Shared resource lab (SRL) strategies for supporting high-dimensional cytometry data analysis.

With the increase in the number of parameters that can be detected at the single-cell level using flow and mass cytometry, there has been a paradigm shift when handling and analyzing data sets. Cytometry Shared Resource Laboratories (SRLs) already take on the responsibility of ensuring users have resources and training in experimental design and operation of instruments to promote high-quality data acquisition. However, the role of SRLs downstream, during data handling and analysis, is not as well defined and agreed upon. Best practices dictate a central role for SRLs in this process as they are in a pivotal position to support research in this context, but key considerations about how to effectively fill this role need to be addressed. Two surveys and one workshop at CYTO 2022 in Philadelphia, PA, were performed to gain insight into what strategies SRLs are successfully employing to support high-dimensional data analysis and where SRLs and their users see limitations and long-term challenges in this area. Recommendations for high-dimensional data analysis support provided by SRLs will be offered and discussed.

Establishing a biosafety plan for a flow cytometry shared resource laboratory.

A biosafety plan is essential to establish appropriate practices for biosafety in a shared resource laboratory (SRL). A biosafety plan will contain the essential information for the use of biological samples on specific instrumentation, their apparent risks, and the steps that should be taken to mitigate these risks. Establishment of a biosafety plan can be a daunting task as the variety of pathogens that come through the SRL is highly diverse and may change over time; however, having a plan that can adapt to this variety will provide a framework for addressing concerns and educating personnel and users on biosafety practices. Using resources available at your institution and developing a robust relationship with health and safety personnel at your institution is key to generating an effective biosafety plan. Here we provide a basic underlying structure for a biosafety plan to aid SRL personnel in generating or maintaining their biosafety procedures, and provide guidance for establishing a dynamic, living biosafety plan.

Optimizing Flow Cytometric Analysis of Immune Cells in Samples Requiring Cryopreservation from Tumor-Bearing Mice.

Most shared resource flow cytometry facilities do not permit analysis of radioactive samples. We are investigating low-dose molecular targeted radionuclide therapy (MTRT) as an immunomodulator in combination with in situ tumor vaccines and need to analyze radioactive samples from MTRT-treated mice using flow cytometry. Further, the sudden shutdown of core facilities in response to the COVID-19 pandemic has created an unprecedented work stoppage. In these and other research settings, a robust and reliable means of cryopreservation of immune samples is required. We evaluated different fixation and cryopreservation protocols of disaggregated tumor cells with the aim of identifying a protocol for subsequent flow cytometry of the thawed sample, which most accurately reflects the flow cytometric analysis of the tumor immune microenvironment of a freshly disaggregated and analyzed sample. Cohorts of C57BL/6 mice bearing B78 melanoma tumors were evaluated using dual lymphoid and myeloid immunophenotyping panels involving fixation and cryopreservation at three distinct points during the workflow. Results demonstrate that freezing samples after all staining and fixation are completed most accurately matches the results from noncryopreserved equivalent samples. We observed that cryopreservation of living, unfixed cells introduces a nonuniform alteration to PD1 expression. We confirm the utility of our cryopreservation protocol by comparing tumors treated with in situ tumor vaccines, analyzing both fresh and cryopreserved tumor samples with similar results. Last, we use this cryopreservation protocol with radioactive specimens to demonstrate potentially beneficial effector cell changes to the tumor immune microenvironment following administration of a novel MTRT in a dose- and time-dependent manner.

Effect of sorting boar spermatozoa by sex chromosomes on oviduct cell binding.

This study examined the hypothesis that flow sorting sperm by sex chromosomes affects oviduct cell binding which would influence formation of the sperm reservoir in the oviduct. The sperm-rich fraction from boars (n = 5) was collected, sperm were stained with Hoechst 33342 and sorted. Sperm were sorted based on the presence of either an X or Y chromosome and placed into the following treatments: 1) sperm selected for the Y chromosome, 2) selected for the X, 3) an equal mixture of sorted X and Y, and 4) a control of non-sorted sperm from the same collection. Samples were tested for oviduct cell binding within 12 h of sorting. Additionally, sperm were analyzed for motility characteristics, acrosome status, and binding to the two oviduct glycan motifs that bind porcine sperm, biantennary 6-sialylated N-acetyllactosamine on a mannose core (bi-SiaLN) and sulfated LeX trisaccharide (suLeX). The disaccharide found within both glycan motifs, N-acetyllactosamine (LacNAc), was used as a control. Sperm binding to oviduct cells was reduced by more than half in the three sorted samples when compared to the control sperm that were not sorted. The percentage of sperm that were motile 24 h after sorting was also decreased significantly in each of the sorted sample groups when compared to the unsorted control. In contrast, sorting did not decrease the percentage of sperm that bound purified soluble glycans or the location on sperm to which they bound. There was also no difference in sperm acrosome status among the four groups. In summary, sorting reduced sperm binding to the complex matrix around oviductal cell aggregates but sperm binding to purified soluble oviduct glycans was not affected. The requirement for higher affinity and motility to bind glycans immobilized on oviduct cells may explain this difference. The reduction in sperm fertility observed following sex-sorting may be explained partially by a reduced or altered ability to bind to the oviduct epithelium.

Gene related to anergy in lymphocytes (GRAIL) expression in CD4+ T cells impairs actin cytoskeletal organization during T cell/antigen-presenting cell interactions.

GRAIL (gene related to anergy in lymphocytes), is an E3 ubiquitin ligase with increased expression in anergic CD4+ T cells. The expression of GRAIL has been shown to be both necessary and sufficient for the induction of T cell (T) anergy. To date, several subsets of anergic T cells have demonstrated altered interactions with antigen-presenting cells (APC) and perturbed TCR-mediated signaling. The role of GRAIL in mediating these aspects of T cell anergy remains unclear. We used flow cytometry and confocal microscopy to examine T/APC interactions in GRAIL-expressing T cells. Increased GRAIL expression resulted in reduced T/APC conjugation efficiency as assessed by flow cytometry. Examination of single T/APC conjugates by confocal microscopy revealed altered polarization of polymerized actin and LFA-1 to the T/APC interface. When GRAIL expression was knocked down, actin polarization to the T/APC interface was restored, demonstrating that GRAIL is necessary for alteration of actin cytoskeletal rearrangement under anergizing conditions. Interestingly, proximal TCR signaling including calcium flux and phosphorylation of Vav were not disrupted by expression of GRAIL in CD4+ T cells. In contrast, interrogation of distal signaling events demonstrated significantly decreased JNK phosphorylation in GRAIL-expressing T cells. In sum, GRAIL expression in CD4+ T cells mediates alterations in the actin cytoskeleton during T/APC interactions. Moreover, in this model, our data dissociates proximal T cell signaling events from functional unresponsiveness. These data demonstrate a novel role for GRAIL in modulating T/APC interactions and provide further insight into the cell biology of anergic T cells.