Search

How cells adopt different expression patterns is a fundamental question of developmental biology. We quantitatively measured reporter expression of 127 genes, primarily transcription factors, in every cell and with high temporal resolution in C. elegans embryos. Embryonic cells are highly distinct in their gene expression; expression of the 127 genes studied here can distinguish nearly all pairs of cells, even between cells of the same tissue type. We observed recurrent lineage-regulated expression patterns for many genes in diverse contexts. These patterns are regulated in part by the TCF-LEF transcription factor POP-1. Other genes' reporters exhibited patterns correlated with tissue, position, and left-right asymmetry. Sequential patterns both within tissues and series of sublineages suggest regulatory pathways. Expression patterns often differ between embryonic and larval stages for the same genes, emphasizing the importance of profiling expression in different stages. This work greatly expands the number of genes in each of these categories and provides the first large-scale, digitally based, cellular resolution compendium of gene expression dynamics in live animals. The resulting data sets will be a useful resource for future research.

end-1 and end-3 are GATA transcription factors important for specifying endoderm cell fate in Caenorhabditis elegans. Deletion of both factors together results in larval arrest, 0% survival and a fate change in the endoderm-specifying E lineage. Individual deletions of either factor, however, result in the development of viable, fertile adults, with 100% of worms developing to adults for end-1(-) and 95% for end-3(-). We sought to quantify the variable phenotypes seen in both deletions using automated cell lineaging. We quantified defects in cell lifetime, cell movement and division axis in end-3(-) embryos, while quantifying perturbations in downstream reporter gene expression in strains with homozygous deletions for either gene, showing that each deletion leads to a unique profile of downstream perturbations in gene expression and cellular phenotypes with a high correlation between early and late defects. Combining observations in both cellular and gene expression defects we found that misaligned divisions at the E2 stage resulted in ectopic expression of the Notch target ref-1 in end-3(-) embryos. Using a maximum likelihood phylogenetic approach we found end-1 and end-3 split to form two distinct clades within the Caenorhabditis lineage with distinct DNA-binding structures. These results indicate that end-1 and end-3 have each evolved into genes with unique functions during endoderm development, that end-3(-) embryos have a delay in the onset of E lineage cell fate and that end-1 has only a partially penetrant ability to activate E lineage fate., (Copyright © 2011. Published by Elsevier Inc.)

The C. elegans cell lineage provides a unique opportunity to look at how cell lineage affects patterns of gene expression. We developed an automatic cell lineage analyzer that converts high-resolution images of worms into a data table showing fluorescence expression with single-cell resolution. We generated expression profiles of 93 genes in 363 specific cells from L1 stage larvae and found that cells with identical fates can be formed by different gene regulatory pathways. Molecular signatures identified repeating cell fate modules within the cell lineage and enabled the generation of a molecular differentiation map that reveals points in the cell lineage when developmental fates of daughter cells begin to diverge. These results demonstrate insights that become possible using computational approaches to analyze quantitative expression from many genes in parallel using a digital gene expression atlas.

Comparative genomic analysis of important signaling pathways in Caenorhabditis briggsae and Caenorhabditis elegans reveals both conserved features and also differences. To build a framework to address the significance of these features we determined the C. briggsae embryonic cell lineage, using the tools StarryNite and AceTree. We traced both cell divisions and cell positions for all cells through all but the last round of cell division and for selected cells through the final round. We found the lineage to be remarkably similar to that of C. elegans. Not only did the founder cells give rise to similar numbers of progeny, the relative cell division timing and positions were largely maintained. These lineage similarities appear to give rise to similar cell fates as judged both by the positions of lineally equivalent cells and by the patterns of cell deaths in both species. However, some reproducible differences were seen, e.g., the P4 cell cycle length is more than 40% longer in C. briggsae than that in C. elegans (p<0.01). The extensive conservation of embryonic development between such divergent species suggests that substantial evolutionary distance between these two species has not altered these early developmental cellular events, although the developmental defects of transpecies hybrids suggest that the details of the underlying molecular pathways have diverged sufficiently so as to not be interchangeable.

Sequences similar to mitochondrial large and small subunit rRNAs are found as small scattered fragments on a tandemly reiterated 6 kb element in the human malaria parasite Plasmodium falciparum. The rDNA sequences previously identified include strongly conserved portions of rRNA, suggesting that fragmented rRNAs derived from them are able to associate into functional ribosomes. However, sequences corresponding to other expected rRNA regions were not found. We here report that 10 of the 13 previously described rDNA regions have abundant small transcripts. An additional 10 transcripts were found from regions not previously known to contain genes. Five of the latter have been identified as rRNA fragments, including those corresponding to the 5'end and 790 loop sequences of small subunit rRNA and the sarcin/ ricin loop of large subunit rRNA. Demonstration that most of the previously described rDNA regions have abundant transcripts and the identification of new transcripts with other portions of conventional rRNAs provide support for the hypothesis that these small transcripts comprise functional rRNAs.