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* These authors contributed equally
This protocol outlines the procedure for rapidly dissociating human and mouse tumor samples for single-cell RNA sequencing.
Human tumor samples hold a plethora of information about their microenvironment and immune repertoire. Effective dissociation of human tissue samples into viable cell suspensions is a required input for the single-cell RNA sequencing (scRNAseq) pipeline. Unlike bulk RNA sequencing approaches, scRNAseq enables us to infer the transcriptional heterogeneity in tumor specimens at the single-cell level. Incorporating this approach in recent years has led to many discoveries, such as identifying immune and tumor cellular states and programs associated with clinical responses to immunotherapies and other types of treatments. Moreover, single-cell technologies applied to dissociated tissues can be used to identify accessible chromatin regions T and B cell receptor repertoire, and the expression of proteins, using DNA barcoded antibodies (CITEseq).
The viability and quality of the dissociated sample are critical variables when using these technologies, as these can dramatically affect the cross-contamination of single cells with ambient RNA, the quality of the data, and interpretation. Moreover, long dissociation protocols can lead to the elimination of sensitive cell populations and the upregulation of a stress response gene signature. To overcome these limitations, we devised a rapid universal dissociation protocol, which has been validated on multiple types of human and murine tumors. The process begins with mechanical and enzymatic dissociation, followed by filtration, red blood lysis, and live dead enrichment, suitable for samples with a low input of cells (e.g., needle core biopsies). This protocol ensures a clean and viable single-cell suspension paramount to the successful generation of Gel Bead-In Emulsions (GEMs), barcoding, and sequencing.
Although many advancements in cancer research have led to the development and FDA approval of agents targeting inhibitory receptors expressed on immune and tumor cells, known as checkpoint blockade inhibitors, therapy resistance and identifying mechanisms that drive patient response remain challenging1. The complex challenge of characterizing tumor heterogeneity on its molecular diversity and the intricate interplay between tumor cells and the immune microenvironment necessitates new approaches to dissect this complex ecosystem at the single-cell resolution. Understanding the molecular intricacies within tumors and their microenvironments is pivotal for advancing therapeutic strategies and deciphering the complex biology underlying cancer progression2. Single-cell RNA sequencing (scRNA-seq) has become increasingly popular because it provides high-resolution analysis of individual cells within complex tumor samples3,4.
Tumor heterogeneity, encompassing genetic, epigenetic, and phenotypic diversities, poses a challenge in uncovering the intricacies of cancer biology5. The conventional methods of bulk RNA sequencing tend to obscure the unique expression profiles and phenotypes of heterogeneous cell populations present within tumors, as these methods average signals across entire cell populations4. In contrast, scRNA-seq allows the dissection of individual cell types, revealing diverse gene expression, repression patterns, and cellular states otherwise overlooked4,6. The premise of scRNA-seq lies in its capacity to decode individual cells' genetic and molecular signatures, holding immense promise in discovering new cancer therapeutics7.
By deciphering the gene expression profiles of tumor cells and the surrounding stromal and immune cells, researchers can identify novel therapeutic targets and develop precision genetic medicine strategies tailored to individual patients6. Furthermore, dissecting the immune repertoire within the tumor microenvironment provides crucial insights into the interplay between tumor cells and immune effectors, paving the way for immunotherapeutic interventions3. Despite advances in using scRNAseq on clinical samples, several challenges during the processing steps can harm the cell's RNA integrity, viability, and quality of the data generated. Moreover, processing tissue with low cell viability can increase ambient RNA levels in the droplets generated during the encapsulation of individual cells, resulting in cross-contamination and incorrect annotation of cell types, while long dissociation protocols performed at 37 °C can lead to the upregulation of a stress response gene signature in multiple cell types8,9,10.
The stepwise procedure (Figure 1A) outlined in this protocol commences with rapid mechanical and enzymatic dissociation of tumors, followed by filtration and the removal of dead cells, depending on the viability of each tumor sample. At present, this procedure has been verified in melanoma11, colorectal12, head and neck squamous cell carcinoma13, pancreatic and lung (unpublished data) tumor samples. These techniques ensure the generation of high-quality viable cell suspensions crucial for downstream analyses14. Notably, removing red blood cells, devoid of synthesized RNA, becomes imperative to purify the sample15. Subsequent evaluation of cell counts and the elimination of dead cells serve as a prerequisite for successful 10x Genomics Gel bead-in Emulsion (GEM) generation, barcoding, and increase the recovery of transcripts and sequenced cells without jeopardizing the exclusion of sensitive populations (e.g., neutrophils and epithelial cells)16. These steps are fundamental in unlocking the potential of single-cell resolution analysis within tumor samples9,10, uncovering novel gene expression profiles and immune signatures necessary for driving innovative therapeutic interventions, and identifying new tumor vulnerabilities.
This study complied with all institutional guidelines regarding human tissue sampling. Informed consent was received from patients, and identifiable sample data was anonymized. Samples are collected in the operation room, placed in a solution of RPMI, saline, or PBS, and confirmed cancerous via the pathology department before use in research. All steps, except when indicated, should be carried out at 4 °C or on ice. Work inside a biosafety hood when processing human tissue. See the Table of Materials for details on all materials, reagents, and instruments used in this protocol.
1. Obtaining the sample
2. Mechanical and enzymatic digestion
3. Sample filtering
4. Red blood cell lysis
5. Cell counting
6. Dead cell removal - Kit 1
NOTE: Work inside a biosafety hood when using the dead cell removal reagents, as these can easily get contaminated.
7. Dead cell removal - Kit 2
NOTE: Work inside a biosafety hood when using the kit reagents.
A melanoma biopsy suspended in RPMI was obtained and immediately placed on ice. The sample was transferred into a 1.5 mL microcentrifuge tube containing 420 µL of RPMI and digestion enzymes, minced into small pieces using scissors, and subjected to subsequent enzymatic digestion for 15 min in a 37 ˚C vertically positioned thermal mixer (Figure 1). Following digestion, the sample was filtered through a 50 µm sterile disposable filter, and the filter was washed with fresh RPMI t...
This protocol describes human or murine tumor samples dissociation into a single-cell suspension for scRNA sequencing using the 10x Genomics microfluidic system. In processing tissues that often come from rare cancers or are part of ongoing clinical trials or long experiments for murine tumors, the sample must be optimally and carefully preserved between all steps. All steps should be carried out rapidly on ice or at 4 ˚C to keep the native cellular RNA profiles and prevent degradation, as working at room temperatur...
M.S-F. received funding from Bristol Myers-Squibb, Istari Oncology, and was a consultant for Galvazine Therapeutics.
This study was supported by the Adelson Medical Research Foundation (AMRF), the Melanoma Research Alliance (MRA), and U54CA224068. Figure 1, Figure 4, and Figure 5 were created with BioRender.com.
Name | Company | Catalog Number | Comments |
1x PBS | Corning | 21-040-CV | |
10 mL serological pipette | Corning | 357551 | |
1000 μL low-retention pipette tips | Rainin | 30389213 | |
1000 μL low-retention wide pipette tips | Rainin | 30389218 | |
1000 μL pipette tips | Rainin | 30389212 | |
10x Magnetic Separator | 10x Genomics | 120250 | |
15 mL conical tubes | Corning | 430052 | |
2 mL aspirating pipette | Corning | 357558 | |
20 μL low-retention pipette tips | Rainin | 30389226 | |
20 μL pipette tips | Rainin | 30389225 | |
200 μL low-retention pipette tips | Rainin | 30389240 | |
200 μL pipette tips | Rainin | 30389239 | |
50 mL Polypropylene Conical Tube | Falcon | 352098 | |
60 x 15 mm Tissue Culture Dish | Falcon | 353004 | |
ACK Lysing Buffer | Gibco | A10492-1 | |
BD 1 mL syringe | Becton, Dickinson and Company | 3090659 | |
Bright-Line Hemocytometer | Hausser Scientific | 551660 | |
Calcium Chloride Solution | Sigma Aldrich | 2115-100ML | |
Cell Ranger | 10x Genomics | N/A | https://www.10xgenomics.com/support/software/cell-ranger/latest |
Cell counting slides for TC20 cell counter | Bio-Rad | 1450015 | |
CellTrics 30μm sterile disposable filters | Sysmex | 04-004-2326 | |
CellTrics 50μm sterile disposable filters | Sysmex | 04-004-2327 | |
Dead Cell removal Kit | Miltenyi Biotec | 130-090-101 | Store at -20 °C; kit 2 |
Dissecting Forceps, Fine Tip | VWR | 82027-386 | |
DNA LoBind Microcentrifuge tubes, 1.5 mL | Eppendorf | 22431021 | |
EasySepTM Dead Cell Removal (Annexin V) Kit | STEMCELL Technologies | 17899 | Store at 4 °C; Kit 1 |
Eppendorf centrifuge 5425R | Eppendorf | 5406000640 | |
Eppendorf centrifuge 5910R | Eppendorf | 2231000657 | |
Eppendorf Easypet 3 Electronic Pipette controller | Eppendorf | EP4430000018 | |
Eppendorf Thermomixer F1.5 Model 5384 | Eppendorf | EP5384000012 | |
FBS | Gibco | 26140-079 | Store at 4 °C, use in a Biological hood |
German Stainless Scissors | Fine Science Tools | 14568-12 | |
Leica Dmi1 Microscope | Leica Microsystems | 454793 | |
LS Column | Miltenyi Biotec | 130-042-401 | |
MACS Multistand | Miltenyi Biotec | 130-042-303 | |
Pipet-Lite LTS Pipette L-1000XLS+ | Rainin | 17014382 | |
Pipet-Lite LTS Pipette L-200XLS+ | Rainin | 17014391 | |
Pipet-Lite LTS Pipette L-20XLS+ | Rainin | 17014392 | |
Quadro MACS Magnet | Miltenyi Biotec | 130-091-051 | |
RPMI Medium 1640 (1x) | Gibco | 21870-076 | Store at 4 °C |
TempAssure 0.2 mL PCR 8-Tube strips | USA Scientific | 1402-4700 | |
Trypan blue stain 0.4% | Thermo Fisher Scientific | T10282 | |
Tumor Dissociation Kit, Human | Miltenyi Biotec | 130-095-929 | Store at -20 °C, prepare enzymes according to kit instructions: Reconstitute lyophilized Enzyme H vial in 3 mL of RPMI 1640 Reconstitute lyophilized Enzyme R vial in 2.7 mL of RPMI 1640 Reconstitute lyophilized Enzyme A vial in 1 mL of Buffer A supplied with the kit. |
Tumor Dissociation Kit, Mouse | Miltenyi Biotec | 130-096-730 | Store at -20 °C, prepare enzymes according to kit instructions: Reconstitute lyophilized Enzyme D vial in 3 mL of RPMI 1640 Reconstitute lyophilized Enzyme R vial in 2.7 mL of RPMI 1640 Reconstitute lyophilized Enzyme A vial in 1 mL of Buffer A supplied with the kit. |
UltraPure Distilled Water | Invitrogen | 10977-015 | Store at 4 °C |
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