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11 protocols using magnetic beads

1

Glycan Profiling of Antibody Fc Region

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Capillary electrophoresis was used to quantify the relative abundance of antibody glycan structures as previously described (44 (link)). Briefly, hyperimmune IgG was bound to protein G immobilized on magnetic beads (New England Biolabs) and then incubated with IdeZ protease (New England Biolabs) to release the IgG-Fab portion. The beads still bound with IgG-Fc were washed, and N-glycans were released from the IgG-Fc and labeled with 8-aminopyrene-1,3,6-trisulfonic acid (APTS) using the GlycanAssure APTS Kit (Thermo Fisher Scientific), as described in the manufacturer’s protocol. Labeled glycans were loaded and analyzed by the 3500 Genetic Analyzer (Thermo Fisher Scientific). Peaks for sialylated, fucosylated, galactosylated, and bisected (GlcNAc) structures were identified. The relative amount of each glycan structure was determined by calculating the area under the curve (AUC), which was normalized to the loaded APTS dye, for each peak then divided by the total area of all peaks. The percent enrichment was determined using the formula: [-(relative abundance of CHIKV load IgG – relative abundance of CHIKV eluate IgG)/relative abundance in the CHIKV load IgG]*100.
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2

RNA-seq of adipose tissue transcriptome

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For RNA-seq, RNA was isolated from gWAT as just described. RNA was prepared for RNA-seq as described previously [8 (link)]. Briefly, RNA with RIN > 8 was subjected to poly-dT pulldown using magnetic beads (NEB) before preparation for RNA-seq using RNA Ultra kits (NEB). Libraries were sequenced on a NextSeq 500 (Illumina), and reads were aligned to the mm10 transcriptome using HISAT2 [9 (link)] after adaptor trimming using cutadapt [10 ]. Read counts per gene for RefSeq genes were computed using featureCounts [11 (link)]. Counts were normalized to reads per kilobase per million (RPKM) and processed for pairwise differential expression analysis of selected conditions using DESeq2 [12 (link)] with a false discovery rate (FDR)-adjusted p value cutoff of 0.05. Gene ontology analysis was performed using the PANTHER database [13 (link)].
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3

RNA-Seq Analysis of Macrophage Transcriptome

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For RNA-Seq, macrophages were washed twice with cold PBS and lysed in TRIzol reagent (Thermo). RNA was isolated from the aqueous phase using RNeasy kits (Qiagen). RNA with RIN > 8 was subjected to poly-dT pulldown using magnetic beads (NEB) before preparation for RNA-Seq using RNA Ultra kits (NEB). Libraries were sequenced on a NextSeq 500 (Illumina) and reads were aligned to the mm10 transcriptome using HISAT2 29 (link) after adaptor trimming using cutadapt 30 . Reads counts per gene for RefSeq genes were computed using featureCounts 31 (link). Counts were normalized to reads per kilobase per million (RPKM) and processed for pairwise differential expression analysis of selected conditions using DESeq2 32 (link) with an False Discovery Rate (FDR)-adjusted p-value cutoff of 0.05. Gene Ontology analysis was performed using the PANTHER database 33 (link) and sequence motif analysis was performed using HOMER 34 (link).
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4

RNA-seq analysis of macrophage transcriptome

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For RNA-seq, macrophages were washed twice with cold PBS and lysed in TRIzol reagent (Thermo). RNA was isolated from the aqueous phase using RNeasy kits (QIAGEN). RNA with RIN > 8 was subjected to poly-dT pulldown using magnetic beads (NEB) before preparation for RNA-seq using RNA Ultra kits (NEB). Libraries were sequenced on a NextSeq 500 (Illumina) and reads were aligned to the mm10 transcriptome using HISAT2 (Kim et al., 2015 (link)) after adaptor trimming using cutadapt (Martin, 2011 ). Reads counts per gene for RefSeq genes were computed using featureCounts (Liao et al., 2014 (link)). Counts were normalized to reads per kilobase per million (RPKM) and processed for pairwise differential expression analysis of selected conditions using DESeq2 (Love et al., 2014 (link)) with a False Discovery Rate (FDR)-adjusted p value cutoff of 0.05. Gene Ontology analysis was performed using the PANTHER database (Thomas et al., 2003 (link)).
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5

Isolation and Quantification of Trypanosoma RNA

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Bloodstream-stage trypanosomes were grown to 106 cells/mL and insect-stage parasites to 107 cells/mL. In each case, 5 × 108 cells were pelleted at 3000× g and washed in phosphate-buffered saline (PBS: 10 mM Na2HPO4, 1.8 mM KH2PO4, pH7.4, 137 mM NaCl, 2.7 mM KCl) supplemented with 20 mM glucose. Cells were shock-frozen in liquid N2, and stored at −20 °C. Total RNA was isolated by guanidinium acid phenol extraction [26 (link)]. Polyadenylated RNA (poly(A)-RNA) was isolated from total RNA or crude cell lysates by 2 rounds of affinity chromatography using oligo d(T)25-derivatized magnetic beads (NEB). RNA yields were quantified by ultraviolet (UV) spectrophotometry and the integrity of the isolates was electrophoretically analyzed in 2% (w/v) agarose gels. Poly(A)-enrichment was assessed using qRT-PCR, comparing the ratio of the amount of β-tubulin-specific mRNA over 18S rRNA to that of total RNA using the ΔΔCT method [27 (link)].
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6

RNA-seq protocol for irradiated cells

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For each cell line 50,000 cells were plated in 35 mm dishes, 24 h later cells were treated (or not) with 4Gy IR (RS-2000, RadSource), 3 h after that cells were lysed with Trizol (Ambion). RNA was purified on affinity columns and DNAse treated (Zymo). Purified RNA (500 ng) was polyA purified using magnetic beads (NEB), fragmented and reverse transcribed using protoscript RT (NEB), second strand synthesized (NEB), and then assembled into libraries with the commercial NEBnext kit (NEB) and associated protocols, although reaction volumes were reduced by 4-fold and custom adaptors and barcodes were employed. Libraries were sequenced with single end 75 bp reads on a NextSeq.
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7

RNA-seq analysis of macrophage transcriptome

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For RNA-seq, macrophages were washed twice with cold PBS and lysed in TRIzol reagent (Thermo). RNA was isolated from the aqueous phase using RNeasy kits (QIAGEN). RNA with RIN > 8 was subjected to poly-dT pulldown using magnetic beads (NEB) before preparation for RNA-seq using RNA Ultra kits (NEB). Libraries were sequenced on a NextSeq 500 (Illumina) and reads were aligned to the mm10 transcriptome using HISAT2 (Kim et al., 2015 (link)) after adaptor trimming using cutadapt (Martin, 2011 ). Reads counts per gene for RefSeq genes were computed using featureCounts (Liao et al., 2014 (link)). Counts were normalized to reads per kilobase per million (RPKM) and processed for pairwise differential expression analysis of selected conditions using DESeq2 (Love et al., 2014 (link)) with a False Discovery Rate (FDR)-adjusted p value cutoff of 0.05. Gene Ontology analysis was performed using the PANTHER database (Thomas et al., 2003 (link)).
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8

m5C-RIP Analysis of RNA Modifications

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Total RNA was extracted from HepG2.2.15 cells using TRIzol reagent (Invitrogen, Carlsbad, CA, USA). m5C-RIP was performed as previously described [55 (link)]. Briefly, 300 μg of RNA were resuspend in immunoprecipitation (IP) buffer (150 mmol/L NaCl, 0.1% NP-40, 10 mmol/L Tris-HCl pH 7.4) and incubated with an anti-m5C antibody (ab10805, Abcam) or normal rabbit/mouse IgG antibody (Proteintech) overnight at 4 °C. The RNA and antibody mixture was then incubated with 35 μL of magnetic beads (New England Biolabs) for 2 h at 4 °C. Beads were washed with IP buffer six times and then incubated with 300 μL of elution buffer (5 mmol/L Tris-HCl pH 7.5, 1 mmol/L EDTA pH 8.0, 0.05% SDS, 4.2 μL 20 mg/mL proteinase K) at 50 °C for 1.5 h. Eluted RNA was purified using phenol/chloroform. Immunoprecipitated RNA was used for cDNA synthesis using the HiScript 1st Strand cDNA Synthesis Kit (Vazyme) according to the manufacturer’s protocol. The relative RNA level was measured by quantitative PCR (qPCR) using Hieff® qPCR SYBR® Green Master Mix (Yeasen Biotech Co., Shanghai, China) on a CFX Connect real-time system (Bio-Rad Laboratories, Hercules, CA, USA). The primers used for RT-qPCR were listed in Table S6. At least three samples in each qPCR analysis were prepared, and three independent experiments were performed.
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9

Identifying ac4C-modified RNA in EV71

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RNA was extracted from EV71-infected Vero cells and concentrated viral supernatants using TRIzol reagent (Invitrogen) or transcribed by T7 polymerase. For acRIP, 300 μg total RNA, 10 μg supernatant RNA, or 10 μg in vitro-transcribed EV71 RNA was incubated with anti-ac4C antibodies (Abcam) or IgG antibodies (Proteintech, Rosemont, IL, USA) in 500 μl IP buffer (150 mM NaCl, 0.1% NP-40, 10 mM Tris–HCl, pH 7.4) for 4 h at 4°C. The mixtures were incubated with 30 μl anti-rabbit antibodies conjugated with magnetic beads (NEB, Ipswich, MA, USA; cat. no. S1432S) for 2 h at 4°C and washed six times with 1 ml IP buffer. RNA was extracted using TRIzol reagent and quantified by qRT-PCR.
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10

Detecting Active Viral Infections in Bumblebees

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Although bees may pick up viruses on flowers and test positive for the presence of a virus, these are not necessarily active infections. To test for actively replicating viruses in the bumblebees, we conducted strand specific RT-PCR [38 (link)] on extracted RNA samples that tested positive for a virus. Each RNA sample was transcribed to cDNA using iScript cDNA Synthesis Kit (BioRad). To increase specificity, we used PAGE purified, biotinylated forward and reverse primers (Integrated DNA Technologies) during reverse transcription and purified the resulting cDNAs using magnetic beads coated with a monolayer of streptavidin following manufacturers protocols (New England BioLabs). We diluted each cDNA tenfold and then conducted PCRs with non-biotinylated primers in separate reactions for both for forward and reverse strands.
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