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Totalseq a

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TotalSeq-A is a multiplex technology that enables simultaneous detection of surface proteins and single-cell transcriptomes. It combines targeted antibody-derived tags (ADTs) with whole transcriptome profiling in single cells.

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15 protocols using totalseq a

1

Purification and Sequencing of ETP Cell Subsets

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DN cells were purified as described above, pooling thymus from
eight female
B6.Bcl11byfp/yfp mice,
5.5-weeks old. The 4 subsets of ETP cells (pops 1, 3, 4, 6) were sorted
4-way using the gates described in Fig. S8d. The sorted cells
(total yield ~2000 per gate) were concentrated and each subset
was incubated individually with TotalSeq A (Biolegend) anti-Mouse
Hashtag 1, 2, 3, or 4 (1:50), respectively. A sorted reference
population of ETP-DN2 continuum plus 10%DN3 cells, as in Fig. S1c, was tagged in
parallel with anti-Mouse Hashtag 5. The samples were then washed 3 times
with HBSS supplemented with 10% FBS and 10 mM HEPES, and pooled to load
onto one lane of a 10X Chromium V3 chip. The cDNA preparation was
performed following the instruction manual of 10X Chromium v3, and the
hashtag library was prepared following the Biolegend TotalseqA guide.
The cDNA, tag library, and final library after index preparation were
checked with bioanalyzer (High Sensitivity DNA reagents, Agilent
Technology #5067–4626; Agilent 2100 Bioanalyzer) for quality
control. The cDNA final library was sequenced on NovaSeq 6000, and the
tag library was sequenced on HiSeq4000, by Fulgent Genetics, Inc.. Cells
were sequenced to an average depth of ~50,000 reads per cell for
cDNA and ~2,500 reads per cell for hashtags.
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2

Profiling Tumor Immune Landscape

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After tumors reached 200–300 mm3, they were collected and digested with collagenase buffer in a 37°C bath, pipetting every 10 minutes to dissociate. Cells from 5 tumors were pooled per sample. Cell surface protein feature barcoding (CITE seq) antibody (BioLegend TotalSeq-A) incubation was performed per manufacturer protocols, and cells were processed for 10X Chromium 3’ RNA seq (v3) chemistry reagents with slight modifications for CITE seq. FASTQ files were aligned to the mouse mm10 genome with CellRanger (v3.1.0). Data was analyzed in R [62 ] using Seurat (v3.2.2) [63 (link)] and tidyseurat [64 ] packages. scRNA data deposited as PRJNA736082 to SRA.
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3

Single-Cell Integrated CRISPR-Seq Protocol

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Full details of procedures for each experiment are given in Supplementary Methods as individual subsections under major subheading RNA-SEQ AND SINGLE-CELL RNA-SEQ METHODS. In each experiment, biological replicates for scRNA-seq were FACS sorted on the same day, then antibody hashtagged (TotalSeq A hashtag antibodies, Biolegend), and then finally combined to target equal cell numbers from each of the hashtagged samples for a pooled scRNA-seq analysis. cDNA was prepared following the instruction manual of Chromium v2 or v3 (10X Genomics), while the hashtag library was prepared following the Biolegend TotalseqA guide.
After sequencing libraries of the cDNA, sgRNA, and hashtags from the same experiment, the resulting FASTQ files were aligned using CellRanger3 (for cDNA) (details in Supplementary Methods: Data Analysis: Mapping of scRNA-seq Sequences, Hashtag and gRNA Identification). The single-cell hashtags, as well as the dual guide RNA sequencing data in CRISPR-pool perturbation experiment, were aligned and quantified using in-house tools (hashtag_tool and guiderna_tool) (https://github.com/gaofan83/single_cell_perturb_seq/releases/tag/v.1.0.0), processing from raw fastq data and generate count tables (Fig.S12E, F).
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4

Single-Cell RNA-seq of Vascular Smooth Muscle Cells

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VSMCs were oligo‐tagged with antimouse antibodies (TotalSeq A, Biolegend). The cell suspension was loaded on a 10x Genomics Chromium instrument. The libraries were prepared using Chromium Single Cell 3′ Library & Gel Bead Kit v3.1, PN‐1000268, the Chromium Next GEM Chip G Single Cell Kit PN‐ 1000120 and the Dual Index Kit TT, Set A PN‐1000215, (10x Genomics). Amplified cDNA was evaluated on an Agilent BioAnalyzer 2100 using a High Sensitivity DNA Kit (Agilent Technologies) and final libraries on an Agilent TapeStation 4200 using High Sensitivity D1000 ScreenTape (Agilent Technologies). Individual libraries were diluted to 2 nM and pooled for sequencing. Pools were sequenced with 100 cycle run kits (28 bp Read1, 8 bp Index1, and 91 bp Read2) on the NovaSeq 6000 Sequencing System (Illumina). Seurat package was used for quality control, data filtering, dimensionality reduction, differential gene expression analysis, and uniform manifold approximation.
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5

PBMC Immunophenotyping with TotalSeq-A

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PBMCs were depleted of neutrophils, dead cells, and debris through FACS as described above. 2 × 106 sorted PBMCs were centrifuged (400×g for 5 min at 4°C) using a swinging bucket rotor (Beckman Coulter Avanti J-15RIVD with JS4.750 swinging bucket, B99516), the supernatant was removed using a vacuum aspirator pipette, and the cell pellet was resuspended in 100 µL of DPBS without calcium and magnesium (Corning 21-031 CM) supplemented with 2% w/v BSA (Sigma-Aldrich A2934). A 10 µL TruStain FcX (BioLegend, 422302) was added and cells were incubated on ice for 10 min. A panel of 46 barcoded oligo-conjugated antibodies (BioLegend TotalSeq-A) including a mouse IgG1ĸ isotype-negative control (Supplementary file 6) was added and incubated on ice for 30 min. Cells were washed three times in 4 mL of DPBS plus 2% BSA to remove unbound antibodies and used as input into cell permeabilization with 0.01% digitonin as described above.
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6

Multiparametric Analysis of Immune Cells

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According to the instructions of 10× Genomics, cells were resuspended in 50 μL staining buffer and incubated with Fc receptor blocker for 10 min. They were stained simultaneously with sorting antibodies (Live/Dead, CD45.2, NK1.1, NKp46, Lin: CD3, CD19, F4/80, TCRb, TCRgd, Ter119) and TotalSeq-A antibodies from Biolegend (Table S1), for 45 min at 4°C. Cells were then washed three times in staining buffer, and stained with LIVE/DEAD™ Fixable Aqua Dead Cell Stain for 10 min at 4°C.
Cells were sorted and resuspended at a density of 1000 cells/μL in 1× PBS + 0.04% bovine serum albumin (BSA). Libraries were then prepared with the Chromium Next GEM Single Cell 3′ v3.1 kit from 10× Genomics. RNA and protein libraries were pooled in a 9:1 ratio and sequenced in 2 × 100 bp paired-end mode on a NextSeq 550 at the GenomEast platform of the Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC) of Strasbourg. All libraries were quantified and qualified in Qubit High Sensitivity assays and with the Agilent Bioanalyzer High Sensitivity kit.
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7

CITE-seq Analysis of Human PBMC

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To further evaluate the validity of our method. We generated an in-house CITE-seq dataset of human PBMC from a healthy donor under IRB approval from the University of Pittsburgh. 1372 cells were stained with Totalseq-A from BioLegend and are prepared using the 10x Genomics platform with Gel Bead Kit V2. The prepared assay is subsequently sequenced on an Illumina Hiseq with a depth of 50K reads per cell. Cells in this dataset are measured for their surface marker abundance through CITE-seq (3 (link)). Ten surface markers are measured for every cell: CD3, CD4, CD8a, CD11c, CD14, CD16, CD19, CD56, CD127 and CD154. Cell Ranger 3.0 was used to process the data and generate UMI matrix for the downstream analysis.
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8

Isolation and Characterization of Antigen-Specific CD8 T Cells

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For isolation of CD8 T cells 10 days after infection, single-cell suspensions were generated from four mice per recipient group by macerating spleens through nylon filters. CD8 T cells were enriched from these suspensions using a Stemcell EasySep™ Mouse CD8 T Cell Isolation Kit (#19853). These samples were stained to block Fc receptors then stained with antibodies and live/dead stain (LIVE/DEAD™ Fixable Violet Dead Cell Stain Kit, ThermoFisher # L34955) for 30 minutes on ice shielded from light. The antibodies used for cell surface staining from BioLegend were as follows; PE anti-mouse CD8β Antibody (YTS156.7.7), APC anti-mouse CD45.1 Antibody (A20) and APC anti-rat CD90/mouse CD90.1 (Thy-1.1) Antibody (OX-7). Samples were subsequently washed twice and ~1X106 congenically marked OT-I cells were purified using fluorescence activated cell sorting for each group of recipients. The samples purified in this way from each group of recipients were then suspended in 100μL buffer and labeled with 1μg per sample of the following Total-seq A antibodies from BioLegend: TotalSeq™-A0198 anti-mouse CD127 (A7R34), TotalSeq™-A0250 anti-mouse/human KLRG1 (2F1/KLRG1), TotalSeq™-A0073 anti-mouse/human CD44 (IM7) and TotalSeq™-A0112 anti-mouse CD62L (MEL-14). Samples were labeled for 30 minutes on ice and subsequently washed with 1mL PBS twice.
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9

Single-cell RNA-seq of pro-T cells

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For single cell RNA-seq, pro-T cells obtained from OP9-Dll1 culture were stained with surface antibodies followed by hashtag oligo labeling with TotalSeq A (BioLegend) anti-Mouse Hashtag 1-8 (1:50, in separate samples). After FACS sorting the target cells, samples were washed with 1X HBSS supplemented with 10% FBS and 10 mM HEPES pH 7.3-7.5 and resuspended to 1x106 cells/1mL concentration. Then, 16,000 cells were loaded into a 10X Chromium v3 lane, and the subsequent preparation was conducted following the instruction manual of 10X Chromium v3.
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10

Sequencing Library Preparation Protocols

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C&R libraries were prepared using NEBNext ChIP-Seq Library Preparation Kit (NEB) by following a previously published protocol61 . ChIP-seq libraries were prepared using a NEBNext ChIP-Seq Library Preparation Kit (NEB) according to the manufacturer’s protocol. For generating ATAC-seq libraries, tagmented DNA was PCR amplified (7-8 cycles) by determining the number of amplification cycle for each sample using qPCR58 ,59 and size-selected for 150 bp – 3000 bp range using AMPure XP beads (Beckman Coulter A63880). Single cell RNA-seq cDNA libraries were prepared using 10X Chromium 3’ capture v3 kit. The single-cell hashtag oligo library was prepared by following the BioLegend TotalseqA guide. After the library preparation, the sequencing was performed with paired-end sequencing of 50 bp (C&R, ChIP-seq, and ATAC-seq) or 150 bp (single-cell RNA-seq) using HiSeq4000 by Fulgent Genetics, Inc. (Temple City, CA) or NextSeq by the California Institute of Technology Genomics core. Libraries were sequenced to the following targeted read depths: C&R libraries, 10 million reads; ChIP-seq libraries, 30 million reads; ATAC-seq libraries, 40 million reads. Single cell RNA-seq cDNA libraries were sequenced to a targeted depth of 65,000-70,000 reads per cell and hashtag oligo libraries were sequenced for 2,000-2,500 reads per cell.
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