Project description:Plasmodium falciparum is the main causative agent of human malaria. During the intraerythrocytic development cycle, P. falciparum morphology changes dramatically from circulating young rings to sequestered mature trophozoites and schizonts. Sequestered forms contribute to the pathophysiology of severe malaria as the infected erythrocytes obstruct the microvascular flow in deep organs and induce local inflammation. However, the sequestration mechanism limits the access to the corresponding parasitic form in clinical samples from patients infected with P. falciparum. To complement this deficiency, we aimed to evaluate the relevance of mRNA study as a proxy of protein expression in sequestered parasites. To do so, we conducted a proteotranscriptomic analysis using five independent P. falciparum laboratory strains samples. RNA sequencing was performed on circulating ring stage parasites and LC-MS/MS on the corresponding sequestered mature forms. All analyzes were performed within the same development cycle for direct individual correlation. mRNA expression level was assessed at the circulating ring stage and the corresponding protein expression level was measured after 18h-24h of maturation to reach the mature trophozoite stage. Overall, our results showed a strong transcriptome/transcriptome and proteome/proteome correlation between samples. Moreover, strong correlations of mRNA and proteins expressions levels were found between ring stage transcriptomes and mature forms proteomes. However, twice more transcripts were identified at ring stage than proteins at mature trophozoite stage. A high level of transcript expression did not guarantee the detection of the corresponding protein. Finally, we pointed out discrepancies at the individual gene level. Taken together, our results show that transcripts and proteins expression are overall correlated. However, mRNA abundance is not a perfect proxy of protein expression at the individual level. Importantly, our study shows limitations of the “blind” use of RNA-seq and the importance of multi-omics approaches for P. falciparum blood stage study in clinical samples.

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.

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.

Project description:Quantitative studies of the P. falciparum transcriptome have shown that the tightly controlled progression of the parasite through the intraerythrocytic developmental cycle (IDC) is accompanied by a continuous gene expression cascade where most expressed genes exhibit a single transcriptional peak. Since proteins represent the decisive business end of gene expression, understanding the correlation between mRNA and protein levels is crucial for inferring biological activity from transcriptional gene expression data. While pertinent studies on other organisms show that as little as 20-40% of protein abundance variation may be attributable to corresponding mRNA levels, the situation in Plasmodium is further complicated by the dynamic nature of the cyclic gene expression cascade where the mRNA levels of most genes change constantly during the IDC. In this study, we simultaneously determined mRNA and protein abundance profiles for P. falciparum parasites during the IDC at 2-hour resolution based on spotted oligonucleotide microarrays and 2D-protein gels in combination with DIGE fluorescent dyes. Intriguingly, most proteins are represented by more than one isoform, presumably due to post-translational modifications. Analysis of 366 protein abundance profiles and the corresponding mRNA levels shows that in 67.2% of cases the protein abundance peaks at least 8 hours after the mRNA level peak. While it may be tempting to interpret this as evidence for widespread post-transcriptional gene regulation additional analyses including computer modeling demonstrate that in >60% of these cases the observed protein profiles including the peak lag times could arise as a consequence of the corresponding mRNA levels when simple translation and degradation dynamics are assumed. We further characterize and illustrate these dynamics and show that even human host proteins within the parasite may be subject to similar dynamics as their parasite counterparts. 24 timepoint samples were harvested from a tightly synchronous 6.5 liter biofermenter culture of P. falciparum (Dd2) at 2-hour intervals during one entire intraerythrocytic developmental cycle and compared against a 3D7 RNA reference pool.

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Comprehensive analysis of transcripts and proteins relative abundance during Plasmodium falciparum blood stages

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