RoboSep™
Fully Automated, Walk-Away Cell Isolation
Why Use RoboSep™ Instruments?
- Isolated cells are immediately ready for flow cytometry, functional studies or other downstream applications.
- Virtually any cell type can be isolated from a wide range of sample sources and sizes using positive or negative selection protocols.
- Perform sequential or simultaneous cell isolations from up to 16 samples.
- With a column-free design and minimal sample handling required, the risk of exposure to dangerous pathogens is minimized.
- Disposable tips and a column-free system eliminate the risk of sample cross-contamination.
- For special or non-standard applications, our experts can work with you to design protocols to isolate cells of interest.
- No daily washing or decontamination is required.
By combining an exceptionally compact design, a simple, user-friendly interface and the fast and easy cell separation protocols you’ve come to expect from STEMCELL Technologies, RoboSep™-S fits easily into the workflow of any lab that needs the multi-sample processing capacity, speed, reliability and convenience of automated cell isolation. Place multiple units side-by-side in biological safety cabinets or on lab benches and perform simultaneous cell isolations for up to 4 samples or sequential isolation of up to 4 cell types from the same sample. Simply select your protocol, load the samples and reagents, press “Run” and return in 25 to 60 minutes to collect your separated cells.
RoboSep™-S
Features:
Simultaneous Cell Isolations
Sequential Cell Isolation
Sample Volume
User-Friendly Interface
Reagent and Experiment Tracking
Compact Design with Removable lid
RoboSep™-16
Features:
Simultaneous Cell Isolations
Sequential Cell Isolation
Sample Volume
User-Friendly Interface
Reagent and Experiment Tracking
Reagent Detection
Key Applications
This describes a method used by the Florida Tissue Typing Laboratory to sequentially isolate B cells, T cells, myeloid cells, and NK cells starting from a single sample of HetaSep™-treated blood for their chimerism analysis.
New ex vivo models enable a closer approximation of the in vivo environment than traditional in vitro approaches. Here we highlight that employ a variety of ex vivo models to gain deeper insight into the dynamics of HIV infection.
RoboSep™-S Product Tour
RoboSep™-16 Product Tour
Technical Resources
Watch a series of videos that provide an overview on how to use and maintain your RoboSep™-S.
References
- Elliott G et al. (2015) Intermediate DNA methylation is a conserved signature of genome regulation. Nat Commun 6: 6363.
- Tyznik AJ et al. (2014) Distinct requirements for activation of NKT and NK cells during viral infection. J Immunol 192(8): 3676–85.
- Hamilton MJ et al. (2014) Macrophages Are More Potent Immune Suppressors Ex Vivo Than Immature Myeloid-Derived Suppressor Cells Induced by Metastatic Murine Mammary Carcinomas. J Immunol 192(1): 512–522.
- Jiang D et al. (2014) MicroRA-155 controls RB phosphorylation in normal and malignant B lymphocytes via the non canonical TGF-β1/SMAD5 signaling module. Blood 123(1): 86–93.
- Joly MS et al. (2014) Transient Low-Dose Methotrexate Generates B Regulatory Cells That Mediate Antigen-Specific Tolerance to Alglucosidase Alfa. J Immunol 193(8): 3947–3958.
- Chirullo B et al. (2013) A candidate anti-HIV reservoir compound, auranofin, exerts a selective “anti-memory” effect by exploiting the baseline oxidative status of lymphocytes. Cell Death Dis 4: e944.
- Wejksza K et al. (2013) Cancer-Produced Metabolites of 5-Lipoxygenase Induce Tumor-Evoked Regulatory B Cells via Peroxisome Proliferator-Activated Receptor. J Immunol 190(6): 2575–2584
- Treppendahl MB et al. (2012) Allelic methylation levels of the noncoding VTRNA2-1 located on chromosome 5q31.1 predict outcome in AML. Blood 119(1): 206–216.
- Ndhlovu ZM et al. (2012) Elite Controllers with Low to Absent Effector CD8+ T Cell Responses Maintain Highly Functional, Broadly Directed Central Memory Responses. J Virol 86(12): 6959–6969.
- Narumi K et al. (2012) In vivo delivery of interferon-α gene enhances tumor immunity and suppresses immunotolerance in reconstituted lymphopenic hosts. Gene Ther 19(1): 34–48.
- Arendt BK et al. (2012) Increased expression of extracellular matrix metalloproteinase inducer (CD147) in multiple myeloma: role in regulation of myeloma cell proliferation. Leukemia 26(10): 2286–2296.
- Munthe-Fog L et al. (2012) Variation in FCN1 affects biosynthesis of ficolin-1 and is associated with outcome of systemic inflammation. Genes Immun 13(7): 515–522.
- Bae J et al. (2011) Identification of novel myeloma-specific XBP1 peptides able to generate cytotoxic T lymphocytes: a potential therapeutic application in multiple myeloma. Leukemia 25(10): 1610–1619.
- Haefliger S et al. (2011) Protein disulfide isomerase blocks CEBPA translation and is up-regulated during the unfolded protein response in AML. Blood 117(22): 5931–5940.
- Sáez-cirión A et al. (2011) Restriction of HIV-1 replication in macrophages and CD4 + T cells from HIV controllers. Blood 118(4): 955–964.