Single-cell sequencing of T cells harvested 4 hours after preparation by different methods
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA828123 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We successfully develop a two-in-one approach to generate non-viral genome specific targeted CAR T cells through CRISPR/Cas9. In the adoptive therapy for relapsed/refractory aggressive B-cell non-Hodgkin lymphoma, we observed durable responses without serious adverse events and complete remission in patients treated with these PD1 knockout CAR T cells. Here we applied single-cell sequencing to analyze the characteristcis of T cells harvested 4 hours after preparation by different methods.
2022-06-20 | GSE201035 | GEO
Project description:Comparison of library preparation methods using Cryptococcus neoformans var. grubii
| PRJEB7411 | ENA
Project description:Evaluating different library preparation methods for Pool-seq
| PRJEB8948 | ENA
Project description:Peripheral blood is an accessible and informative source of transcriptomal information for many human disease and pharmacogenomic studies. While there can be significant advantages to analyzing RNA isolated from whole blood, particularly in clinical studies, the preparation of samples for microarray analysis is complicated by the need to minimize artifacts associated with highly abundant globin RNA transcripts. The impact of globin RNA transcripts on expression profiling data can potentially be reduced by using RNA preparation and labeling methods that remove or block globin RNA during the microarray assay. We compared four different methods for preparing microarray hybridization targets from human whole blood collected in PAXGene tubes. Three of the methods utilized the Affymetrix one-cycle cDNA synthesis/in vitro transcription protocol but varied treatment of input RNA as follows: i. no treatment; ii. treatment with GLOBINclear; or iii. treatment with globin PNA oligos. In the fourth method cDNA targets were prepared with the Ovation amplification and labeling system. Results: We find that microarray targets generated with labeling methods that reduce globin mRNA levels or minimize the impact of globin transcripts during hybridization detect more transcripts in the microarray assay compared with the standard Affymetrix method. Comparison of microarray results with quantitative PCR analysis of a panel of genes from the NF-kappa B pathway shows good correlation of transcript measurements produced with all four target preparation methods, although method-specific differences in overall correlation were observed. The impact of freezing blood collected in PAXGene tubes on data reproducibility was also examined. Expression profiles show little or no difference when RNA is extracted from either fresh or frozen blood samples. Conclusion: RNA preparation and labeling methods designed to reduce the impact of globin mRNA transcripts can significantly improve the sensitivity of the DNA microarray expression profiling assay for whole blood samples. While blockage of globin transcripts during first strand cDNA synthesis with globin PNAs resulted in the best overall performance in this study, we conclude that selection of a protocol for expression profiling studies in blood should depend on several factors, including implementation requirements of the method and study design. RNA isolated from either freshly collected or frozen blood samples stored in PAXGene tubes can be used without altering gene expression profiles. Keywords: Whole Blood, Protocol Variation, Expression Profiling, Microarray, globin, PAXGene, PNA
2009-01-30 | GSE13292 | GEO
Project description:Bacterial communities in different tillage methods
| PRJEB46144 | ENA
Project description:Fungal communities in different tillage methods
| PRJEB46147 | ENA
Project description:Many library preparation methods are available for gene expression quantification. Here, we sequenced and analysed Universal Human Reference RNA (UHRR) prepared using Smart-Seq2, TruSeq (public data) and a protocol using unique molecular identifiers (UMIs) that all include the ERCC spike-in mRNAs to investigate the effects of amplification bias on expression quantification. UHRR 10 and 12 replicates for Smart-seq2 and UMI-seq library preparation methods, respectively.
2016-05-13 | E-GEOD-75823 | biostudies-arrayexpress
Project description:Performance comparison of small RNA-Seq library preparation methods for biofluid samples
| PRJNA628969 | ENA
Project description:Many library preparation methods are available for gene expression quantification. Here, we sequenced and analysed Universal Human Reference RNA (UHRR) prepared using Smart-Seq2, TruSeq (public data) and a protocol using unique molecular identifiers (UMIs) that all include the ERCC spike-in mRNAs to investigate the effects of amplification bias on expression quantification.
2016-05-13 | GSE75823 | GEO
Project description:We tested four gene enrichment and complexity reduction target preparation methods for scoring SFPs on the Affymetrix GeneChip 18k Maize Genome Array (Maize GeneChip). Methylation filtration (MF), Cot filtration (CF), mRNA-derived cRNA, and amplified fragment length polymorphism (AFLP) methods were applied to three diverse maize inbred lines (B73, Mo17, and CML69) with three replications per line (36 Maize GeneChips). Due to large amounts of repetitive, mobile DNA, the maize genome requires a target preparation method that offers both a high level of gene enrichment and accurate scoring of SFPs. The objectives of this research are (i) to determine which target preparation method (CF, MF, mRNA, or AFLP) optimally enriches for gene sequences complementary to probe sequences on the Affymetrix GeneChip Maize Genome Array and (ii) to estimate SFP detection power for each target method. The AFLP technology is covered by patents, and patent applications owned by Keygene N.V. AFLP is a registered trademark of Keygene N.V. GeneChip. This work was supported in part by U.S. National Science Foundation grant DBI-0321467 and USDA-ARS. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Michael Gore. The equivalent experiment is ZM10 at PLEXdb.]
2008-09-16 | GSE12770 | GEO