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4771 Results

Showing 1251-1260 of 4771 results
Publications
12/18/16 | Developmentally programmed germ cell remodelling by endodermal cell cannibalism.
Abdu Y, Maniscalco C, Heddleston JM, Chew T, Nance J
Nature Cell Biology. 2016 Dec;18(12):1302-10. doi: 10.1038/ncb3439

Primordial germ cells (PGCs) in many species associate intimately with endodermal cells, but the significance of such interactions is largely unexplored. Here, we show that Caenorhabditis elegans PGCs form lobes that are removed and digested by endodermal cells, dramatically altering PGC size and mitochondrial content. We demonstrate that endodermal cells do not scavenge lobes PGCs shed, but rather, actively remove lobes from the cell body. CED-10 (Rac)-induced actin, DYN-1 (dynamin) and LST-4 (SNX9) transiently surround lobe necks and are required within endodermal cells for lobe scission, suggesting that scission occurs through a mechanism resembling vesicle endocytosis. These findings reveal an unexpected role for endoderm in altering the contents of embryonic PGCs, and define a form of developmentally programmed cell remodelling involving intercellular cannibalism. Active roles for engulfing cells have been proposed in several neuronal remodelling events, suggesting that intercellular cannibalism may be a more widespread method used to shape cells than previously thought.

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People
Devon Cowan
Technology Support Specialist
Publications
01/01/13 | Dfam: a database of repetitive DNA based on profile hidden Markov models.
Wheeler TJ, Clements J, Eddy SR, Hubley R, Jones TA, Jurka J, Smit AF, Finn RD
Nucleic Acids Research. 2013 Jan;41:D70-82. doi: 10.1093/nar/gks1265

We present a database of repetitive DNA elements, called Dfam (http://dfam.janelia.org). Many genomes contain a large fraction of repetitive DNA, much of which is made up of remnants of transposable elements (TEs). Accurate annotation of TEs enables research into their biology and can shed light on the evolutionary processes that shape genomes. Identification and masking of TEs can also greatly simplify many downstream genome annotation and sequence analysis tasks. The commonly used TE annotation tools RepeatMasker and Censor depend on sequence homology search tools such as cross_match and BLAST variants, as well as Repbase, a collection of known TE families each represented by a single consensus sequence. Dfam contains entries corresponding to all Repbase TE entries for which instances have been found in the human genome. Each Dfam entry is represented by a profile hidden Markov model, built from alignments generated using RepeatMasker and Repbase. When used in conjunction with the hidden Markov model search tool nhmmer, Dfam produces a 2.9% increase in coverage over consensus sequence search methods on a large human benchmark, while maintaining low false discovery rates, and coverage of the full human genome is 54.5%. The website provides a collection of tools and data views to support improved TE curation and annotation efforts. Dfam is also available for download in flat file format or in the form of MySQL table dumps.

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People
Di Wu
Senior Scientist
Publications
09/01/11 | DIADEMchallenge.org: a compendium of resources fostering the continuous development of automated neuronal reconstruction.
Gillette TA, Brown KM, Svoboda K, Liu Y, Ascoli GA
Neuroinformatics. 2011 Sep;9(2-3):303-4. doi: 10.1007/s12021-011-9104-3

Concomitant with the publication of this Special Issue of Neuroinformatics, a substantially updated version of the DIADEM web site has been released at http://diademchallenge.org. This web site was originally designed to host the challenge for automating the digital reconstruction of axonal and dendritic morphology (hence the DIADEM acronym). This post-competition version features additional content for continued use as the access point for DIADEM-related material. From the very beginning, one of the spirits of DIADEM has been to share data and resources with the neuroscience research community at large. The resources available from or linked to the DIADEM website constitute a substantial scientific legacy of the 2009/2010 competition. The new content includes finalist algorithms, image stack data, gold standard reconstructions, an updated DIADEM metric, and a retrospective on the competition in text and images.

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