Multi-omics analysis of aggregative multicellularity
Ontology highlight
ABSTRACT:
ORGANISM(S): Dictyostelium discoideum
PROVIDER: GSE249880 | GEO | 2024/05/30
REPOSITORIES: GEO
Similar Datasets
Project description:The extent to which mRNA and protein levels correlate is still not fully known, especially during development, when cells undergo a major transition in gene expression. One organism with particular development is Dictyostelium discoideum, during which it transitions from free-living unicellular to multicellular. Previously the transcriptome has been thoroughly studied during multicellular development, however the proteome and its correlation to the transcriptome during this transition is not fully understood.
In this study, for the first time, paired transcriptomics and proteomics was performed in a time series during aggregative multicellularity. From the analysis, the majority of transcripts were identified as differentially expressed, and we could quantify roughly a third of the proteome during early multicellular development. The proteome and transcriptome correlate relatively highly during steady-state, however this decreases as soon as multicellular aggregation is initiated. Correlation is particularly low at the gene-level during development. We find that dynamically regulated mRNA often leads to linear up- or downregulation of the protein, and that there is a time lag of approximately 2 to 4 hours between mRNA and protein.
2023-12-09 | MSV000093620 | MassIVE
Project description:Multi-omics analysis of aggregative multicellularity
| PRJNA1051075 | ENA
Project description:Small non-coding RNAs (sRNAs) are essential in regulating gene expression during many biological processes. In myxobacteria, the gene pxr encodes for an sRNA known to block the activation of fruiting body development, an aggregative multicellular process triggered by starvation. However, a comprehensive list of potential targets of Pxr and whether these are indeed associated with development still needs to be determined. Here, we profiled the transcriptome of vegetative cells lacking pxr and obtained a list of genes affected by the absence of this sRNA. Interestingly, we found that the absence of pxr influences the expression of genes associated with metabolic processes in general. However, our experiment strengthened the association between pxr and aggregative development with more than half of the differentially expressed genes linked to fruiting body formation. By ours with previously published data, we identified critical factors of myxobacteria aggregative multicellularity as potential pxr targets combining. Moreover, our study supports the existence of additional not yet described genes relevant to fruiting body development that Pxr possibly controls. Among them, we identify pxrA, a novel gene encoding for a GNAT-acetyltransferase that we showed to be important to fruiting body development and associated with pxr expression. We additionally found that the altered expression of developmental genes caused by the absence of pxr correlates with a dramatic variation in the temporal dynamics of development, thus suggesting an important role of this sRNA in myxobacteria ecology.
2024-05-06 | GSE265958 | GEO
Project description:The long-standing view of 'immortal germ line versus mortal soma' poses a fundamental question in biology concerning how oocytes age in molecular terms. A mainstream hypothesis is that maternal aging of oocytes has its roots in gene transcription. Investigating the proteins resulting from mRNA translation would reveal how far the levels of functionally available proteins correlate with mRNAs, and would offer novel insight into the changes oocytes undergo during maternal aging. Gene ontology semantic analysis reveals the high similarity of the detected proteome (2,324 proteins) to the transcriptome (22,334 mRNAs), though not all proteins have a cognate mRNA. Concerning their dynamics, 4-fold changes of abundance are more frequent in the proteome (3%) than the transcriptome (0.05%), with correlation. Whereas proteins associated with the nucleus (e.g. structural maintenance of chromosomes, spindle-assembly checkpoints) are largely represented among those that change in oocytes during maternal aging; proteins associated with oxidative stress/damage (e.g. superoxide dismutase) are infrequent. These quantitative alterations are either impoverishing or enriching. Using gene ontology analysis, these alterations do not relate in any simple way to the classic signature of aging known from somatic tissues. We conclude that proteome analysis of mouse oocytes may not be surrogated with transcriptome analysis, given the lack of correlation. Furthermore, we conclude that the classic features of aging may not be transposed from somatic tissues to oocytes in a one-to-one fashion. Overall, there is more to the maternal aging of oocytes than mere cellular deterioration exemplified by the notorious increase of meiotic aneuploidy. Three pools of 20 zona-enclosed B6C3F1 oocytes from each age group were subjected for experiment.
2014-04-15 | E-GEOD-42959 | biostudies-arrayexpress
Project description:Dictyostelium discoideum behavior depends on nutrients1. When sufficient food is present these amoebae exist in a unicellular state, but upon starvation they aggregate into a multicellular organism2,3. This unique biology makes D. discoideum an ideal model for investigating how fundamental metabolic pathways command cell differentiation and function. We show here that reactive oxygen species (ROS), generated as a consequence of nutrient limitation, lead to the sequestration of the amino acid cysteine in the antioxidant glutathione, limiting the use of its sulfur atom for processes such as protein translation and FeS cluster-containing enzyme activity that contribute to mitochondrial metabolism and cellular proliferation. Such regulated sulfur sequestration maintains D. discoideum in a non-proliferating state that paves the way for multicellular development. This new mechanism of ROS signaling highlights oxygen and sulfur as simple, early evolutionary signaling molecules dictating cell fate, with implications for responses to nutrient fluctuations in higher eukaryotes.
2021-02-24 | GSE164010 | GEO
Project description:Dictyostelium discoideum behavior depends on nutrients1. When sufficient food is present these amoebae exist in a unicellular state, but upon starvation they aggregate into a multicellular organism2,3. This unique biology makes D. discoideum an ideal model for investigating how fundamental metabolic pathways command cell differentiation and function. We show here that reactive oxygen species (ROS), generated as a consequence of nutrient limitation, lead to the sequestration of the amino acid cysteine in the antioxidant glutathione, limiting the use of its sulfur atom for processes such as protein translation and FeS cluster-containing enzyme activity that contribute to mitochondrial metabolism and cellular proliferation. Such regulated sulfur sequestration maintains D. discoideum in a non-proliferating state that paves the way for multicellular development. This new mechanism of ROS signaling highlights oxygen and sulfur as simple, early evolutionary signaling molecules dictating cell fate, with implications for responses to nutrient fluctuations in higher eukaryotes.
2021-02-24 | GSE164009 | GEO
Project description:The long-standing view of 'immortal germ line versus mortal soma' poses a fundamental question in biology concerning how oocytes age in molecular terms. A mainstream hypothesis is that maternal aging of oocytes has its roots in gene transcription. Investigating the proteins resulting from mRNA translation would reveal how far the levels of functionally available proteins correlate with mRNAs, and would offer novel insight into the changes oocytes undergo during maternal aging. Gene ontology semantic analysis reveals the high similarity of the detected proteome (2,324 proteins) to the transcriptome (22,334 mRNAs), though not all proteins have a cognate mRNA. Concerning their dynamics, 4-fold changes of abundance are more frequent in the proteome (3%) than the transcriptome (0.05%), with correlation. Whereas proteins associated with the nucleus (e.g. structural maintenance of chromosomes, spindle-assembly checkpoints) are largely represented among those that change in oocytes during maternal aging; proteins associated with oxidative stress/damage (e.g. superoxide dismutase) are infrequent. These quantitative alterations are either impoverishing or enriching. Using gene ontology analysis, these alterations do not relate in any simple way to the classic signature of aging known from somatic tissues. We conclude that proteome analysis of mouse oocytes may not be surrogated with transcriptome analysis, given the lack of correlation. Furthermore, we conclude that the classic features of aging may not be transposed from somatic tissues to oocytes in a one-to-one fashion. Overall, there is more to the maternal aging of oocytes than mere cellular deterioration exemplified by the notorious increase of meiotic aneuploidy.
2014-04-15 | GSE42959 | GEO
Project description:To gain a comprehensive systems-level understanding of cellular phenotypes, it is critical to characterize the relationship between the dynamic transcriptome and proteome during environmental perturbations. Previous comparisons have shown a lack of correlation between mRNA and protein level measurements suggesting a predominant role for post-transcriptional regulation in mediating cellular environmental responses. To investigate the extent of post-transcriptional regulation, we have analyzed transcriptome and proteome level changes over a 13-hour 28-point time course during transitions between oxic and anoxic physiologies of Halobacterium. Integrated computational analyses of these data show that temporally shifting mRNA and protein profiles relative to one another significantly increases the mRNA/protein correlation. Although time lags for unrelated genes vary widely, we observe similar temporal lags between the transcription and translation of functionally related genes. In contrast, no significant temporal separation was observed within the transcript profiles. Taken together, these data suggest that while there is indeed a direct correlation between many corresponding changes at mRNA and protein levels, translational delay may be the predominant mechanism for the temporal regulation of protein abundance during physiological oxic/anoxic transitions in Halobacterium. The approach and algorithms delineated in this study provide a framework for incorporating the temporal dimension of information processing across many different layers of gene regulation. Keywords: time course
2007-07-31 | GSE5924 | GEO
Project description:For the anucleate platelet it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA profiling platforms, and what the transcriptomes’ relationship is with the platelet proteome. We generated RNA-seq pro-files of the long RNA transcriptomes from the platelets of 10 healthy young males (5 white and 5 black) with median age of 24.5 years, no notable clinical history, and no pre-vious history of thrombosis or bleeding. We also profiled the subjects’ messenger RNAs using the Affymetrix microarray gene expression system. We found that the abundance of platelet mRNA transcripts was highly correlated across the 10 individuals, inde-pendently of race and of the employed technology. Our RNA-seq data also showed that these high inter-individual correlations extend beyond mRNAs to several categories of non-coding RNAs. Pseudogenes represented a notable exception to this by exhibiting a clear difference in expression by race. Comparison of our mRNA signatures with the only publicly available quantitative platelet proteome data showed that most (87.5%) identified platelet proteins had a detectable corresponding mRNA. However, a high number of mRNAs that were present in the transcriptomes of all 10 individuals had no representa-tion in the proteome. The Spearman correlation of the relative abundances for those platelet genes that were represented by both an mRNA and a protein showed a weak (~0.3) yet statistically significant (P=5.0E-16) connection. Further analysis of the overlap-ping and non-overlapping platelet mRNAs and proteins identified gene groups corre-sponding to distinct cellular processes, a finding that provides novel insights for platelet biology. This represents the Affymetrix GeneChip component of the study only 10 Resting Human Platelet samples
2015-01-20 | E-GEOD-50858 | biostudies-arrayexpress
Project description:The evolution of complex multicellularity has been one of the major transitions in the history of life. In contrast to simple multicellular aggregates of cells, it has evolved only in a handful of lineages, including the animals, embryophytes, red and brown algae and fungi. Despite being a key step towards the evolution of complex organisms, the evolutionary origins and the genetic underpinnings of complex multicellularity are incompletely known. We constructed a reference atlas of mushroom formation based on developmental transcriptome data of six species and comparisons of >200 whole genomes, to elucidate the core genetic program of complex multicellularity and fruiting body development in mushroom-forming fungi (Agaricomycetes). Nearly 300 conserved gene families and >70 functional groups contained developmentally regulated genes from five to six species, covering functions related to fungal cell wall (FCW) remodeling, targeted protein degradation, signal transduction, adhesion and small secreted proteins (including effector-like orphan genes). Several of these families, including F-box proteins, expansin-like proteins, protein kinases, and transcription factors, showed expansions in Agaricomycetes, with from which many convergently expandedwere identified in multicellular plants and/or animals too, assuming convergent solutions to genetic hurdles imposed by complex multicellularity among independently evolved lineages. This study provides a novel entry point to studying mushroom development and complex multicellularity in one of the largest clades of complex eukaryotic organisms.
2019-03-16 | GSE125198 | GEO