The largest database of trusted experimental protocols

Rna seq

Manufactured by Novogene
Sourced in China, United Kingdom

RNA-seq is a technology used to analyze the RNA content of a biological sample. It provides a comprehensive assessment of gene expression levels and can be used to identify novel transcripts and splice variants. The core function of RNA-seq is to generate high-throughput sequencing data from RNA molecules present in a sample, allowing researchers to quantify and analyze the transcriptome.

Automatically generated - may contain errors

19 protocols using rna seq

1

Transcriptomic Analysis of Red Panda eMSCs

Check if the same lab product or an alternative is used in the 5 most similar protocols
Red panda eMSCs isolated from three different individuals and corresponding red panda skin fibroblast cells (skin FCs) at passage 4 were seeded in culture dishes (diameter, 10 cm) and treated with normal growth medium. When the cells reached ~80% confluence, the cells were collected and treated with Trizol (Thermo Fisher) as manufacturer’s protocol to extract total RNA and then for RNA-seq (Novogene). The RNA-seq data were assembled and analysed as no reference genome sequences. Differential expression analysis was performed with DESeq2. For functional enrichment analysis, DEGs were mapped to terms in the GO database, and then searched for significantly enriched GO terms (P < 0.05). DEGs were mapped to the KEGG database, and searched for significantly enriched KEGG pathways (P < 0.05).
+ Open protocol
+ Expand
2

RNA-Seq Transcriptome Library Construction

Check if the same lab product or an alternative is used in the 5 most similar protocols
Construction of the cDNA libraries and RNA-Seq were performed by Novogene Bioinformatics Technology Co., Ltd. (Beijing, China). First, mRNA was purified from 1.5 μg of total RNA from salivary gland tissue using poly-T oligo-attached magnetic beads. Fragmentation was carried out using divalent cations under elevated temperatures in NEB Next First Strand Synthesis Reaction Buffer (5×). First strand cDNA was synthesized using a random hexamer primer and M-MuLV Reverse Transcriptase (RNase H-). Subsequently, second strand cDNA synthesis was performed using DNA Polymerase I and RNase H. Remaining overhangs were converted into blunt ends via exonuclease/polymerase activities. After the adenylation of 3’ ends of DNA fragments, NEBNext Adaptors with a hairpin loop structure were ligated to prepare for hybridization. The library fragments were purified with the AMPure XP system (Beckman Coulter, Beverly, USA) to select cDNA fragments that were preferentially 150~200 bp in length. Then, 3 μL of USER Enzyme (NEB, USA) was used with size-selected, adaptor-ligated cDNA at 37°C for 15 min followed by 5 min at 95°C before PCR. Then, PCR was performed with Phusion High-Fidelity DNA polymerase, Universal PCR primers and Index (X) Primer. Finally, PCR products were purified (AMPure XP system), and library quality was assessed on an Agilent Bioanalyzer 2100 system.
+ Open protocol
+ Expand
3

RNA-seq Analysis of hCGp7 Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA from hCGp7 cells used for qPCR was subjected to RNA-seq (Novogene, Beijing, China). RNA qualities were checked using an Agilent 2100 Bioanalyzer (Agilent Technologies, Waldbronn, Germany). RNA integrity number values were 10.0 in all samples. The RNA was subjected to prepare libraries using Illumina TruSeq RNA and DNA Sample Prep Kits (Illumina, San Diego, CA, USA). Library qualities were confirmed using a Qubit 2.0 fluorometer (Life Technologies; Thermo Fisher Scientific) and an Agilent 2100 Bioanalyzer. RNA-seq was performed using Illumina NovaSeq 6000 (Illumina) to generate >6 GB raw data per sample. Raw data were recorded in a FASTQ format. The quality of the read was calculated as the arithmetic mean of its Phred quality scores. Then the reads as follows were discarded with adaptor contamination, when uncertain nucleotides constitute >10% of either read, or when low quality nucleotides (base quality < 20) constitute >50% of the read. The cleaned reads were used for subsequent analyses. The reads were mapped to a reference genome GRCm39 using TopHat2. The numbers of the reads and mapping efficiencies were summarized in Table 1. The expression levels of the transcripts were calculated as FPKM using HTSeq.
+ Open protocol
+ Expand
4

RNA-Seq Analysis of OP9-DL4 Variants

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA was extracted from OP9-DL4 MHCI+ parental cells and from OP9-DL4 MHC cells and processed commercially for standard RNA-Seq and data processing (Novogene). Briefly, following alignment to the GRCm38.p6/mm10 mouse genome using STAR 2.7.3a (https://github.com/alexdobin/STAR/releases), gene expression quantification was determined as Fragments per kilobase of transcript sequence per million base pairs sequenced (FPKM) followed by differential gene expression determined by DESeq2 (https://bioconductor.org/packages/release/bioc/html/DESeq2.html ) yielding expression level, log2 fold-difference between the two OP9-DL4 variants, a P value and a Padj utilising the Benjamin-Hochberg correction to control the false discovery rate.
+ Open protocol
+ Expand
5

Transcriptomics of Skin Tissue in Cryptocaryon irritans Infection

Check if the same lab product or an alternative is used in the 5 most similar protocols
The C. irritans were isolated from the C. irritans-infected T. ovatus at the Shenzhen experimental base of the South China Sea Fisheries Research Institute and reproduced with fish as hosts. At the beginning of the infection experiment, the prepared T. ovatus without parasite infection were put into 0.5m3 cylinders respectively as required, and the temperature and salinity of seawater in all the barrels were ensured to be the same. The infection test was carried out under the condition that the concentration of C. irritans reached 8000 theronts/L. At 48 hours after infection, skin tissues were obtained from 9 fish in the infection group and 9 fish in the control group. The control group was used prior to infection (PRE), and the infected group was divided into attached infected area skin (ATT) and adjacent infected skin (ADJ) groups. The samples were divided for two storage methods: direct freezing in liquid nitrogen and incubation at 4 °C overnight followed by storage at -80 °C with RNAlater. The samples were sent to Novogene (Guangzhou, CHN) for transcriptome sequencing (RNA-seq).
+ Open protocol
+ Expand
6

RNA-seq Analysis of MDA-MB-231 Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA was prepared from MDA-MB-231 cells after treating with or without TM for 20 h and subjected to RNA-seq (Novogene, Beijing, China). Sequencing libraries were generated using NEBNext UltraTM RNA Library Prep Kit for Illumina (NEB, Ipswich, MA, USA). The clustering of the index-coded samples was performed on a cBot Cluster Generation System according to the manufacturer’s instructions. After cluster generation, the library preparations were sequenced on an Illumina Hiseq platform and 125 bp/150 bp paired-end reads were generated.
+ Open protocol
+ Expand
7

RNA Extraction from Telogen Skin

Check if the same lab product or an alternative is used in the 5 most similar protocols
Telogen dorsal skin was shaved and a ~4 × 4 cm region of skin was collected and incubated overnight in 0.25% trypsin at 4 degrees Celsius. The next day, the epidermis were scraped from the dermis using a razor blade, minced in trypsin, and passed through a 100 μm nylon mesh to remove hair shafts. The cells were lysed in 350 μL RLT buffer per 5 × 106 cells, and processed using RNeasy Mini Kit. 1.5 μg of total RNA with RIN ≥ 7 was submitted to Novogene Corporation for RNA-Seq, and ~20 × 106 reads were collected per sample.
+ Open protocol
+ Expand
8

RNA-Seq Analysis of H2O2 and Fullerenol Effects

Check if the same lab product or an alternative is used in the 5 most similar protocols
The RNA-Seq Samples Consisted of Three Groups, Represented by the Control Group, the H2O2 Group, and the Fullerenol Group. For Each Group, Three Biological Replicates Were Considered, for a Total of 9 Samples. CDNA Libraries From These Samples Were Sequenced and Analyzed According to the Protocols for RNA-Seq (Novogene Company, Beijing, China). The Gene Expression Distribution of Each Sample That Passed Quality Control Was Used for Further Analysis (Supplementary Figures S1A–D).
+ Open protocol
+ Expand
9

RNA-Seq Analysis of S4-Treated LN229 Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA was extracted from S4-treated and vehicle-treated LN229 cells and RNA-sequencing (RNA-seq) was performed by the Novogene Corporation (Beijing, China). RNA-seq data were analyzed as previously described [28 (link)]. RNA-seq data have been deposited at the NCBI Gene Expression Omnibus under the accession number GSE205538.
+ Open protocol
+ Expand
10

Transcriptome Analysis of FTO Knockdown

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA was isolated from FTO knockdown HOC313 cells using TRIzol reagent (cat. no. 15596-018; Thermo Fisher Scientific). A 2 mg sample of total RNA was subjected to mRNA purification using an Oligotex-dT30 Super mRNA purification kit (TaKaRa). Purified mRNA was fragmented into ~150 nt pieces by incubating with fragmentation buffer provided with the NEB Fragmentation Kit (NEB) at 94 C for 5 min. Fragmented mRNA was concentrated by ethanol precipitation, and half was submitted for RNA-seq (Novogene) and the other half was used for m 6 A immunoprecipitation followed by RNA-seq (MeRIP-seq). The library was prepared and sequenced using the HiSeq 2500 platform by Novogene.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!