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12 protocols using chromium next gem single cell 3 v3

1

Single-cell RNA-seq: Chromium Next GEM v3.1

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Sample processing, including barcoding, gel-bead assembly in emulsion (GEM), GEM reverse transcription, cDNA amplification, and library construction, followed the Chromium Next GEM single cell 3′ v3.1 protocol by 10X Genomics. Sequencing and bioinformatic analysis was performed as previously described (31 (link)). DGE analysis across different cell types and conditions was conducted using Seurat functions, employing a threshold of (Padj < 0.05, |log2 FC| > 0.25) with Benjamini-Hochberg correction. Gene-set enrichment analysis and functional annotation were carried out using clusterProfiler 4.0 and visualized through custom scripts. Pathways represented by DGE genes were visualized with a chord plot utilizing the ‘circlize’ package in R. All subsequent data analysis was performed in R v4.2.0.
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2

Cell Deconvolution and Brain Tissue Concordance Analysis

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Computational estimation of cell type abundances (deconvolution) was performed with CIBERSORTx [21 (link)] using the web-interface (https://cibersortx.stanford.edu/) with default parameters, selecting 500 permutations for statistical testing. We used as reference the expression signature from ten cell types obtained from single-cell RNA sequencing of three of our 180 days old CTRL hCS using the Chromium Next GEM Single Cell 3′ v3.1 (10X Genomics). Data from the CTRLs was integrated into a merged dataset, consisting of 11,649 cells. Normalization and integration were performed with Harmony and Seurat v4 SCT. Cluster annotation was performed with GSEA together with several automatic cell type prediction packages. To assess the extent to which in vitro hCS transcriptional profiles match the gene expression profiles of human primary in vivo brain tissue, gene-level spatiotemporal RNA sequencing data sets were downloaded from the BrainSpan resource (https://www.brainspan.org/static/download.html) [22 (link), 23 (link)]. Concordance analyses were performed using Spearman’s correlation after converting gene counts to RPKM values and filtering out non-expressed and low-abundance transcripts.
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3

Single-cell RNA-sequencing of Sorted Lung Cells

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Sorted cells from pooled lungs were counted using the Luna-FL automated cell counter (Logos Biosystems), and 18,000–20,000 cells per channel were loaded onto a Chromium controller (10x Genomics), except for GFP+ cells, which were loaded completely without counting due to low cell number. scRNA-seq libraries were prepared using Chromium Next GEM Single Cell 3′ v2 (Figs. 13 and Supplementary Fig. 13) or Chromium Next GEM Single Cell 3′ v3.1 (all other figures) and following the manufacturer’s protocol (10x Genomics). Libraries were analyzed and quantified using TapeStation D1000 screening tapes (Agilent) and Qubit HS DNA quantification kit (Thermo Fisher Scientific) before sequencing with a NextSeq 500 (Illumina) (Figs. 13 and Supplementary Figs. 13) or NovaSeq 6000 (Illumina) (all other figures). Detailed information for each scRNA-seq run can be found in Supplementary Data 1.
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Single-cell Screening of Astrocyte Regulators

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sgRNAs targeting the top hits from the CRISPRi screens and also candidate regulators selected based on literature were cloned into pMK1334. The concentration of each sgRNA plasmid was measured using the Qubit dsDNA HS Assay Kit on a Qubit 2.0 Fluorometer, and then the plasmids were pooled. iAstrocytes were transduced with lentivirus generated from the sgRNA pool at low multiplicity of infection so that <30% of cells were transduced, treated with vehicle control or IL-1α+TNF+C1q for 24 hours, and then sorted for sgRNA-transduced cells via FACS. Sorted iAstrocytes were then used as input for single-cell RNA-seq using Chromium Next GEM Single Cell 3’ v3.1 reagents (10X Genomics cat. no. PN-1000121, PN-1000127, and PN-1000213), loading ~45,000 cells per reaction into four reactions, with two reactions for vehicle control-treated iAstrocytes and two reactions for IL-1α+TNF+C1q-treated iAstrocytes. To facilitate association of single-cell transcriptomes with sgRNAs, sgRNA-containing transcripts were amplified as described in Tian et al.85 . The sgRNA-enrichment libraries were separately indexed and sequenced as spike-ins alongside the whole-transcriptome single-cell RNA-seq libraries on a NovaSeq 6000, recovering on average ~29,000 transcriptome reads and ~5,000 sgRNA-containing transcript reads per cell.
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Droplet-based single-nucleus RNA sequencing

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For droplet-based snRNA-seq, libraries were prepared using the Chromium Next GEM Single Cell 3′ v.3.1 according to the manufacturer’s protocol (10x Genomics), targeting 10,000 nuclei per sample after counting with a TC20 Automated Cell Counter (Bio-Rad). Thirteen cycles were applied to brain parenchyma samples to generate cDNA, and 15 for choroid plexus samples. All samples underwent 15 or 16 cycles for final library generation. Generated snRNA-seq libraries were sequenced across two S4 lanes on a NovaSeq 6000 (150 cycles, Novogene).
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6

10X Genomics Single-Cell RNA-Seq Protocol

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For 10X Genomics single-cell RNA sequencing, cells were brought to a concentration of about 1000 cells/µL using the resuspension buffer. A total of 8000 cells were targeted for cDNA preparation and put through the 10X Genomics Chromium Next GEM Single Cell 3′ v3.1 (Pleasanton, CA, USA) pipeline for library preparation. After cDNA preparation and GEM generation and clean-up, cDNA was quality checked and quantified on an Agilent Bioanalyzer DNA High-Sensitivity chip at a 1:10 dilution. Successful traces showed a fragment size range of approximately 1000–2000 bp. A total of 12 indexing cycles for the library were used. The quality of the indexed libraries was checked on an Agilent Bioanalyzer DNA High-Sensitivity chip at a 1:10 dilution. Successful libraries had fragment size distributions with peaks around 400bp. Libraries were sequenced using 4 Illumina Hiseq lanes (Paired-end 75 bp).
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Single-Cell RNA Sequencing of Urine Samples

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Samples were collected as first morning void urine or via urinary catheter (using the pooled urine output of 4 hours). Viable cells were sorted using a flow cytometric approach (Supplementary Figure S2). Some samples were barcoded, pooled, and later demultiplexed (Supplementary Figure S3). Single cells were sequenced following the 10x Genomics protocol for Chromium Next GEM Single Cell 3' v3.1 chemistry (10x Genomics). For details, see the Supplementary Methods.
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8

Single-Cell Transcriptome and Immune Profiling

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Fresh and cryopreserved CSF-cells from 44 libraries (14 from Columbia and 30 from Basel) were loaded into the 10x Genomics Chromium Controller for droplet-encapsulation. cDNA (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprint this version posted September 17, 2021. ; https://doi.org/10.1101/2021.09.15.460354 doi: bioRxiv preprint libraries were prepared using either the Chromium Next GEM Single Cell 3 v3.1 or Chromium Next GEM Single Cell V(D)J v1.1 and v2.0 kits (10x Genomics) according to the manufacturer's instructions. When the latter was used, TCR-and BCR-enriched libraries were prepared for each sample using Chromium Single Cell V(D)J Enrichment Kit (Human T Cell) and Chromium Single Cell V(D)J Enrichment Kit (Human B Cell) respectively. All libraries were sequenced using NovaSeq 6000 (Illumina) and NovaSeq 6000 S2 Reagent Kit v1.5 (100 cycles) (Illumina) to get a sequencing depth of 50K reads/cell (whole transcriptome libraries) or 10K reads/cell (TCR and BCR enriched libraries).
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9

Droplet-based single-nucleus RNA-seq

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For droplet-based snRNA-seq, libraries were prepared using the Chromium Next GEM Single Cell 3ʹ v.3.1 according to the manufacturer’s protocol (10x Genomics), targeting 10,000 nuclei per sample after counting with a TC20 Automated Cell Counter (Bio-Rad). We performed 12 cycles for cDNA amplification for all of the samples. To generate the final dual or single indexed 10X libraries, 13 cycles were performed.
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10

Single-cell Transcriptome Profiling of Meiotic Cells

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Single-cell sequencing libraries were prepared and sequenced in two batches, with each batch containing one wild-type and one Meioc-null pup at P15. One P15 testis per pup was enzymatically dissociated into single cells (see Supplemental Information) and resuspended in 0.05% bovine serum albumin (BSA) in phosphate buffered saline (PBS) for a target concentration of 1000 cells per microliter. Cell suspensions were loaded onto the Chromium Controller, aiming for recovery of 10,000 cells per sample. Libraries were generated using the Chromium Next GEM Single Cell 3ʹ v3.1 (10x Genomics), according to manufacturer’s instructions, and sequenced as 150 bp paired-end reads on an Illumina NovaSeq 6000 system with an S4 flow cell.
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