Representation and relative abundance of cell-type selective markers in whole-kidney RNA-Seq data
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ABSTRACT:
PROVIDER: PRJNA438336 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6834770_1.fastq.gz | Fastqsanger.gz | |||
| SRR6834770_2.fastq.gz | Fastqsanger.gz | |||
| SRR6834780_1.fastq.gz | Fastqsanger.gz | |||
| SRR6834780_2.fastq.gz | Fastqsanger.gz | |||
| SRR6834771_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: We used RNA-seq to determine the mRNA species and cell types presented in the whole kidney tissue. Methods: We extracted RNA from the whole kidney tissue and microdissected proximal tubules. cDNA libraries were constructed for paired-end sequencing and sequenced on Illumina HiSeq3000 platform.Reads were mapped to mouse Ensembl Genome by STAR and transcript abundances were calculated in the units of transcripts per million (TPM) using RSEM (https://github.com/deweylab/RSEM). Results and conclusion: Based on a variety of data types we curated a list of 43 cell types that are thought to exist in the kidney. Our data indicated that, If mRNA levels parallel protein levels, the contribution of proximal tubules to total mRNA in the renal tubule is also likely to be in the vicinity of 66%.
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Project description:Bulk-tissue RNA-Seq is increasingly being used in the study of physiological and pathophysiological processes in the kidney; however, the presence of multiple cell types in kidney tissue complicates data interpretation. We addressed the question of which cell types are represented in whole-kidney RNA-Seq data in order to identify circumstances in which bulk-kidney RNA-Seq can be successfully interpreted. We carried out RNA-Seq in mouse whole kidneys and in microdissected renal tubule segments. To aid in the interpretation of the data, we compiled a database of cell-type selective protein markers for 43 cell types believed to be present in kidney tissue. The whole-kidney RNA-Seq analysis identified transcripts corresponding to 17,742 genes, distributed over 5 orders of magnitude of expression level. Markers for all 43 curated cell types were detectable. Analysis of the cellular makeup of mouse and rat kidney, calculated from published literature, suggests that proximal tubule cells account for more than half of the mRNA in a kidney. Comparison of RNA-Seq data from microdissected proximal tubules with data from whole kidney supports this view. RNA-Seq data for cell-type selective markers in bulk-kidney samples provide a valid means to identify changes in minority-cell abundances in kidney tissue. Because proximal tubules make up a substantial fraction of whole-kidney samples, changes in proximal tubule gene expression can be assessed presumptively by bulk-kidney RNA-Seq, although results could potentially be complicated by the presence of mRNA from other cell types.
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Project description:Background: Malaria is a one of the most important infectious diseases and is caused by parasitic protozoa of the genus Plasmodium. Previously, the quantitative characterization of the P. falciparum transcriptome demonstrated that the strictly controlled progression of these parasites through their intra-erythrocytic developmental cycle is accompanied by a continuous cascade of gene expression. Although such analyses have proven immensely useful, the precise correlations between transcript and protein abundance remain under-scrutinized. Results: Here, we present a quantitative time-course analysis of relative protein abundance for schizont-stage parasites (34-46 hours post-invasion) based on 2D-gel electrophoresis of protein samples labeled with DIGE fluorescent dyes. For this purpose we analyzed parasite samples taken at four-hour intervals from a tightly synchronized culture and established more than 500 individual protein abundance profiles with high temporal resolution and quantitative reproducibility. Approximately half of all profiles exhibit a significant change in abundance and 12% display an expression peak during the observed 12-hour time interval. Intriguingly, identification of 54 protein spots by mass spectrometry revealed that 58% of the corresponding proteins including actin-I, enolase, eIF4A, eIF5A, and several heat shock proteins are represented by more than one isoform, presumably due to post-translational modifications, with the various isoforms of a given protein frequently showing different expression patterns. Furthermore, comparisons with transcriptome data generated from the same parasite samples reveal significant post-transcriptional gene expression regulation. Conclusions: Together, our data indicate that both post-transcriptional and post-translational events are widespread and of presumably great biological significance during the intra-erythrocytic development of P. falciparum. Additional comment: In essence, the microarray data generated in this study is a repeat of the transcriptome analysis described in Bozdech et al., PLoS Biol 2003, 1(1):E5. Differences include (1) an improved set of oligonucleotides [see Hu et al., BMC Bioinformatics 2007, 8:350] used in the study associated with this GEO entry, and (2) the sampling at only four timepoints during the intra-erythrocytic development cycle (schizont stage) to match and complement the samples processed in the concomitant proteomics analysis.
2009-02-23 | GSE13251 | GEO
Project description:Background: Malaria is a one of the most important infectious diseases and is caused by parasitic protozoa of the genus Plasmodium. Previously, the quantitative characterization of the P. falciparum transcriptome demonstrated that the strictly controlled progression of these parasites through their intra-erythrocytic developmental cycle is accompanied by a continuous cascade of gene expression. Although such analyses have proven immensely useful, the precise correlations between transcript and protein abundance remain under-scrutinized. Results: Here, we present a quantitative time-course analysis of relative protein abundance for schizont-stage parasites (34-46 hours post-invasion) based on 2D-gel electrophoresis of protein samples labeled with DIGE fluorescent dyes. For this purpose we analyzed parasite samples taken at four-hour intervals from a tightly synchronized culture and established more than 500 individual protein abundance profiles with high temporal resolution and quantitative reproducibility. Approximately half of all profiles exhibit a significant change in abundance and 12% display an expression peak during the observed 12-hour time interval. Intriguingly, identification of 54 protein spots by mass spectrometry revealed that 58% of the corresponding proteins including actin-I, enolase, eIF4A, eIF5A, and several heat shock proteins are represented by more than one isoform, presumably due to post-translational modifications, with the various isoforms of a given protein frequently showing different expression patterns. Furthermore, comparisons with transcriptome data generated from the same parasite samples reveal significant post-transcriptional gene expression regulation. Conclusions: Together, our data indicate that both post-transcriptional and post-translational events are widespread and of presumably great biological significance during the intra-erythrocytic development of P. falciparum. Additional comment: In essence, the microarray data generated in this study is a repeat of the transcriptome analysis described in Bozdech et al., PLoS Biol 2003, 1(1):E5. Differences include (1) an improved set of oligonucleotides [see Hu et al., BMC Bioinformatics 2007, 8:350] used in the study associated with this GEO entry, and (2) the sampling at only four timepoints during the intra-erythrocytic development cycle (schizont stage) to match and complement the samples processed in the concomitant proteomics analysis. Four timepoint samples were harvested from a tightly synchronized 6 liter biofermenter culture of P. falciparum during schizont stage (at 34, 38, 42, and 46 hours post-invasion) and compared against a 3D7 RNA reference pool.
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