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21 protocols using mirnaeasy micro kit

1

Multiplexed Single-Cell RNA-seq Analysis

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Cells from each participant were demultiplexed in silico using SNPs, which were determined by bulk sequencing 25,000–50,000 PBMCs from each participant. Total RNA was extracted from samples stored in Trizol using the miRNAeasy micro kit (QIAGEN, Germantown, MD). Standard RNA sequencing libraries were generated using NEBNextII DNA Library prep kit (#E745). Libraries were then sequenced on Illumina NovaSeq6000 with 100bp paired-end reads, yielding 420M total reads. Sequencing data were converted to a FASTQ format using the Illumina bcl2fastq software. The sequence reads were adaptor and quality trimmed and then aligned to the human genome using the splice-aware STAR aligner, and SNP calls were generated using a previously published protocol.80 (link) We used the software package demuxlet74 (link) to then match single cells from the 10x RNA-seq data to each participant and identify doublets, of which were removed. Because multiple samples from different time points for each participant may be collected and could not be demultiplexed by this method alone, we also used ‘hashtag’ antibodies (HTOs) (BioLegend) to uniquely label the different time points.78 (link)
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2

Single-cell RNA-seq Library Preparation and Sequencing

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Total RNA was purified using a miRNAeasy micro kit (Qiagen, USA) and quantified as described previously (12 (link), 15 (link)). Purified total RNA (5 ng) was amplified following the Smart-seq2 protocol (16 (link)). cDNA was purified using AMPure XP beads (1:1 ratio, Beckman Coulter). From this step, 1 ng of cDNA was used to prepare a standard Nextera XT sequencing library (Nextera XT DNA sample preparation kit and index kit, Illumina). Samples were sequenced using a HiSeq2500 (Illumina) to obtain 50-bp single end reads. Both whole-transcriptome amplification and sequencing library preparations were performed in a 96-well format to reduce assay-to-assay variability. Quality control steps were included to determine total RNA quality and quantity, the optimal number of PCR pre-amplification cycles, and fragment size selection. Samples that failed quality control were eliminated from further downstream steps. Barcoded Illumina sequencing libraries (Nextera, Illumina) were generated utilizing the automated platform (Biomek FXp). Libraries were sequenced on the HiSeq2500 Illumina platform to obtain 50-bp single end reads (TruSeq® Rapid Kit, Illumina), generating a total of >700 million mapped reads (median of ~9 million mapped reads per sample).
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3

Transcriptomic Analysis of Immune Cell Subsets

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CLPs, total rChILPs, PD-1+ or CCR6+ progenitors described above were sorted directly into 700 μL of QIAzol Lysis Reagent in the miRNAeasy Micro Kit (QIAGEN, Cat#217084). Total RNA was extracted and RNA-Seq libraries were prepared through the Smart-seq2 method (Picelli et al., 2014 (link)) as previously described (Hu et al., 2018 (link)). Multiplex sequencing reads of 50 bp were generated by the NHLBI DNA Sequencing and Computational Biology Core. Sequence reads were mapped to mouse genome (mm9) by using bowtie 2 with default settings (Langmead and Salzberg, 2012 (link)). Gene expression was measured by RPKM (reads per kilo-base of exon per million reads) (Mortazavi et al., 2008 (link)). Differentially expressed genes were identified by edgeR 3 (Robinson et al., 2010 (link)) with the following criteria: FDR (false discovery rate) < 0.05, FC (fold change) log2≥ 1, and at least one sample’s RPKM≥1.
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4

RNA Isolation from Activated Cells

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After FACSorting and subsequent activation (see previous paragraph), cells were pelleted, washed once with PBS, and suspended in 700 uL buffer/sample, vortexed for 15 s, and immediately frozen at −80 °C until RNA isolation according to the miRNAeasy Micro Kit (Qiagen) manufacturer’s instructions, which was utilized for RNA isolation. Frozen isolated RNA was transported to Qiagen for sequencing.
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5

Ovarian Cancer miRNA Profiling

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FTE cells were harvested from 6 cm plates and RNA was isolated using miRNAeasy micro kit (Qiagen, Hilden, Germany). Quantity and quality of total RNA was analyzed using Nanodrop (Thermo Scientific). RNA was reverse transcribed into cDNA using miScript II RT kit (Qiagen). cDNA was then processed using miScript SYBR Green PCR kit (Qiagen) and was run on miScript miRNA PCR Array Human Ovarian Cancer plates (Qiagen, MIHS-110ZE-4, 384-well plate). PCR plates were read on the ABI PRISM 7900HT Sequence Detection System (Applied Biosystems). Results were outputted with 2- ΔCt values for each gene in each treatment group compared to the control group (n = 3). Qiagen software was used to analyze results and student's t-test provided statistically significant miRNA (p < 0.05).
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6

CITE-seq Multiplexed Single-Cell Profiling

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For each sample, 100,000–500,000 cells were processed in Trizol using the miRNAeasy micro kit (Qiagen, Germantown, MD) and standard RNA sequencing libraries were generated using Illumina Truseq library preparation kits. The results of bulk RNA sequencing were used for demultiplex of CITE-seq samples by generating SNP calls for each donor. Sequencing results were demultiplexed and converted to FASTQ format using Illumina bcl2fastq software. The sequencing reads were adapter and quality trimmed and then aligned to the human genome using the splice-aware STAR aligner and SNP calls were generated using the previously published protocol74 . The software package demuxlet was used to then match single cell gene expression data to each donor and identify empty droplets and doublets. Because multiple samples from different timepoints for each donor were collected and could not be demultiplexed by this method alone, ‘hashtag’ antibodies (Biolegend) were used to uniquely label the different time points.
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7

Single-cell RNA-seq Library Preparation

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Three thousand cells were sorted into 700μl of QIAzol Lysis Reagent (miRNAeasy Micro Kit (QIAGEN, Cat#217084). Total RNA was extracted and on-column digestion with DNase (QIAGEN, Cat#79254) was performed, followed by elution with 10μl of RNase-free water. Total RNA from 1K cells was reverse transcribed by SuperScript II (Invitrogen, Cat#18064-014) with oligo-dT and LNA-containing TSO primers in a final reaction volume of 10μl using the condition: 42°C for 90min, 10 cycles of 50°C 2min to 42°C 2min, 70°C for 15min and hold at 4°C. cDNA was pre-amplified by PCR using KAPA HiFi HotStart ReadyMix (KAPABIOSYSTEMS Cat#KK2602) with IS PCR for 12 cycles in 25μl. PCR products were purified by Ampure XP beads (Beckman Coulter, Cat#A63881) and eluted with 17.5μl Nuclease-free water as described for Smart-seq2 method (Picelli et al., 2014 (link)). PCR pre-amplified cDNA (40μl) was sonicated to 200~400bps by Bioruptor Pico (Diagenode) for 15 cycles (30″ on and 30″ off). Sonicted cDNA was blunt-ended by End-It DNA-Repair kit (Epicentre, Cat#ER81050), ligated to “Y” adaptor and PCR-amplified for 12 cycles and sequenced as described for the scDNase-seq libraries.
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8

RNA Extraction and Sequencing Protocol

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Cell populations were double sorted straight into 1ml Trizol reagent (Thermo Fisher: 15596018). After addition of 200 μL chloroform, RNA was precipitated from the aqueous phase by addition of isopropanol and linear acrylamide. RNA was washed with 75% ethanol and resuspended in RNase-free water. RNA extraction from low-input samples was performed using the miRNAeasy Micro Kit (Qiagen: 217084) on the QIAcube Connect (Qiagen) according to manufacturer’s protocol. After RiboGreen quantification and quality control by Agilent BioAnalyzer, 0.4–2.0ng total RNA was amplified using the SMART-Seq v4 Ultra Low Input RNA Kit (Clontech: 63488), with 12 cycles of amplification. Subsequently, 1.5–15ng of amplified cDNA was used to prepare libraries with the KAPA Hyper Prep Kit (Kapa Biosystems KK8504), using 8 cycles of PCR. Samples were barcoded and run on a HiSeq 4000 or HiSeq 2500 in either a 50bp/50bp end run, using the HiSeq 3000/4000 SBS Kit (HiSeq 4000) or HiSeq Rapid SBS Kit v2 (HiSseq 2500) (Illumina).
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9

PBMC Isolation and Monocyte Polarization

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Peripheral blood mononuclear cells (PBMCs) from both EDTA- and heparin-anticoagulated PB specimens were isolated using FICOLL™ density gradient centrifugation within 1.5 h after blood draw. CD14+ monocytes were obtained from PBMCs using a magnetic bead-enrichment protocol (CD14 MicroBeads, Human, Miltenyi Biotech, Bergisch Gladbach, Germany) and platform (AutoMACS, Miltenyi Biotech) following the manufacturer’s instructions. CD14+ monocytes obtained from EDTA-anticoagulated PB samples were analyzed for purity, and total RNA was extracted using the miRNA easy Micro Kit (QIAGEN, Venlo, The Netherlands) and stored for further analyses. In turn, CD14+ monocytes from heparin-anticoagulated PB samples were seeded at a concentration of 1 × 106/mL in RPMI medium enriched with 1% penicillin/streptomycin (10,000 U/10 mg per ml; Biochrom, Berlin, Germany), 2 mM L-Glutamine, and 10% fetal bovine serum for 6 days, of which the last 48 h were under M1, M2, or vehicle (M0) stimulation. M1 polarization was performed using 100 U/mL of human recombinant interferon (IFN)-γ (R&D Systems, Minneapolis, MN, USA) and 100 ng/mL of lipopolysaccharide (LPS) from Escherichia coli (055:B5 serotype, Sigma, Burlington, MA, USA), whereas M2 polarization was performed using 20 ng/mL of interleukin-(IL)-4 plus IL-13 (R&D Systems).
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10

Isolation and analysis of RNA from cells and EV subpopulations

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Total RNA from cells and EV subpopulations was isolated using the miRNAeasy micro kit (Qiagen, Hilden, Germany), according to the manufacturer´s instructions. RNA samples were eluted in 14 μL of RNAse-free water, aliquoted, and stored at -80 °C. The quality and sized of the isolated RNA was measured by capillary electrophoresis using an Agilent Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA). RNA from each sample was denatured at 72 °C for 2 min and loaded into RNA 6000 Nano and Pico total RNA kits (Agilent Technologies) to analyze RNA profile and concentration. The RNA concentration was used as a normalizing loading factor for all EV samples.
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