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The biology of intermuscular adipose tissue (IMAT) is largely unexplored due to the limited accessibility of human tissue. Here, we present a detailed protocol for nuclei isolation and library preparation of frozen human IMAT for single nuclei RNA sequencing to identify the cellular composition of this unique adipose depot.
Intermuscular adipose tissue (IMAT) is a relatively understudied adipose depot located between muscle fibers. IMAT content increases with age and BMI and is associated with metabolic and muscle degenerative diseases; however, an understanding of the biological properties of IMAT and its interplay with the surrounding muscle fibers is severely lacking. In recent years, single-cell and nuclei RNA sequencing have provided us with cell type-specific atlases of several human tissues. However, the cellular composition of human IMAT remains largely unexplored due to the inherent challenges of its accessibility from biopsy collection in humans. In addition to the limited amount of tissue collected, the processing of human IMAT is complicated due to its proximity to skeletal muscle tissue and fascia. The lipid-laden nature of the adipocytes makes it incompatible with single-cell isolation. Hence, single nuclei RNA sequencing is optimal for obtaining high-dimensional transcriptomics at single-cell resolution and provides the potential to uncover the biology of this depot, including the exact cellular composition of IMAT. Here, we present a detailed protocol for nuclei isolation and library preparation of frozen human IMAT for single nuclei RNA sequencing. This protocol allows for the profiling of thousands of nuclei using a droplet-based approach, thus providing the capacity to detect rare and low-abundant cell types.
Intermuscular adipose tissue (IMAT) is an ectopic adipose depot residing between and around muscle fibers1. As described in detail in a recent review by Goodpaster et al., IMAT can be detected using high-resolution computed tomography (CT) and magnetic resonance imaging (MRI) (Figure 1A,B) and is found around and within muscle fibers throughout the entire body1. The quantity of IMAT varies greatly between individuals and is influenced by BMI, age, sex, race, and sedentariness2,3,4. ....
The sample used for this protocol was part of the Study of Muscle, Mobility, and Aging (SOMMA)15, which was approved by the Western IRB-Copernicus Group (WCG) Institutional Review Board and was carried out in accordance with the Declaration of Helsinki. Participants provided written informed consent for their participation in the study.
NOTE : This protocol is adapted from a previous protocol using 100 mg of human abdominal subcutaneous adipose tissue on a na.......
This workflow was designed to guide the processing of frozen human IMAT samples to obtain gene expression profiles at single nuclei resolution, enabling cell type identification. Here, one representative IMAT sample from a participant in the SOMMA study is presented.
The first step of any analysis of snRNA-seq data is to evaluate the quality of the data to identify poor-quality nuclei, which should potentially be removed from the dataset. Importantly, the filtering steps and thresholds should .......
There are several inherent challenges to working with IMAT. In addition to its limited accessibility, the yield of sample material is often very scarce, and "contamination" of skeletal muscle is almost impossible to avoid. To obtain the best quality sample, one should penetrate the muscle fascia when inserting the biopsy needle (to make sure not to collect subcutaneous adipose tissue) and remove as much muscle tissue as possible by dissecting the sample under a microscope immediately after collection, followed by.......
The authors would like to acknowledge Bryan Bergman, PhD at University of Colorado for providing the image of the IMAT biopsy in Figure 1C from the MoTrIMAT study (R01AG077956). We are grateful for the Study of Muscle, Mobility and Aging providing the IMAT sample from which data is shown in the representative results section. The National Institute on Aging (NIA) funded the Study of Muscle, Mobility and Aging (SOMMA; R01AG059416) and its ancillary studies SOMMA AT (R01AG066474) and SOMMA Knee OA (R01AG070647). Study infrastructure support was funded in part by NIA Claude D. Pepper Older American Independence Centers at University of Pittsburgh (P30AG024827) and Wake F....
Name | Company | Catalog Number | Comments |
0.2 µm corning syringe filters | Millipore Sigma | CLS431229 | |
1.7 mL DNA LoBind tubes | Eppendorf | 22431021 | low-bind tubes |
10% Tween 20 | Bio-Rad | 1662404 | |
100x protease inhibitor | Thermo Fisher Scientific | 78437 | |
10X Magnetic Separator | 10X Genomics | 230003 | |
10X Vortex Adapter | 10X Genomics | 330002 | |
15 mL canonical tubes | Sarstedt | 6,25,54,502 | |
2100 Bioanalyzer | Agilent | G2939BA | |
50 mL conical tubes | Sarstedt | 6,25,47,254 | |
CellRanger | Genomics | N/A | |
Chromium iX accesory kit | 10X Genomics | PN1000323 | |
Chromium iX Controller | 10X Genomics | PN1000326 | |
Chromium Next GEM Chip G Single Cell Kit | 10X Genomics | PN1000127 | |
Chromium Next GEM Single Cell 3' Kit v 3.1 | 10X Genomics | PN1000269 | |
Chromium Next GEM Single Cell 3' Gel Bead Kit v3.1 | 10X Genomics | PN1000129 | |
Chromium Next GEM Single Cell GEM Kit v3.1 | 10X Genomics | PN1000130 | |
Countess 3 Automated Cell Counter | Thermo Fisher Scientific | AMQAX2000 | Automated cell counter |
Countess cell counting chamber slides | Thermo Fisher Scientific | C10228 | |
DoubletFinder | R | N/A | |
DPBS (no calcium, no magnesium) | Thermo Fisher Scientific | 14190144 | |
DTT | Thermo Fisher Scientific | R0861 | |
Dual Index Kit TT Set A, 96 rxns | 10X Genomics | PN1000215 | |
Dynabeads MyOne SILANE | 10X Genomics | PN2000048 | |
Falcon 100 µm Cell strainer | Corning Life Science | 352360 | |
Falcon 40 µm Cell strainer | Corning Life Science | 352340 | |
Glycerin (glycerol), 50% (v/v) Aqueous Solution | Ricca Chemical Company | 3290-32 | |
KCL | Thermo Fisher Scientific | AM9640G | |
Library Construction Kit v3.1 | 10X Genomics | PN1000196 | |
MACS SmartStrainers (30µm) | Miltenyi Biotec | 130-098-458 | |
Mastercycler Nexus Gradient Thermal cycler | Eppendorf | 6331000017 | |
MgCl2 | Ambion | AM9530G | |
Mortar and pestel | Health care logistics | 14075 | |
NucBlue Live Ready Probes Reagent | Thermo Fisher Scientific | R37605 | |
Nuclease Free Water (not DEPC treated) | Thermo Fisher Scientific | AM9930 | |
Probumin Bovine Serum Albumin Fatty Acid Free, Powder | Sigma-Aldrich | 820024 | |
Qiagen Buffer EB | Qiagen | 19086 | |
Ribolock RNAse inhibitor | Thermo Fisher Scientific | EO0382 | |
Seurat | R | N/A | |
Sucrose | Sigma-Aldrich | S0389 | |
SUPERasin 20 U/µL | Thermo Fisher Scientific | AM2695 | |
ThermoMixer C | Eppendorf | 5382000015 | |
Tissue homogenizer | Glass-Col | 099C K54 | |
Tris buffer pH 8.0 | Thermo Fisher Scientific | AM9855G | |
Triton X-100 | Thermo Fisher Scientific | AC327372500 | |
UltraPure 0.5M EDTA pH 8.0 | Gibco | 15575020 |
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