RT @frogwranglers: Asking for an extension to your NIH grant ESI status is easy in eRA commons. Look into it! Lots of eligible reasons to e….

RT @LCochella: New chapter! With Nuria @flames66140 and @rich_j_p we wrote Neurogenesis in C. elegans, now in Genet….

RT @arjunrajlab: Same cell type, same trans environment, same sequence—different expression pattern. Locking in of stochastic differences i….

RT @ericjoycelab: Penn's Department of Genetics has several new tenure-track assistant professor openings. Please help spread the word!.htt….

RT @arjunrajlab: Excited to launch our cloud-based image analysis platform today at Analyze and interact with your….

RT @CAMBUpenn: Felicia Peng @catpotatotweets from the @jisaacmurray Lab defends on Monday!

Drives me nuts that @peacock cuts away from the middle half of the 800 and 1500 free for commercials on their Olympic trials coverage - that is actually the part of the race where the race is often won or lost. It’s not that long, show us the whole race!.

RT @gerapti: Are you a C. elegans researcher wishing to learn cutting-edge techniques or a non C. elegans researcher wishing to get introdu….

#TAGC24 kicking off with some truly inspiring awardees including the worm community’s own Paul Sternberg receiving the Thomas Hunt Morgan medal. Looking forward to 4 days of great science with old and new friends!

RT @DrCJ_Houldcroft: Erm, how did Figure 1 get past a peer reviewer?! H/T @aero_anna

RT @uffdaALLberries: 1/ Happy to share that our work with @arjunrajlab is finally out: We use clone barcoding to i….

13/13.The data are available in VisCello format for visualization or further analysis to anyone who is interested We hope they provide a useful resource for the community in dissecting mechanisms of evolutionary change in expression patterns.

12/13.While this post has highlighted broad trends, the dataset identifies many examples of genes with interesting patterns of divergence, including in expression timing (heterochrony) and differential usage of paralogous genes in the two species.

11/13.The modest number of shared progenitor markers are highly enriched for known lineage-specifying TFs. Most of these have nearly identical expression in the two species, suggesting that the conserved lineage largely results from conserved regulatory networks.

10/13.This trend is especially striking in progenitors; the earliest progenitors tend to have many non-1:1 orthologous markers and relatively few shared markers, with non-1:1 markers decreasing and shared markers increasing over developmental time.

9/13.Turning to genes that are not 1:1 orthologs, several interesting patterns emerged. First, a subset of cell types, especially sensory neurons and the somatic gonad precursors, have many more specific markers in both species with complex orthology relationships.

8/13.On average, progenitor cell states appear more divergent at early stages and most similar around the 200-cell stage. However this average masks a high degree of variability in expression conservation over time in different developmental trajectories.

7/13.Comparing cell types, we found the highest conservation of expression in the germline, followed by intestine, muscle and skin, while expression of neurons, glia and rectal cells were more variable.

6/13.Genes with conserved expression were enriched for functions associated with development or core cell functions, such as transcription factors, cell cycle genes, and muscle function, while genes involved in neuronal perception and signaling were often more variable.

5/13.Focusing first on ~12,000 1:1 orthologous genes, we found that both breadth and pattern of expression were highly conserved between the species for a large proportion of highly-expressed genes. However genes with weaker expression were less conserved.