Biomarker (BMKGENE) America’s Post

Strand-specific sequencing can distinguish whether an RNA sample originates from the sense strand or the antisense strand, thereby determining the transcription direction of RNA. Through this technology, researchers can more accurately analyze gene expression patterns, discover new transcripts, and identify the locations of RNA modifications. Strand-specific sequencing is particularly crucial in RNA sequencing, where the distinction between the sense and antisense strands is essential for understanding the regulatory mechanisms of gene expression. There are several different techniques and strategies for implementing strand-specific sequencing. Here are some commonly used methods: 1. dUTP method: The reverse strand is labeled with dUTP during reverse transcription. Subsequently, Uracil-DNA Glycosylase (UDG) is used to degrade the dUTP-labeled strand before sequencing. 2. Double-stranded RNA-specific enzyme treatment: Utilizing double-stranded RNA-specific enzymes like RNase H to selectively degrade one of the strands, achieving strand specificity. 3. Primer design: Designing specific primers to selectively guide reverse transcription or PCR reactions, thereby labeling RNA strands. 4. Chemical modification: Introducing special chemical modifications to distinguish between the strands. #BMKGENE can provide Strand-specific mRNA sequencing service, to meet the research needs of researchers. #mRNA #StrandSpecific #RNAseq #dUTP #RNaseH

Strand-specific sequencing can distinguish whether an RNA sample originates from the sense strand or the antisense strand, thereby determining the transcription direction of RNA. Through this technology, researchers can more accurately analyze gene expression patterns, discover new transcripts, and identify the locations of RNA modifications. Strand-specific sequencing is particularly crucial in RNA sequencing, where the distinction between the sense and antisense strands is essential for understanding the regulatory mechanisms of gene expression. There are several different techniques and strategies for implementing strand-specific sequencing. Here are some commonly used methods: 1. dUTP method: The reverse strand is labeled with dUTP during reverse transcription. Subsequently, Uracil-DNA Glycosylase (UDG) is used to degrade the dUTP-labeled strand before sequencing. 2. Double-stranded RNA-specific enzyme treatment: Double-stranded RNA-specific enzymes like RNase H selectively degrade one strand, achieving strand specificity. 3. Primer design: Designing specific primers to selectively guide reverse transcription or PCR reactions, thereby labeling RNA strands. 4. Chemical modification: Introducing special chemical modifications to distinguish between the strands. #BMKGENE can provide Strand-specific mRNA sequencing services to meet the research needs of researchers. #mRNA #dUTP #RNaseH

🌱 Exciting Discoveries in Plant Genetics! 🔬 Check out this study by Junli Wang et al. on spliceosome disassembly factors ILP1 and NTR1 in enhancing miRNA biogenesis in Arabidopsis thaliana, revealing novel components identified through small RNA sequencing from Novogene America 🧬 Novogene's Sequencing Services: Leveraging the advanced capabilities of Illumina platforms, this research employed small RNA sequencing, a specialized technique tailored to capture the subtle yet pivotal role of smRNA in gene regulation. By focusing on these small RNA molecules, this sequencing strategy effectively explores the intricate landscape of gene expression, shedding light on the nuanced mechanisms underlying plant biology. #smRNA #NGS #sequencing #omics

RNA-Seq Data Analysis Services Get Service: https://lnkd.in/gVwXF6FF RNA sequencing (RNA-Seq) is a high-throughput sequencing technique used to quantify and characterize RNA transcripts in a sample. Transcriptomics services specialize in RNA-Seq data analysis, which involves mapping sequencing reads to a reference genome or transcriptome, quantifying gene expression levels, detecting -> Trimming and Mapping of reads on the reference genome/transcriptome -> Provide Aligned data(BAM/SAM file) for quantification of reads -> De-multiplexed, aggregated Picard BAM file with summary metrics -> De-novo transcriptome assembly -> Perform Differential splicing analysis (DEXSeq report) -> Identification of differentially expressed non-coding RNAs -> Identification of differentially expressed miRNAs -> ChIP-Seq Histone Modifications -> ChIP-Seq Transcription Factors -> ChIP-Seq Inhibitor Identification

Need to Extract RNA Fast Without Compromising Purity? The Favorgen Blood Total RNA Kit gives you high-quality RNA in a flash—from fresh whole blood or cultured cells—so you can get right to your research! What Sets This Kit Apart from the Rest: ✅ Effortless RNA extraction with RL buffer for efficient red blood cell lysis ✅ Protects RNA integrity by inactivating harmful RNases ✅ Perfect for gene expression studies, diagnostics, RT-PCR, sequencing, and more! From blood samples to breakthrough results—FavorPrep™ is your go-to for high-quality RNA. For more scientific breakthroughs, follow us at @genaxy_scientific_pvt.ltd and stay ahead! #genaxyscientific #rnakit #rnaisolation #pcrtesting #scientificinnovation #researchanddevelopment #futureofscience #scientificdiscovery #labessential #reeloftheday

Microarray and RNA-Seq are two methods used for analyzing gene expression, each with distinct advantages and limitations. Microarray works by converting RNA into cDNA, tagging it with fluorescent dyes, and hybridizing it to a microarray with known probes. This method is cost-effective but limited to detecting known transcripts, with lower sensitivity and no ability to uncover alternative splicing or structural variants. In contrast, RNA-Seq involves converting RNA into a sequencing library, which is then sequenced and aligned to a reference genome. RNA-Seq offers high sensitivity, a wide dynamic range, and the ability to identify novel transcripts, alternative splicing, and structural variations, making it a comprehensive tool for transcriptomic studies. While Microarray is more affordable, RNA-Seq provides deeper and more detailed insights.

Unlocking RNA Mysteries: Exploring m6A Modifications with MeRIP-seq Analysis by CD Genomics CD Genomics provides a comprehensive analysis of the transcriptome-wide location of m6A within mRNA transcripts and other RNA species utilizing Methylated RNA Immunoprecipitation Sequencing (MeRIP-seq). The MeRIP-seq employs a specific antibody for identifying and characterizing N6-methyladenosine (m6A) within RNA. Given that the 3'UTR of mRNA acts a pivotal part in mRNA stability, localization, and translation, any m6A enrichment within this region can hint toward its potential impact on RNA metabolism and gene expression. Furthermore, clues regarding the potential biological roles of this modification can be elicited through the inhibition of enzymes that participate in RNA methylation. Consequently, the discovery and characterization of modified RNA bases could enhance our comprehension of biological pathways. https://lnkd.in/epXzwNW

Longlight offers ChIP sequencing (ChIP-seq) service as ChIP sequencing combines ChIP and high-throughput sequencing technology to detect DNA sites binding to specific transcription factors / histones throughout the genome. It can answer a large number of scientific questions involving the interaction between proteins and chromatin , including but not limited to :  ① Comparing the presence of certain proteins at various sites and drawing a map of various proteins in a target genomic region;  ② Studying the co-occurrence of histone proteins The relationship between valency modification and gene expression;  ③ Detection of the precise positioning of RNA polymerase II and other trans-factor binding sites on the genome;  ④ Research on transcription factors.

Excited to share 'non-destructive transcriptomics via vesicular export' (NTVE). We use HIV-1 virus-like particles, to export 'snapshots' of a cell’s transcriptome, which allows to follow gene expression changes over time by sampling from the supernatant. NTVE focuses on exporting coding mRNAs by grabbing those via the poly(A)-binding protein (PABPC1). We’ve used the system for murine and human cells, and followed gene expression over time throughout iPSC differentiation. To selectively pull down VLPs from different populations in co-culture settings, we established tags on the VLP surface based on a dead VSV-G glycoprotein. We also explored cell-2-cell communication by delivering mRNAs and prime editors to receiver cells. https://lnkd.in/dX3Ztf3C Big thanks to all co-authors - especially Julian Geilenkeuser, Martin Großhauser, Luisa Stroppel, Gil Westmeyer and Dong-Jiunn Jeffery Truong <3

A genome-wide data set of stable chromatin-RNA interactions! RNA-chromatin interactions are vital for gene regulation but are very difficult to study. I really like the simplicity of this approach: https://lnkd.in/gmTds28Y Hypothesizing that stable, long-range RNA-chromatin interactions are the most critical ones, scientists removed promiscuous, diffusible interactions with RNAse. This left only RNA molecules that truly bind to chromatin elements. After RNase treatment, scientists used iMARGI to map RNA-chromatin interactions. iMARGI crosslinks RNA and DNA, creating chimeric sequences that can be read by next-gen sequencing, revealing both the RNA sequence and the specific DNA region it binds to. iMARGI: https://lnkd.in/gW_VQyeK Most interesting finding (imo): RNAse-resistant chromatin-associated RNAs (RI-caRNAs) show high conservation and are enriched at functional genomic sites like promoters, transcription factor binding sites, and histone modifications. They’re also linked to disease genes. I think this dataset could be a treasure trove of insights into gene regulation and genome organization. It would be really interesting to explore RNA’s role in chromatin regulation and transcription factor interactions, as well as its therapeutic potential.