The development of next-generation sequencing (NGS) approaches to investigate the functioning of RNA polymerases has led to groundbreaking advances in the field of transcriptional regulation. One powerful method, Precision nuclear Run-On sequencing (PRO-seq), maps the locations of RNA polymerase active...
We provide a protocol for precision nuclear run-on sequencing (PRO-seq) and its variant, PRO-cap, which map the location of active RNA polymerases (PRO-seq) or transcription start sites (TSSs) (PRO-cap) genome-wide at high resolution. The density of RNA polymerases at a particular genomic...
类型:Precision ID Chef and Sequencing Kit 内容及储存 ? Ion S5 Precision ID Chef 解决方案,室温储存 ? Ion S5 Precision ID Chef 耗材,室温储存 ? Ion S5 Precision ID Chef 试剂,储存于 -5°C 至 -30°C ? Ion S5 Precision ID 测序解决方案,室温储存 ...
Genomic data, derived from DNA and RNA sequencing, transcriptomic analysis, and methylation analysis, aids in classifying subtypes and predicting tumor aggressiveness33. Moreover, prominent molecular biomarkers play a pivotal role in discriminating between brain tumor subtypes1,9,34. These include ...
SeqsLab reduces the time required for whole genome sequencing (WGS) from 5 hours to just 10 minutes. Additionally, withNVIDIA RAPIDS, an open-source suite of GPU-accelerated data science and AI libraries, the platform can perform RNA sequencing in 10 minutes instead of over 2 hours, achieving...
Final libraries were diluted to 2nM for paired end (150bp) sequencing on a NovaSeq sequencer (Illumina Inc.). Bulk RNA Sequencing To investigate alterations in gene expression, bulk RNA sequencing (RNA-seq) was performed using RNA extracted from PAXgene blood samples. The whole-blood PAXgene ...
DoMY-Seq, Protein Domain mapping using Yeast 2 Hybrid-Next Generation Sequencing. Generation and optimization of PPI motif libraries To develop a reliable and optimized method for generation of a library from a plasmid encoding for a protein of interest, we used the interacting partners KRAS (the...
We used RNA-Seq (Illumina HiSeq 2000 RNA Sequencing Version 2) Level 3 data from TCGA (http://cancergenome.nih.gov/) project, normalized with RSEM46. The 40 genes studied were selected from the autophagy pathway (hsa04140) curated by KEGG (http://www.genome.jp/). We considered tissue...
expression on single cells from human primary solid tumors of at least two patients and the metadata are consistent with the primary data. We did not impose any sequencing depth threshold and we included data sets from different technologies (including both SmartSeq2 and 10x). We excluded some ...
RNA samples were subjected to whole transcriptome sequencing by Novogene. Samples were sequenced in triplicate. After quality control, an RNA library was constructed and quantified. The quantified libraries were pooled and sequenced on Illumina platforms. Raw reads were first processed through in-house...