Flow Cytometry
It allows for the rapid measurement and analysis of multiple physical and chemical characteristics of cells or particles as they flow in a fluid stream through a beam of light.
This technique enables the identification, enumeration, and sorting of different cell types based on their size, granularity, and expression of specific surface or intracellular markers.
Flow cytometry has become an indispensable tool in medical research, clinical diagnostics, and cell biology, enabling researchers to gain insights into complex biological systems and unlock new discoveries.
With its high-throughput capabilities and ability to provide quantitative data, flow cytometry has revolutionized the way researchers approach cell analysis and has become an essential technique in modern biomedical research.
Most cited protocols related to «Flow Cytometry»
To measure repair using the inducible I-SceI protein (TST) in combination with siRNA-mediated inhibition of CtIP, HEK293 cell lines with each of the reporters and stable expression of TST were first plated on 24 well plates at 105 cells/well. The following day, the wells were transfected with 70nM siRNA duplex mixed with 4ul/ml of Lipofectamine 2000 in Optimem (Invitrogen). After 4.5h, transfection complexes were diluted two-fold with media without antibiotics, and 48h after the initiation of transfection, 4OHT was added at 3 µM for 24h. Three days after 4OHT was added, the percentage of GFP+ cells was analyzed by FACS as described above. Knockdown of CtIP levels using the various siRNAs was confirmed by RT-PCR from RNA samples isolated from parallel transfections at the time of 4OHT addition (data not shown). Amplification product was quantified at the threshold cycle by including SYBR green in the PCR reaction and using an iQ5 cycler for real-time analysis at the end of each cycle (BioRad). Products were normalized relative to a primer set directed against actin. Sequences of the siRNAs siCtIP-p (Santa Cruz Biotechnology), and siCtIP-1 [25] (link), and primers for RT-PCR are shown in
Repair frequencies are the mean of at least three transfections or four 4OHT treatments, and error bars represent the standard deviation from the mean. For some experiments, repair frequencies are shown relative to samples co-transfected with I-SceI and an empty vector (EV). For this calculation, the percentage of GFP+ cells from each sample was divided by the mean value of the EV samples treated in the parallel experiment. Similarly, to calculate the fold-difference in repair between siRNA-treated and control-siRNA treated cells, the percentage of GFP+ cells from each sample was divided by the mean value of control-siRNA samples from the parallel experiment. Statistical analysis was performed using the unpaired t-test.
Most recents protocols related to «Flow Cytometry»
Example 10
This example provides in vitro IC50 data for the blocking of the interaction between recombinant human PD-1 (PD-1-Fc Chimera; Sino Biologics) and human PD-L1 expressed CHO cells by anti-PD-L1 antibody G12. Here, CHO cells expressing PD-L1 were pre-incubated with G12 prior to the addition of rhPD-1-Fc chimeric protein. After incubation and washing, PD-1 binding to cell surface expressed PD-L1 was detected using an Alexa-Fluor 647 tagged anti-PD-1 antibody by flow cytometry (Intellicyt HTFC; FL-4H). This example shows that anti-PD-L1 monoclonal antibody G12 was able to inhibit efficiently the binding of PD-1 to PD-L1 expressed on the surface of CHO cells.
Results: As shown in
Example 3
Investigation of Virus Infectivity as a Factor that Determines Plaque Size.
With the revelation that plaque formation is strongly influenced by the immunogenicity of the virus, the possibility that infectivity of the virus could be another factor that determines plaque sizes was investigated. The uptake of viruses into cells in vitro was determined by measuring the amounts of specific viral RNA sequences through real-time PCR.
To measure total viral RNA, total cellular RNA was extracted using the RNEasy Mini kit (Qiagen), and complementary DNA synthesized using the iScript cDNA Synthesis kit (Bio-Rad). To measure total viral RNA, quantitative real-time PCR was done using a primer pair targeting a highly conserved region of the 3′ UTR common to all four serotypes of dengue; inter-sample normalization was done using GAPDH as a control. Primer sequences are listed in Table 5. Pronase (Roche) was used at a concentration of 1 mg/mL and incubated with infected cells for five minutes on ice, before washing with ice cold PBS. Total cellular RNA was then extracted from the cell pellets in the manner described above.
The proportion of infected cells was assessed by flow cytometry. Cells were fixed and permeabilised with 3% paraformaldehyde and 0.1% saponin, respectively. DENV envelope (E) protein was stained with mouse monoclonal 4G2 antibody (ATCC) and AlexaFluor488 anti-mouse secondary antibody. Flow cytometry analysis was done on a BD FACS Canto II (BD Bioscience).
Unexpectedly, despite DENV-2 PDK53 inducing stronger antiviral immune responses, it had higher rates of uptake by HuH-7 cells compared to DENV-2 16681 (
Results above demonstrate that the DENV-2 PDK53 and DENV-3 PGMK30 are polarized in their properties that influence plaque morphologies. While both attenuated strains were selected for their formation of smaller plaques compared to their parental strains, the factors leading to this outcome are different between the two.
Accordingly, this study has demonstrated that successfully attenuated vaccines, as exemplified by DENV-2 PDK53 in this study, form smaller plaques due to induction of strong innate immune responses, which is triggered by fast viral uptake and spread of infection. In contrast, DENV-3 PGMK30 form smaller plaques due to its slower uptake and growth in host cells, which inadvertently causes lower up-regulation of the innate immune response.
Based on the results presented in the foregoing Examples, the present invention provides a new strategy to prepare a LAV, which expedites the production process and ensures the generation of effectively attenuated viruses fit for vaccine use.
Example 6
Aim and Background
The aim of this study was to assess the binding of the CD40-CEA RUBY™ bispecific antibodies to CEACAM5 expressed on cells and evaluate potential cross-reactivity to CEACAM1. In this study both CEACAM5 transfected cells and human tumor cells with endogenous CEACAM5 expression were used.
Materials and Methods
The human CEACAM5 and CEACAM1 genes were cloned into pcDNA3.1, and the vector was subsequently stably transfected into CHO cells. The tumor cell line MKN45, expressing high levels of CEACAM5, LS174T expressing intermediate levels of CEACAM5, and HT29 and LOVO expressing low levels of CEACAM5 (Table 16), CHO-CEACAM5, CHO-CEACAM1 and to CHO wt cells were incubated with titrated concentrations of CD40-CEA bispecific antibodies. Binding of the antibodies was detected using fluorochrome-conjugated anti-human IgG and analyzed using flow cytometry.
Results and Conclusions
The data demonstrate that all tested CD40-CEACAM5 RUBYs bind to CEACAM5 expressed on CHO-CEACAM5 (
Example 7
To confirm that Cynomolgus monkey is a relevant toxicity species, protease activated CI104, CI106 and CI107 were used in a flow cytometry based cell binding assay and a HT29-luc2 cytotoxicity assay using Cynomolgus pan T cells (BioreclamationIVT) and the potency was compared to human PBMCs. Protocol was as described in Examples 2 and 3.
Therefore, cynomolgus monkey was determined to be a relevant species for tolerability studies.
Example 8
In selecting genomes for a given bacterial species where a SLAM homolog was identified, preference was given to reference genomes that contained fully sequenced genomes. SLAM homologs were identified using iterative Blast searches into closely related species to Neisseria to more distantly related species. For each of the SLAM homologs identified in these species, the corresponding genomic record (NCBI genome) was used to identify genes upstream and downstream along with their corresponding functional annotations (NCBI protein database, Ensembl bacteria). In a few cases, no genes were predicted upstream or downstream of the SLAM gene as they were too close to the beginning or end of the contig, respectively, and thus these sequences were ignored.
Neighbouring genes were analyzed for 1) an N-terminal lipobox motif (predicted using LipoP, SignalP), and 2) a solute binding protein, Tbp-like (InterPro signature: IPR or IPR011250), or pagP-beta barrel (InterPro signature: IPR011250) fold. If they contained these elements, we identified the adjacent genes as potential SLAM-dependent surface lipoproteins.
A putative SLAM (PM1515, SEQ ID NO: 1087) was identified in Pasteurella multocida using the Neisseria SLAM as a search. The putative SLAM (PM1515, SEQ ID NO: 1087) was adjacent to a newly predicted lipoprotein gene with unknown function (PM1514, SEQ ID NO: 1083) (
The putative SLAM (PM1515, SEQ ID NO: 1087) and its adjacent lipoprotein (PM1514, SEQ ID NO: 1083) were cloned into pET26b and pET52b, respectively, as previously described and transformed into E. coli C43 and grown overnight on LB agar supplemented with kanamycin (50 ug/ml) and ampicillin (100 ug/ml).
Cells were grown in auto-induction media for 18 hours at 37 C and then harvested, washed twice in PBS containing 1 mM MgCl2, and labeled with α-Flag (1:200, Sigma) for 1 hr at 4 C. The cells were then washed twice with PBS containing 1 mM MgCl2 and then labeled with R-PE conjugated α-mouse IgG (25 ug/mL, Thermo Fisher Scientific) for 1 hr at 4 C. following straining, cells were fixed in 2% formaldehyde for 20 minutes and further washed with PBS containing 1 mM MgCl2. Flow Cytometry was performed with a Becton Dickinson FACSCalibur and the results were analyzed using FLOWJO software. Mean fluorescence intensity (MFI) was calculated using at least three replicates was used to compare surface exposure the lipoprotein in strains either containing or lacking the putative SLAM (PM1515) and are shown in
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More about "Flow Cytometry"
This powerful method allows researchers to rapidly measure and analyze multiple physical and chemical characteristics of cells or particles as they flow through a fluid stream and encounter a beam of light.
With its ability to identify, enumerate, and sort different cell types based on size, granularity, and the expression of specific surface or intracellular markers, flow cytometry has become an indispensable tool in modern biomedical research.
From the FACSCalibur and FACSCanto II to the LSRFortessa, flow cytometers have become essential instruments in countless laboratories, enabling researchers to unlock new discoveries and gain deep insights into complex biological systems.
Powered by software like CellQuest and FACSDiva, these advanced instruments can even perform high-throughput cell analysis, revolutionizing the way researchers approach cell characterization.
Propidium iodide, a widely used fluorescent dye, has become a staple in flow cytometry, allowing researchers to stain and detect dead or dying cells.
The BD Accuri C6, a compact and user-friendly flow cytometer, has also become a popular choice for researchers and clinicians alike, offering a streamlined approach to cell analysis.
Whether you're working with immunology, cell biology, or any other field that requires in-depth cell analysis, flow cytometry is an essential tool that can help you unlock new discoveries and push the boundaries of your research.
Explore the latest advancements and best practices in flow cytometry, and discover how this powerful technique can transform your workflow and elevate your research to new heights.