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EasyEights? EasySep? Magnet

Multiple sample processing magnet for column-free immunomagnetic cell separation

New look, same high quality and support! You may notice that your instrument or reagent packaging looks slightly different from images displayed on the website, or from previous orders. We are updating our look but rest assured, the products themselves and how you should use them have not changed. Learn more

EasyEights? EasySep? Magnet

Multiple sample processing magnet for column-free immunomagnetic cell separation

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Multiple sample processing magnet for column-free immunomagnetic cell separation
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What Our Scientist Says

Isolating cells from multiple samples doesn't have to be tedious and time-consuming. That's why we've designed this magnet that can isolate cells from multiple samples in as little as 20 minutes.

Jennifer KennettTechnical Scientist
Jennifer Kennett, Technical Scientist

Overview

Easily and efficiently perform magnetic cell separation on up to 16 samples simultaneously using the EasyEights? EasySep? Magnet with selected EasySep? reagents. The EasyEights? EasySep? Magnet has a large sample range, capable of processing small samples, starting at 0.1 x 10^8 cells, to larger samples, up to 8.5 x 10^8 cells. This magnet is designed to hold up to 8 standard 5 mL (12 x 75 mm) round-bottom tubes on one side, and 8 standard 14 mL (17 x 95 mm) round-bottom or 15 mL conical tubes on the other side.

Not sure which magnet to use? Visit our EasySep? Cell Separation Magnets page to compare the different options and select the appropriate magnet for your research.

Learn more about how immunomagnetic EasySep? technology works.
Species
Human, Mouse, Non-Human Primate, Other, Rat
Application
Cell Isolation
Brand
EasySep

Protocols and Documentation

Find supporting information and directions for use in the Product Information Sheet or explore additional protocols below.

Document Type
Product Name
Catalog #
Lot #
Language
Document Type
Product Name
Catalog #
18103
Lot #
All
Language
English

Applications

This product is designed for use in the following research area(s) as part of the highlighted workflow stage(s). Explore these workflows to learn more about the other products we offer to support each research area.

Resources and Publications

Frequently Asked Questions

Can EasySep™ be used for either positive or negative selection?

Yes. The EasySep™ kits use either a negative selection approach by targeting and removing unwanted cells or a positive selection approach targeting desired cells. Depletion kits are also available for the removal of cells with a specific undesired marker (e.g. GlyA).

How does the separation work?

Magnetic particles are crosslinked to cells using Tetrameric Antibody Complexes (TAC). When placed in the EasySep™ Magnet, labeled cells migrate to the wall of the tube. The unlabeled cells are then poured off into a separate fraction.

Which columns do I use?

The EasySep™ procedure is column-free. That's right - no columns!

How can I analyze the purity of my enriched sample?

The Product Information Sheet provided with each EasySep™ kit contains detailed staining information.

Can EasySep™ separations be automated?

Yes. RoboSep™, the fully automated cell separator, automates all EasySep™ labeling and cell separation steps.

Can EasySep™ be used to isolate rare cells?

Yes. We recommend a cell concentration of 2x108 cells/mL and a minimum working volume of 100 µL. Samples containing 2x107 cells or fewer should be suspended in 100 µL of buffer.

Are the EasySep™ magnetic particles FACS-compatible?

Yes, the EasySep™ particles are flow cytometry-compatible, as they are very uniform in size and about 5000X smaller than other commercially available magnetic beads used with column-free systems.

Can the EasySep™ magnetic particles be removed after enrichment?

No, but due to the small size of these particles, they will not interfere with downstream applications.

Can I alter the separation time in the magnet?

Yes; however, this may impact the kit's performance. The provided EasySep™ protocols have already been optimized to balance purity, recovery and time spent on the isolation.

For positive selection, can I perform more than 3 separations to increase purity?

Yes, the purity of targeted cells will increase with additional rounds of separations; however, cell recovery will decrease.

How does the binding of the EasySep™ magnetic particle affect the cells? is the function of positively selected cells altered by the bound particles?

Hundreds of publications have used cells selected with EasySep™ positive selection kits for functional studies. Our in-house experiments also confirm that selected cells are not functionally altered by the EasySep™ magnetic particles.

If particle binding is a key concern, we offer two options for negative selection. The EasySep™ negative selection kits can isolate untouched cells with comparable purities, while RosetteSep™ can isolate untouched cells directly from whole blood without using particles or magnets.

Publications (6)

Iron deficiency causes aspartate-sensitive dysfunction in CD8+ T cells Nature Communications 2025 Jun

Abstract

Iron is an irreplaceable co-factor for metabolism. Iron deficiency affects >1 billion people and decreased iron availability impairs immunity. Nevertheless, how iron deprivation impacts immune cell function remains poorly characterised. We interrogate how physiologically low iron availability affects CD8+ T cell metabolism and function, using multi-omic and metabolic labelling approaches. Iron limitation does not substantially alter initial post-activation increases in cell size and CD25 upregulation. However, low iron profoundly stalls proliferation (without influencing cell viability), alters histone methylation status, gene expression, and disrupts mitochondrial membrane potential. Glucose and glutamine metabolism in the TCA cycle is limited and partially reverses to a reductive trajectory. Previous studies identified mitochondria-derived aspartate as crucial for proliferation of transformed cells. Despite aberrant TCA cycling, aspartate is increased in stalled iron deficient CD8+ T cells but is not utilised for nucleotide synthesis, likely due to trapping within depolarised mitochondria. Exogenous aspartate markedly rescues expansion and some functions of severely iron-deficient CD8+ T cells. Overall, iron scarcity creates a mitochondrial-located metabolic bottleneck, which is bypassed by supplying inhibited biochemical processes with aspartate. These findings reveal molecular consequences of iron deficiency for CD8+ T cell function, providing mechanistic insight into the basis for immune impairment during iron deficiency. Iron has been shown to be necessary for the activation and differentiation of CD8+ T cells. Here the authors investigate changes in CD8+ T cell metabolism in iron limiting conditions and find that aspartate is increased yet downstream nucleotide synthesis is suppressed and addition of exogenous aspartate partially rescues T cell function.
Activation of the aryl hydrocarbon receptor improves allergen-specific immunotherapy of murine allergic airway inflammation: a novel adjuvant option? Frontiers in Immunology 2024 Jun

Abstract

BackgroundAllergen-specific immunotherapy (AIT) is able to restore immune tolerance to allergens in allergic patients. However, some patients do not or only poorly respond to current treatment protocols. Therefore, there is a need for deeper mechanistic insights and further improvement of treatment strategies. The relevance of the aryl hydrocarbon receptor (AhR), a ligand-dependent transcription factor, has been investigated in several inflammatory diseases, including allergic asthma. However, its potential role in AIT still needs to be addressed.MethodsA murine model of AIT in ovalbumin-induced allergic airway inflammation was performed in AhR-deficient (AhR-/-) and wild-type mice. Furthermore, AIT was combined with the application of the high-affinity AhR agonist 10-chloro-7H-benzimidazo[2,1-a]benzo[de]iso-quinolin-7-one (10-Cl-BBQ) as an adjuvant to investigate the effects of AhR activation on therapeutic outcome.ResultsAlthough AhR-/- mice suffer stronger allergic responses than wild-type mice, experimental AIT is comparably effective in both. Nevertheless, combining AIT with the administration of 10-Cl-BBQ improved therapeutic effects by an AhR-dependent mechanism, resulting in decreased cell counts in the bronchoalveolar fluid, decreased pulmonary Th2 and Th17 cell levels, and lower sIgE levels.ConclusionThis study demonstrates that the success of AIT is not dependent on the AhR. However, targeting the AhR during AIT can help to dampen inflammation and improve tolerogenic vaccination. Therefore, AhR ligands might represent promising candidates as immunomodulators to enhance the efficacy of AIT.
Socioeconomic Status, Lifestyle, and DNA Methylation Age Among Racially and Ethnically Diverse Adults JAMA Network Open 2024 Jul

Abstract

This cohort study explores whether the rate of biological aging estimated by an epigenetic clock is associated with social determinants of health in a racially and ethnically diverse population. Key PointsQuestionIs the rate of biological aging associated with racial and ethnic differences in social determinants of health?FindingsIn a cohort study among 376 Japanese American, Native Hawaiian, and White adults, low neighborhood socioeconomic status (NSES) was associated with a higher rate of biological aging measured by the DunedinPACE epigenetic clock. Accounting for NSES, race and ethnicity was a significant factor in correlations between diet, educational level, and moderate to vigorous physical activity and DunedinPACE scores.MeaningThe findings suggest that individual sociobehavioral factors might mitigate negative associations between NSES and biological aging, with differences by race and ethnicity. ImportanceVariation in DNA methylation at specific loci estimates biological age, which is associated with morbidity, mortality, and social experiences. Aging estimates known as epigenetic clocks, including the Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE), were trained on data predominately from individuals of European ancestry; however, limited research has explored DunedinPACE in underrepresented populations experiencing health disparities.ObjectiveTo investigate associations of neighborhood and individual sociobehavioral factors with biological aging in a racially and ethnically diverse population.Design, Setting, and ParticipantsThis cohort study, part of the Multiethnic Cohort study conducted from May 1993 to September 1996 to examine racial and ethnic disparities in chronic diseases, integrated biospecimen and self-reported data collected between April 2004 and November 2005 from healthy Hawaii residents aged 45 to 76 years. These participants self-identified as of Japanese American, Native Hawaiian, or White racial and ethnic background. Data were analyzed from January 2022 to May 2024.Main Outcomes and MeasuresDNA methylation data were generated from monocytes enriched from cryopreserved lymphocytes and used to derive DunedinPACE scores from November 2017 to June 2021. Neighborhood social economic status (NSES) was estimated from 1990 US Census Bureau data to include factors such as educational level, occupation, and income. Individual-level factors analyzed included educational level, body mass index (BMI), physical activity (PA), and diet quality measured by the Healthy Eating Index (HEI). Linear regression analysis of DunedinPACE scores was used to examine their associations with NSES and sociobehavioral variables.ResultsA total of 376 participants were included (113 [30.1%] Japanese American, 144 [38.3%] Native Hawaiian, and 119 [31.6%] White; 189 [50.3%] were female). Mean (SE) age was 57.81 (0.38) years. Overall, mean (SE) DunedinPACE scores were significantly higher among females than among males (1.28 [0.01] vs 1.25 [0.01]; P = .005); correlated negatively with NSES (R = ?0.09; P = .08), HEI (R = ?0.11; P = .03), and educational attainment (R = ?0.15; P = .003) and positively with BMI (R = 0.31; P < .001); and varied by race and ethnicity. Native Hawaiian participants exhibited a higher mean (SE) DunedinPACE score (1.31 [0.01]) compared with Japanese American (1.25 [0.01]; P < .001) or White (1.22 [0.01]; P < .001) participants. Controlling for age, sex, HEI, BMI, and NSES, linear regression analyses revealed a negative association between educational level and DunedinPACE score among Japanese American (β, ?0.005 [95% CI, ?0.013 to 0.002]; P = .03) and Native Hawaiian (β, ?0.003 [95% CI, ?0.011 to 0.005]; P = .08) participants, yet this association was positive among White participants (β, 0.007; 95% CI, ?0.001 to 0.015; P = .09). Moderate to vigorous PA was associated with lower DunedinPACE scores only among Native Hawaiian participants (β, ?0.006; 95% CI, ?0.011 to ?0.001; P = .005), independent of NSES.Conclusions and RelevanceIn this study of a racially and ethnically diverse sample of 376 adults, low NSES was associated with a higher rate of biological aging measured by DunedinPACE score, yet individual-level factors such as educational level and physical activity affected this association, which varied by race and ethnicity. These findings support sociobehavioral interventions in addressing health inequities.
New look, same high quality and support! You may notice that your instrument or reagent packaging looks slightly different from images displayed on the website, or from previous orders. We are updating our look but rest assured, the products themselves and how you should use them have not changed. Learn more