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Next Generation Sequencing Facilitates Quantitative Analysis of Manganese (II) or LPS treated Wild Type BMDC Transcriptomes

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of Manganese (II) or LPS treated Wild Type BMDC Transcriptomes

PROVIDER: PRJNA522454 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8580071_1.fastq.gz	Fastqsanger.gz
	SRR8580071_2.fastq.gz	Fastqsanger.gz
	SRR8580072_1.fastq.gz	Fastqsanger.gz
	SRR8580072_2.fastq.gz	Fastqsanger.gz
	SRR8580073_1.fastq.gz	Fastqsanger.gz

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Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of Manganese (II) or LPS treated Wild Type BMDC Transcriptomes

Project description:Purpose: The goals of this study are to compare the different functions of manganese (II) and LPS on the activation and maturation of antigen presenting cells-BMDCs. Methods: BMDCs were generated by culturing bone marrow cells with 20 ng/ml of IL-4 (Genscript) and 20 ng/ml of GM-CSF (Genscript) at 37°C and 5% CO2 for 7 days.Then BMDCs were treated with MnCl2 (200 μM) or LPS (100 ng/ml) for 20 h. Then mRNAs were purified, sequenced and analyzed. Results: Using an optimized data analysis workflow, we compared 20339 transcripts in BMDCs. Manganese (II) induced 1677 transcripts expression with a fold change ≥1.5 and LPS induced 1555 transcripts expression with a fold change ≥1.5. Conclusion: Manganese (II) activates the production of type I IFNs and the maturation of BMDCs. But there are also some differences between functions of manganese (II) and LPS on BMDCs.

2021-05-12 | GSE126586 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes III

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived WT or Bat3 KO BMDC transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2022-01-11 | GSE169663 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes I

2022-01-11 | GSE169530 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes

| PRJNA717286 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes III

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes III

| PRJNA717287 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes I

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes I

| PRJNA716971 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes II

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Bat3-/- BMDC Transcriptomes II

| PRJNA716996 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of dendritic cell Transcriptomes during LPS response

Project description:Purpose:The purpose of this study is to detect activated or silenced genes during LPS-induced dendritic cell. Gene expression differences between two samples could be found using transcriptome profiling (RNA-seq) analysis. Methods:Mouse dendritic cells were generated from bone marrow cells in RPMI-1640 medium with recombinant mouse GM-CSF and IL-4, immature DCs were obtained before or after LPS stimulation. Immature DCs were sorted respectively based on marker CD86 and Iab(MHCII) using flowcytrometer. DC mRNA profiles were generated by deep sequencing,using Illumina. Results: We mapped about 10 million sequence reads per sample to the mouse genome, identified hundreds of genes with significant mRNA variation during LPS stimulation. DC mRNA profiles immature BMDCs were generated by deep sequencing

2015-09-11 | E-GEOD-69256 | biostudies-arrayexpress

Next Generation Sequencing Facilitates Quantitative Analysis of LPS treated THP-1 cells' Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of LPS treated THP-1 cells' Transcriptomes

| PRJNA779446 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of LPS treated THP-1 cells' Transcriptomes

Project description:In order to understand the consequences of the LPS from different bacterias, we analyzed RNA gene expression profiles in a human myeloid cell line THP-1 cells. RNA-seq transcriptome was analyzed in THP-1 cells treated with LPS from three bacteria B. fungorum, S. marcescens, and P. myrsinacearum.

2021-11-11 | GSE188578 | GEO

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