermore, the therapy with adipose-derived and expanded-mesenchymal stem cells (ADE-MSCs) on a limited number of patients, did not suggest increased efficacies compared to SVF treatment. Therefore, we tested the hypothesis that a certain combination, rather than individual subset of cells may play a role in determining the treatment efficacy and found that the combination of ADSCs to HSC-progenitor cells can be correlated with overall treatment efficacy.ConclusionsWe found that a 2:1 ratio of ADSCs to HSC-progenitors seems to be the key for a successful cell therapy. These findings open the way to future rational design of new treatment regimens for individuals by adjusting the cell ratio before the treatment.

Phenotypic and Functional Evaluation of Hematopoietic Stem and Progenitor Cells in Toxicology of Heavy Metals.

All blood cells are differentiated from hematopoietic stem and progenitor cells (HSPCs), a process known as hematopoiesis that can be influenced by a variety of environmental factors. In this unit, we introduce a couple of protocols including phenotypic analysis, mixed bone marrow (BM) chimera and rescue assays, colony-forming unit (CFU), and in vitro OP9 stromal cell differentiation assays for evaluating HSPCs in the BM of mice, and provide some examples of their implications in mouse models treated with heavy metals. The protocols for evaluating hematopoietic stem cells (HSCs) comprise phenotypic analysis and functional transplantation assays. The protocols for assessing hematopoietic progenitor cells (HPCs) consist of phenotypic analysis and in vitro differentiation assays. The main techniques applied in these protocols include flow cytometry (phenotypic analysis and sorting), irradiation, transplantation, and cell culture. © 2018 by John Wiley & Sons, Inc.

Quantitative Detection of Low-Abundance Transcripts at Single-Cell Level in Human Epidermal Keratinocytes by Digital Droplet Reverse Transcription-Polymerase Chain Reaction.

Genetic and epigenetic characterization of the large cellular diversity observed within tissues is essential to understanding the molecular networks that ensure the regulation of homeostasis, repair, and regeneration, but also pathophysiological processes. Skin is composed of multiple cell lineages and is therefore fully concerned by this complexity. Even within one particular lineage, such as epidermal keratinocytes, different immaturity statuses or differentiation stages are represented, which are still incompletely characterized. Accordingly, there is presently great demand for methods and technologies enabling molecular investigation at single-cell level. Also, most current methods used to analyze gene expression at RNA level, such as RT-qPCR, do not directly provide quantitative data, but rather comparative ratios between two conditions. A second important need in skin biology is thus to determine the number of RNA molecules in a given cell sample. Here, we describe a workflow that we have set up to meet these specific needs, by means of transcript quantification in cellular micro-samples using flow cytometry sorting and reverse transcription-digital droplet polymerase chain reaction. As a proof-of-principle, the workflow was tested for the detection of transcription factor transcripts expressed at low levels in keratinocyte precursor cells. A linear correlation was found between quantification values and keratinocyte input numbers in a low quantity range from 40 cells to 1 cell. Interpretable signals were repeatedly obtained from single-cell samples corresponding to estimated expression levels as low as 10-20 transcript copies per keratinocyte or less. The present workflow may have broad applications for the detection and quantification of low-abundance nucleic acid species in single cells, opening up perspectives for the study of cell-to-cell genetic and molecular heterogeneity. Interestingly, the process described here does not require internal references such as house-keeping gene expression, as it is initiated with defined cell numbers, precisely sorted by flow cytometry.

Isolation and Identification of Group 2 Innate Lymphoid Cells in Settings of Type 2 Inflammation.

The recent discovery of innate lymphoid cells (ILCs), a major source of canonical T cell cytokines, has prompted significant interest into understanding the role of these novel cells in immune responses. Unlike T cells, ILCs lack antigen receptors, instead receiving activation from locally derived tissue signals. Group 2 ILCs (ILC2s), which express the genes encoding GATA-3, interleukin (IL)-4, IL-5, IL-9, and IL-13, are distributed throughout nonlymphoid tissues. Although ILC2s lack antigen receptors, there are considerable similarities that they share with their Th2 cell counterparts, including receptors, secreted signals, and key transcription factors. Here we describe a method of isolating ILC2s for analysis from peripheral tissues of the mouse. The approach consists of digesting and mechanically dissociating harvested organs followed by staining with fluorescently labeled antibodies for flow cytometry or cell sorting. We suggest panels of antibodies for each tissue that can be used as positive and negative markers to selectively separate ILC2s from other cells, and we demonstrate marker specificity with example cells from a "cytokine reporter" mouse strain.

Phenotypic and functional complexity of brain-infiltrating T cells in Rasmussen encephalitis

Objective:To characterize the brain-infiltrating immune cell repertoire in Rasmussen encephalitis (RE) with special focus on the subsets, clonality, and their cytokine profile.Methods:The immune cell infiltrate of freshly isolated brain tissue from RE was phenotypically and functionally characterized using immunohistology, flow cytometry, and T-cell receptor (TCR) deep sequencing. Identification of clonally expanded T-cell clones (TCCs) was achieved by combining flow cytometry sorting of CD4+ and CD8+ T cells and high-throughput TCR Vβ-chain sequencing. The most abundant brain-infiltrating TCCs were isolated and functionally characterized.Results:We found that CD4+, CD8+, and also γδ T cells infiltrate the brain tissue in RE. Further analysis surprisingly revealed that not only brain-infiltrating CD8+ but also CD4+ T cells are clonally expanded in RE. All 3 subsets exhibited a Tc1/Th1 phenotype characterized by the production of interferon (IFN)-γ and TNF. Broad cytokine profiling at the clonal level showed strong production of IFN-γ and TNF and also secretion of interleukin (IL)-5, IL-13, and granzyme B, both in CD4+ and CD8+ T cells.Conclusions:CD8+ T cells were until now considered the central players in the immunopathogenesis of RE. Our study adds to previous findings and highlights that CD4+ TCCs and γδ T cells that secrete IFN-γ and TNF are also involved. These findings underline the complexity of T-cell immunity in RE and suggest a specific role for CD4+ T cells in orchestrating the CD8+ T-cell effector immune response.

The cell-type specific transcriptome in human adipose tissue and influence of obesity on adipocyte progenitors

Obesity affects gene expression and metabolism of white adipose tissue (WAT), which results in insulin resistance (IR) and type 2 diabetes. However, WAT is a heterogeneous organ containing many cell types that might respond differently to obesity-induced changes. We performed flow cytometry sorting and RNA expression profiling by microarray of major WAT cell types (adipocytes, CD45−/CD31−/CD34+ progenitors, CD45+/CD14+ monocytes/ macrophages, CD45+/CD14− leukocytes), which allowed us to identify genes enriched in specific cell fractions. Additionally, we included adipocytes and adipocyte progenitor cells obtained from lean and obese individuals. Taken together, we provide a detailed gene expression atlas of major human adipose tissue resident cell types for clinical/basic research and using this dataset provide lists of cell-type specific genes that are of interest for metabolic research.

Flow Cytometry (FCM) Analysis and Fluorescence-Activated Cell Sorting (FACS) of Erythroid Cells.

To study the process of erythropoiesis, it is important to be able to isolate erythroid progenitors and erythroblasts at distinct stages of development. During the past decade, considerable progress has been made on the development of flow cytometry (FCM) and fluorescence-activated cell sorting (FACS) methods for the analysis and isolation of both murine and human erythroid cells at distinct stages of erythropoiesis, based on changes in the expression of cell surface markers. A method for the identification of murine BFU-E and CFU-E cells was reported by Flygare et al., by negative selection for Ter119, B220, Mac-1, CD3, Gr1, Sca-1, CD16/CD32, CD41, and CD34 cells, followed by separation based on the expression levels of CD71. We developed an alternative method in which Ter119 is used as an erythroid lineage marker, and in conjunction with CD44 and cell size as differentiation markers, it is possible to unambiguously distinguish erythroblasts at each developmental stage during murine terminal erythroid differentiation. We also developed methods for the analysis and isolation of human erythroid cells at all developmental stages. BFU-E and CFU-E are characterized by CD45+GPA-IL-3R-CD34+CD36-CD71low and CD45+GPA-IL-3R-CD34-CD36+CD71high phenotypes, respectively; the combination of GPA, band 3 and α4-integrin are used to isolate erythroid cells at all of the terminal stages of human erythropoiesis, including proerythroblasts, early basophilic, late basophilic, polychromatic and orthochromatic erythroblasts.

Novel incubation‐free approaches to determine phytoplankton net primary productivity, growth, and biomass based on flow cytometry and quantification of ATP and NAD(H)

AbstractRecent advances in sorting flow cytometry (SFCM) and sensitive biochemical techniques have opened the door for a variety of new incubation‐free measurements to assess cell physiology. We adapted highly sensitive bioluminescent methodologies to measure cell NAD(H) and adenosine triphosphate (ATP) contents as predictors of phytoplankton primary production and growth rate. We first applied these methods to algae in taxonomically distinct groups: the chlorophyte Dunaliella tertiolecta, the diatom Thalassiosira pseudonana and a model cyanobacterium Synechococcus sp. WH8102. We found that NAD(H) content [NAD(H)phyto] increased significantly with increasing net primary productivity (NPP) and growth rate. In contrast, and in agreement with previous studies, phytoplankton ATP content (ATPphyto) was highly correlated with carbon biomass. Furthermore, ATPphyto was not correlated with NPP or growth rate. As a field test of the method, we then measured NAD(H)phyto in phytoplankton samples collected by SFCM in the North Pacific. These measurements yielded an estimate of NPP closely matching that from the traditional incubation‐dependent 14C uptake technique. The methods described here enable low‐biomass, incubation‐free estimates of phytoplankton NPP, growth rate, and biomass.

Bivariate flow cytometric analysis and sorting of different types of maize starch grains.

Particle-size distribution, granular structure, and composition significantly affect the physicochemical properties, rheological properties, and nutritional function of starch. Flow cytometry and flow sorting are widely considered convenient and efficient ways of classifying and separating natural biological particles or other substances into subpopulations, respectively, based on the differential response of each component to stimulation by a light beam; the results allow for the correlation analysis of parameters. In this study, different types of starches isolated from waxy maize, sweet maize, high-amylose maize, pop maize, and normal maize were initially classified into various subgroups by flow cytometer and then collected through flow sorting to observe their morphology and particle-size distribution. The results showed that a 0.25% Gelzan solution served as an optimal reagent for keeping individual starch particles homogeneously dispersed in suspension for a relatively long time. The bivariate flow cytometric population distributions indicated that the starches of normal maize, sweet maize, and pop maize were divided into two subgroups, whereas high-amylose maize starch had only one subgroup. Waxy maize starch, conversely, showed three subpopulations. The subgroups sorted by flow cytometer were determined and verified in terms of morphology and granule size by scanning electron microscopy and laser particle distribution analyzer. Results showed that flow cytometry can be regarded as a novel method for classifying and sorting starch granules. © 2017 International Society for Advancement of Cytometry.

Guidelines for the use of flow cytometry and cell sorting in immunological studies.

The marriage between immunology and cytometry is one of the most stable and productive in the recent history of science. A rapid search in PubMed shows that, as of July 2017, using “flow cytometry immunology” as a search term yields more than 68 000 articles, the first of which, interestingly, is not about lymphocytes. It might be stated that, after a short engagement, the exchange of the wedding rings between immunology and cytometry officially occurred when the idea to link fluorochromes to monoclonal antibodies came about. After this, recognizing different types of cells became relatively easy and feasible not only by using a simple fluorescence microscope, but also by a complex and sometimes esoteric instrument, the flow cytometer that is able to count hundreds of cells in a single second, and can provide repetitive results in a tireless manner. Given this, the possibility to analyse immune phenotypes in a variety of clinical conditions has changed the use of the flow cytometer, which was incidentally invented in the late 1960s to measure cellular DNA by using intercalating dyes, such as ethidium bromide. The epidemics of HIV/AIDS in the 1980s then gave a dramatic impulse to the technology of counting specific cells, since it became clear that the quantification of the number of peripheral blood CD4+ T cells was crucial to follow the course of the infection, and eventually for monitoring the therapy. As a consequence, the development of flow cytometers that had to be easy-to-use in all clinical laboratories helped to widely disseminate this technology. Nowadays, it is rare to find an immunological paper or read a conference abstract in which the authors did not use flow cytometry as the main tool to dissect the immune system and identify its fine and complex functions. Of note, recent developments have created the sophisticated technology of mass cytometry, which is able to simultaneously identify dozens of molecules at the single cell level and allows us to better understand the complexity and beauty of the immune system.

N-cadherin identifies human endometrial epithelial progenitor cells by in vitro stem cell assays

Is there a specific surface marker that identifies human endometrial epithelial progenitor cells with adult stem cell activity using in vitro assays? N-cadherin isolates clonogenic, self-renewing human endometrial epithelial progenitor cells with high proliferative potential that differentiate into cytokeratin+ gland-like structures in vitro and identifies their location in some cells of gland profiles predominantly in basalis endometrium adjacent to the myometrium. Human endometrium contains a small population of clonogenic, self-renewing epithelial cells with high proliferative potential that differentiate into large gland-like structures, but their identity and location is unknown. Stage-specific embryonic antigen-1 (SSEA-1) distinguishes the epithelium of basalis from functionalis and is a marker of human post-menopausal (Post-M) endometrial epithelium. Prospective observational study of endometrial epithelial cells obtained from hysterectomy samples taken from 50 pre-menopausal (Pre-M) and 24 Post-M women, of which 4 were from women who had taken daily estradiol valerate 2 mg/day for 8 weeks prior. Gene profiling was used to identify differentially expressed surface markers between fresh EpCAM (Epithelial Cell Adhesion Molecule)-magnetic bead-selected basalis-like epithelial cells from Post-M endometrium compared with predominantly functionalis epithelial cells from Pre-M endometrium and validated by qRT-PCR. In vitro clonogenicity and self-renewal assays were used to assess the stem/progenitor cell properties of magnetic bead-sorted N-cadherin+ and N-cadherin- epithelial cells. The cellular identity, location and phenotype of N-cadherin+ cells was assessed by dual colour immunofluorescence and confocal microscopy for cytokeratin, proliferative status (Ki-67), ERα, SSEA-1, SOX9 and epithelial mesenchymal transition (EMT) markers on full thickness human endometrium. CDH2 (N-cadherin gene) was one of 11 surface molecules highly expressed in Post-M compared to Pre-M endometrial epithelial cells. N-cadherin+ cells comprise a median 16.7% (n = 8) and 20.2% (n = 5) of Pre-M endometrial epithelial cells by flow cytometry and magnetic bead sorting, respectively. N-cadherin+ epithelial cells from Pre-M endometrium were more clonogenic than N-cadherin- cells (n = 12, P = 0.003), underwent more population doublings (n = 7), showed greater capacity for serial cloning (n = 7) and differentiated into cytokeratin+ gland-like organoids. N-cadherin immunolocalised to the lateral and apical membrane of epithelial cells in the bases of glands in the basalis of Pre-M endometrium and Post-M gland profiles, co-expressing cytokeratin, ERα but not SSEA-1 or SOX9, which localized on gland profiles proximal to N-cadherin+ cells. N-cadherin+ cells were quiescent (Ki-67-) in the basalis and in Post-M endometrial glands and co-localized with EMT markers vimentin and E-cadherin. The raw and processed data files from the gene microarray have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus data set with accession number GSE35221. This is a descriptive study in human endometrium only using in vitro stem cell assays. The differential ability of N-cadherin+ and N-cadherin-cells to generate endometrial glands in vivo was not determined. A small number of uterine tissues analysed contained adenomyosis for which N-cadherin has been implicated in epithelial-EMT. A new marker enriching for human endometrial epithelial progenitor cells identifies a different and potentially more primitive cell population than SSEA-1, suggesting a potential hierarchy of epithelial differentiation in the basalis. Using N-cadherin as a marker, the molecular and cellular characteristics of epithelial progenitor cells and their role in endometrial proliferative disorders including endometriosis, adenomyosis and thin dysfunctional endometrium can be investigated. This research was supported by Cancer Council Victoria grant 491079 (C.E.G.) and Australian National Health and Medical Research Council grants 1021127 (C.E.G.), 1085435 (C.E.G., J.A.D.), 145780 and 288713 (C.N.S.), RD Wright Career Development Award 465121 (C.E.G.), Senior Research Fellowship 1042298 (C.E.G.), the Victorian Government's Operational Infrastructure Support and an Australian Postgraduate Award (HPTN), and China Council Scholarship (L.X.). The authors have nothing to declare.

Fattigation-platform nanoparticles using apo-transferrin stearic acid as a core for receptor-oriented cancer targeting

A major hurdle in cancer treatment is the precise targeting of drugs to the cancer site. As many cancer cells overexpress the transferrin receptor (TfR), the transferrin (Tf)-TfR interaction is widely exploited to target cancer cells. In this study, novel amphiphilic apo-Tf stearic acid (TfS) conjugates were prepared and characterized by Fourier transform infrared (FTIR) spectroscopy, matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry, and trinitrobenzenesulfonic acid (TNBS) assay. The prepared TfS conjugates were readily self-assembled in water to form nanoparticles (NPs), consisting of TfS as a core of NPs, whose sizes and zeta potentials were determined by scanning electron microscopy (SEM), transmission electron microscopy (TEM), and a particle size analyzer. Hydrophilic water-soluble doxorubicin (DOX) was chosen as a model drug. DOX-loaded TfS NPs (NP+DOX), prepared by the adsorption of DOX on the NP surface via the incubation method, were analyzed for their cell targeting and killing efficiencies in TfR-overexpressing A549 and HCT116 cell lines by MTT assay, confocal microscopy, and fluorescence assisted cell sorting (flow cytometry). The data showed that NP+DOX exhibited improved cancer cell targeting and killing properties compared to that reported for free DOX. Further, the cytotoxic efficiency of NP+DOX was comparable to that of PEGylated liposomal product, Doxil®, while its cellular uptake was higher than that of Doxil®. Thus, this novel receptor-based TfS NP drug delivery system has great potential to target TfR-overexpressing cancer cells without off-target effects.

Strategies to Obtain Diverse and Specific Human Monoclonal Antibodies From Transgenic Animals.

Techniques to obtain large quantities of antigen-specific monoclonal antibodies (mAbs) were first established in the 1970s when Georges Köhler and César Milstein immortalized antibody-producing mouse B-lymphocytes by fusion with myeloma cells (http://www.whatisbiotechnology.org/exhibitions/milstein). Combined with the expression of human antibodies in transgenic animals, this technique allowed upon immunization the generation of highly specific fully human mAbs for therapeutic applications. Apart from being extremely beneficial, mAbs are a huge success commercially. However, despite cell fusion generating many useful mAbs questions have been asked about which types of cells are prone to fuse and whether other methods may identify a wider range of binders. The discovery that expression libraries, using Escherichia coli or yeast, produced different specificities was intriguing and more recently Next-Generation Sequencing has identified wide-ranging usage with highly diverse and unique repertoires. Another strategy is the combination of flow cytometry sorting of antigen-binding B lymphocytes and single-cell reverse transcription polymerase chain reaction followed by reexpression, which has identified many high-affinity mAbs.