This page is intended to familiarize Gene Expression Center clients with the many aspects of the various 10X Genomics single cell/single nuclei/spatial transcriptomics assays that are available through the University of Wisconsin-Madison Biotechnology Center. Over the course of this guide, we will go over the available library preparation services and address some frequently-asked questions related to this process. Please see the below tabs to go over each of these topics in detail.
Last updated: 07/01/2022
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Available 10X Genomics kits/library preparation services
A note about these kits: We only maintain a stock of the 3′ Gene Expression kits. For any other assay, we will order the kits specifically for your project. We ask that you provide a funding string at the time we place the order so that we can eventually bill for the cost of the kits even if your project plans do not end up proceeding. While 10X Genomics is usually able to deliver kits a day or two after they are ordered, they do suffer from occasional back-order issues. If this happens, we will keep in touch with you to let you know when we receive the kits, so that you are not bringing over samples on a day when we do not have the reagents to process them.
Single cell/single nucleus 3′ Gene Expression – The standard “workhorse” kit for single cell/nucleus RNA sequencing. The kit employs polyA-based capture of mRNA at the 3′ end to generate dual indexed libraries containing both a cell barcode identifying the cell of origin as well as a unique molecular identifier (UMI), which will be unique to every transcript captured. Add-on modules are available for cell surface protein expression (analogous to CITE-seq), CRISPR/sgRNA screening, and sample multiplexing.
Single cell 5′ Gene Expression/Immune Profiling – This kit also generates single cell RNA-seq libraries through capture at the 5′ end by capturing the TSO sequence added to this end of the transcripts in a template-switching reverse transcription reaction. The main reason to choose this kit over the 3′ Gene Expression kit is the immune repertoire profiling add-on module, which allows for the parallel PCR enrichment and library preparation of B cell/T cell receptor V(D)J sequences. Currently, 10X Genomics only sells these modules for human and mouse V(D)J amplification. Like the 3′ Gene Expression kit, additional add-on modules are available for cell surface protein expression and sample multiplexing. A CRISPR/sgRNA screening module compatible with the 5′ Gene Expression kit is coming soon.
Single nucleus ATAC Sequencing – This kit is used to generate ATAC-seq libraries for measurement of chromatin accessibility at single-nucleus resolution.
Single nucleus Multiome ATAC + Gene Expression – This kit uses gel beads with capture oligos for both mRNA polyA tails and transposed DNA for the parallel preparation of ATAC-seq and 3′ Gene Expression libraries from the same nucleus. At approximately the mid-point of the library preparation process, the samples undergo an initial PCR amplification to produce sufficient material for library construction, and the pool is then split to produce ATAC-seq and gene expression libraries from the same initial sample. Note that due to differences in the required sequencing parameters, ATAC-seq and gene expression libraries cannot currently be sequenced on the same flow cell; as a result, the sequencing costs will be approximately double what they would be for the standalone ATAC or gene expression assays.
Visium Spatial Transcriptomics (Fresh frozen) – In this workflow, OCT-embedded tissues are cryosectioned and transferred on to a slide containing four capture areas. Within each capture area are approximately 5,000 spatially-barcoded spots. Over the course of the experiment, the tissue placed above these spots will be permeabilized, and polyA transcripts will be bound by the capture oligos within the spots, allowing users to map the location of transcripts within an image of the H&E-stained tissue. Each spot is approximately 55 microns in diameter and therefore this assay is not considered to have single cell resolution, although the forthcoming updated version “Visium HD” will reportedly feature this. Visium projects are handled in collaboration with the UW-Madison TRIP Lab, which handles the parts of the library preparation involving the tissue sections.
Visium Spatial Transcriptomics (FFPE) – Due to the likelihood of RNA degradation in FFPE-preserved tissues, this version of Visium uses a dual probe-based method of capturing transcripts and is currently only available for human and mouse. When both probes are able to bind to their adjacent target sites, they are ligated together, and this ligated probe construct becomes the template for capture on the Visium slide and subsequent library preparation. Before starting the Visium FFPE workflow, an RNA quality assessment is performed to determine the fraction of RNA in the sample that is above 200 bp in length (“DV200”); for best results, this value should be at least 50%. This assessment can also be done by the GEC for users who lack access to an instrument such as the Bioanalyzer or Tapestation. As with fresh frozen Visium, the work with the tissue sections is done by the TRIP Lab.
Information on the probe sets and the number of targeted genes can be found here.
(The images in this section were taken from their respective User Guides provided on the 10X Genomics website.)
How do I schedule a submission for a single cell project?
For most projects, you can e-mail us at firstname.lastname@example.org to schedule a submission. We do not currently use iLab or any similar service for scheduling. Please give us at least one week’s notice, as staff may already have their projects scheduled for the week. Outside of our peak busy season in November and December, there is generally not too much risk of scheduling conflicts, but we advise you to schedule your submission with us as early as possible to try to ensure that your desired submission window is available.
For Visium projects, scheduling is primarily handled by the UW Madison TRIP lab, since the tissue will be submitted to their lab.
How does the single cell capture work in the 10X Genomics workflows?
10X Genomics uses a droplet-based method of cell capture. The Chromium instrument uses single-use microfluidic chips to combine the gel beads bearing the capture oligos with partitioning oil, the reverse transcription master mix, and the cells into a unit called a gel bead-in-emulsion, or GEM. In order to limit the number of GEMs containing multiple cells (called multiplets), the cells are delivered at such a limiting dilution that the majority of GEMs will contain no cells at all. Importantly, the capture efficiency of this process is such that only about 60-65% of the cells loaded into the assay will be captured – i.e. to capture 10,000 cells, we will load approximately 16,500.
How many cells are needed, and at what concentration?
When possible, we ask for a minimum of 100,000 cells at a concentration of around 700 – 1,200 cells/uL. Under these conditions, it is typically possible to count the sample twice (at minimum), load the assay to target anywhere in the 500 – 10,000 cells per sample capture range, and repeat the run if needed in the rare event of a clog in the microfluidics of the chip.
If you are sorting samples prior to bringing them to the GEC, we ask that you sort at least 150,000 – 200,000 cells, if possible. Sorted samples often need to be concentrated to be used for single cell submissions, and due to the loss of cells from the harsh nature of the sort and the concentration process, it is typical for the number of cells we measure on the Countess to be approximately 50% of the number of “sorted events” reported by the Flow lab.
When the number of available cells is around 50,000 or less, it becomes increasingly difficult to obtain duplicate counts and load the assay (especially if you are hoping to target the high end of the capture range), and it becomes more likely that we will not have the volume to repeat the run if we do experience a clog. For cases where you are able to sort a small number of cells (~10,000 or less), we can do a “sort-and-load” run where the cells are sorted into a small volume and loaded directly into the assay without measuring them on the Countess. We can approximate the number of captured cells based on the volume and the number of sorted events, although this approach carries risks with not being able to assess their quality before loading.
Related document(s): 3’ v3.1 cell concentration versus cells per sample table (from the 3’ v3.1 Dual Index User Guide, Rev A)
How should samples be prepared for submission to the Gene Expression Center?
Due to sample type-specific characteristics, we currently leave the preparation of single cell or single nuclei suspensions to the submitting lab. In the related documents below, you will find links to a number sample prep resources from 10X Genomics. Additionally, the Worthington Tissue Disassociation Database is a great resource, with protocols for many different tissues and species. As you are developing your protocol, we are happy to schedule “mock” measurements with you to look at your samples on the Countess and get a sense of where they are at in terms of concentration and viability/quality.
When preparing your samples, it is important that they are delivered in buffer that is free of any components that might inhibit the reverse transcription reaction (e.g. EDTA at concentrations above 0.1 mM). 10X Genomics recommends PBS with 0.04% BSA, if possible.
Ideally the cell viability for your samples should be above 90%. Due to the high costs of the reagents for these preps, we caution against proceeding with samples below 75% viability, as it becomes increasingly difficult to hit our cells per sample target and the level of background from “ambient” RNA increases (more on that further down this page).
10X Genomics recently released a kit for nuclei isolation that is reported to be compatible with a wide variety of sample types. It is our hope that in the near future we will be able to assess this kit and potentially offer this as a service for projects requiring single nuclei instead of single cells. Similarly, we are in the process of developing a workflow to work with frozen cells, which we hope to offer eventually as well.
10X Genomics Single Cell Protocols: Cell Preparation Guide
What buffers can be used for washing and cell resuspension?
How can I isolate nuclei for 3’ Gene Expression profiling?
What are the best practices for working with nuclei samples for 3’ single-cell gene expression?
Are RNase inhibitors required in the preparation of my sample?
What are the limits on the number of samples per run? How many cells per sample can be captured?
For the Chromium Controller currently housed in the GEC, the compatible 10X Genomics chips can hold eight samples per run. We can run consecutive chips to process more than eight samples in a project, although the need to obtain reliable counts on every sample prior to loading means that increasing the number of samples risks extending the time the samples are sitting on ice to the point where the quality may begin to drift in unpredictable ways. The scaling costs of the reagents and the required sequencing (more on this below) also pose challenges to many labs.
In the standard-throughput assays, for non-multiplexed samples, the optimized range for capture is 500 – 10,000 cells per sample. If the volume of cells permits, the same sample can be loaded into multiple lanes of a chip to increase the number of cells captured, although each lane used will incur an additional sample’s worth of reagent costs. As discussed below in the section on sample multiplexing, the number of cells captured in a given channel can be pushed above 10,000, though there are some potential drawbacks.
If your experience with bulk RNA sequencing has led you to plan for a large number of biological replicate samples, this may also not be necessary. While the standards of the field are constantly evolving, much of the replication in a single cell experiment comes from the cells themselves, and including multiple biological replicates may not strictly be necessary to obtain valuable, useful data. We encourage you to look at current publications in your field, especially those in journals that you might seek to publish your work in eventually, for insight into how many replicates you should include. The Bioinformatics Resource Center here at UWBC is also a fantastic resource for this aspect of your experimental design.
If you do find yourself considering a large number of samples for your initial single cell experiment, we would strongly encourage you to first plan for a small pilot experiment with 1-2 samples, if time permits. While it will add additional upfront costs to your project, you can learn a lot about how effective your sample prep process is; how your cells behave in the assay; and what read depth is sufficient to get the answers to your experimental questions – all factors that can potentially offer ways to better design your larger experiment to get the best value for your money.
What options are available for sample multiplexing?
There are currently two main options available for cell multiplexing. The first is hashing, which involves staining cells with antibodies conjugated to hashtag oligos that are captured during the same process that captures transcripts from the cell. BioLegend’s TotalSeq B and C product lines are designed to be natively compatible with the 3’ and 5’ gene expression assays, respectively, and if you wish to use hashing we strongly suggest you use either TotalSeq B or C if possible. The TotalSeq A product line is also possible to use, although this requires the use of additional reagents from other vendors (custom oligos and master mix) and “off-protocol” work.
10X Genomics also offers a lipid-based multiplexing solution called CellPlex that is currently only compatible with the 3’ gene expression assay. As it relies on tagging the cell membrane with lipid-conjugated oligo tags, this assay is highly sensitive to cell viability, and as a 10X Genomics product it is also quite expensive. If you wish to try this, we strongly recommend working with us to schedule mock measurements as you develop your single cell suspension protocol to ensure that you have 90%+ viability.
With these multiplexing options, 10X Genomics indicates that it is possible to capture up to 30,000 cells in a single channel, although the multiplet rate (the proportion of GEMs containing multiple cells) will rise accordingly, from ~8% at 10,000 cells to ~24% at 30,000 cells, potentially decreasing the number of usable cells recovered in the assay. In the GEC, our current record for the most cells per channel we have targeted and successfully captured is 16,000 cells.
How do batch submissions work (e.g. for time course experiments)?
For the 3’ and 5’ gene expression assays, the assay has two main pause points within the workflow. After the reverse transcription reaction, the samples are stored at -20C, where they are considered stable for one week. On the next day of work, they will be taken up through the cDNA amplification and cleanup, after which they are considered stable for four weeks.
Either of these stopping points can be an opportunity to merge batches together to save money on labor/consumables costs, although the initial portion(s) of the prep that cannot be batched will still carry their own costs for labor and consumables. If you are able to bring batches to us within a week of the initial submission, we can batch them together for day two and onward; if you need more time between batches, we can batch them together for the final day of library construction if they are submitted within four weeks of the first batch.
The other assays have similar batching opportunities. For the current version of the ATAC protocol (v1.1), the samples can be stored at -20C for one week after the initial Chromium instrument run and GEM incubation, and we can also pause after the following cleanup step for two weeks if needed. For the multiome protocol, the samples are stored at -80C for up to four weeks after the reverse transcription reaction, and then as it splits into the gene expression and ATAC library prep there are similar pause points, providing ample opportunities for batching.
In all cases, the final libraries are considered stable indefinitely at -20C, so even if we are unable to batch them for library construction, you can hold samples for later sequencing if you plan to submit additional samples down the line.
How long does it take to get sequencing data? What are the QC checkpoints during the prep?
As discussed in the batching section, most of the 10X Genomics library preps are split into three days. Preparation of single nuclei ATAC libraries typically takes two days, while Multiome projects or projects with add-ons such as feature barcoding/cell surface protein libraries may require an extra day to finish the additional set of libraries. Though we try to work through this process as quickly as possible, these three days of work may occasionally be spread over a slightly longer period depending on our current workload and staffing situation at the time of submission.
Once we are finished with the libraries, we will pass them to the DNA Sequencing facility for a relatively low-depth MiSeq sequencing run, which provides important library QC information. The turnaround time for the MiSeq tends to be approximately 3-5 business days. Depending on the type of library, we may then send you a summary of the MiSeq data and a recommendation for or against proceeding with the NovaSeq. At this point we will wait for confirmation from you before we submit paperwork to DNA Sequencing to move the samples into the NovaSeq queue. ATAC and Visium libraries will typically go directly into the NovaSeq queue after the MiSeq is completed. The typical turnaround time for NovaSeq data is approximately 1-2 weeks.
Throughout this process we will have four QC checkpoints. The first is the examination of the cells/nuclei on our Countess II cell counter, where we will assess factors such as viability, proportion of single cells versus aggregates, presence of debris, etc. Proceeding beyond this point commits you to the cost of the reagents for the library prep, even if the samples fail at a later checkpoint. The second QC checkpoint is the cDNA yield at the end of the second section of the library prep. Though this is highly variable depending on the cell type and sample condition, very low cDNA yield can be an indicator of poor quality initial samples or issues with the sample prep process. Unfortunately this result can occasionally occur even with cells that look intact on the Countess II, an outcome that seems to correlate with excessively lengthy or stressful sample prep conditions.
The third QC checkpoint is the final library QC, during which we will measure the library yield and evaluate the libraries on the Agilent Tapestation. In almost all cases where the cDNA yield was good, the final library QC will look fine. The final QC checkpoint is the MiSeq data.
How does the initial analysis of the NovaSeq data work?
The first step involved in the analysis will be to run the data through the Cell Ranger pipeline available from 10X (or the Space Ranger pipeline for Visium data). In addition to providing QC data from the libraries, this pipeline will perform the clustering of cells within the data. The results can be visualized in 10X’s free Loupe Browser software. 10X Genomics has some very handy tutorials for learning how Cell Ranger and Loupe Browser work, complete with example data sets for you to practice with.
Please understand: GEC staff are not trained bioinformaticians, and we are not involved in the downstream sequencing data analysis. We can discuss some of the QC aspects of the results and offer our interpretation, but we strongly encourage you to take advantage of the UWBC Bioinformatics Resource Center’s analysis service for the initial Cell Ranger pipeline, even if you or a colleague are familiar with these data sets. In addition to the Cell Ranger service being relatively inexpensive compared to the rest of the costs for the project, the BRC’s knowledge and experience will be of much more use to you if the analysis requires any troubleshooting with libraries from lower quality samples.