Institution
Sant'Anna School of Advanced Studies
Education•Pisa, Toscana, Italy•
About: Sant'Anna School of Advanced Studies is a education organization based out in Pisa, Toscana, Italy. It is known for research contribution in the topics: Population & Robot. The organization has 2543 authors who have published 9537 publications receiving 222024 citations. The organization is also known as: Scuola Superiore di Studi Universitari e di Perfezionamento "Sant' Anna" & SSSUP.
Papers published on a yearly basis
Papers
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TL;DR: A high-quality genome sequence of domesticated tomato is presented, a draft sequence of its closest wild relative, Solanum pimpinellifolium, is compared, and the two tomato genomes are compared to each other and to the potato genome.
Abstract: Tomato (Solanum lycopersicum) is a major crop plant and a model system for fruit development. Solanum is one of the largest angiosperm genera1 and includes annual and perennial plants from diverse habitats. Here we present a high-quality genome sequence of domesticated tomato, a draft sequence of its closest wild relative, Solanum pimpinellifolium2, and compare them to each other and to the potato genome (Solanum tuberosum). The two tomato genomes show only 0.6% nucleotide divergence and signs of recent admixture, but show more than 8% divergence from potato, with nine large and several smaller inversions. In contrast to Arabidopsis, but similar to soybean, tomato and potato small RNAs map predominantly to gene-rich chromosomal regions, including gene promoters. The Solanum lineage has experienced two consecutive genome triplications: one that is ancient and shared with rosids, and a more recent one. These triplications set the stage for the neofunctionalization of genes controlling fruit characteristics, such as colour and fleshiness.
2,687 citations
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2,373 citations
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TL;DR: Emerging soft-bodied robotic systems are reviewed to endow robots with new, bioinspired capabilities that permit adaptive, flexible interactions with unpredictable environments and to reduce the mechanical and algorithmic complexity involved in robot design.
1,604 citations
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Science for Life Laboratory1, Umeå University2, Sant'Anna School of Advanced Studies3, Ghent University4, Royal Institute of Technology5, University of Udine6, Swedish University of Agricultural Sciences7, University of Jena8, Uppsala University9, Children's Hospital Oakland10, University of British Columbia11, University of Valencia12, Laval University13, Stockholm University14, Norwegian University of Life Sciences15
TL;DR: The draft assembly of the 20-gigabase genome of Norway spruce (Picea abies), the first available for any gymnosperm, is presented, revealing numerous long (>10,000 base pairs) introns, gene-like fragments, uncharacterized long non-coding RNAs and short RNAs, which opens up new genomic avenues for conifer forestry and breeding.
Abstract: Conifers have dominated forests for more than 200 million years and are of huge ecological and economic importance. Here we present the draft assembly of the 20-gigabase genome of Norway spruce (Picea abies), the first available for any gymnosperm. The number of well-supported genes (28,354) is similar to the >100 times smaller genome of Arabidopsis thaliana, and there is no evidence of a recent whole-genome duplication in the gymnosperm lineage. Instead, the large genome size seems to result from the slow and steady accumulation of a diverse set of long-terminal repeat transposable elements, possibly owing to the lack of an efficient elimination mechanism. Comparative sequencing of Pinus sylvestris, Abies sibirica, Juniperus communis, Taxus baccata and Gnetum gnemon reveals that the transposable element diversity is shared among extant conifers. Expression of 24-nucleotide small RNAs, previously implicated in transposable element silencing, is tissue-specific and much lower than in other plants. We further identify numerous long (>10,000 base pairs) introns, gene-like fragments, uncharacterized long non-coding RNAs and short RNAs. This opens up new genomic avenues for conifer forestry and breeding.
1,299 citations
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TL;DR: A novel approach to generate transplantable liver grafts using decellularized liver matrix that preserves the structural and functional characteristics of the native microvascular network, allowing efficient recellularization of the liver matrix with adult hepatocytes and subsequent perfusion for in vitro culture.
Abstract: Orthotopic liver transplantation is the only available treatment for severe liver failure, but it is currently limited by organ shortage. One technical challenge that has thus far limited the development of a tissue-engineered liver graft is oxygen and nutrient transport. Here we demonstrate a novel approach to generate transplantable liver grafts using decellularized liver matrix. The decellularization process preserves the structural and functional characteristics of the native microvascular network, allowing efficient recellularization of the liver matrix with adult hepatocytes and subsequent perfusion for in vitro culture. The recellularized graft supports liver-specific function including albumin secretion, urea synthesis and cytochrome P450 expression at comparable levels to normal liver in vitro. The recellularized liver grafts can be transplanted into rats, supporting hepatocyte survival and function with minimal ischemic damage. These results provide a proof of principle for the generation of a transplantable liver graft as a potential treatment for liver disease.
1,252 citations
Authors
Showing all 2616 results
Name | H-index | Papers | Citations |
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Francesca Romana Cavallo | 135 | 1571 | 92392 |
Masashi Yanagisawa | 130 | 524 | 83631 |
V. Monaco | 96 | 678 | 43604 |
F. Bianchi | 91 | 1370 | 40011 |
Paolo Dario | 86 | 1034 | 31541 |
Anthony V. D'Amico | 84 | 678 | 38333 |
Giovanni Dosi | 81 | 435 | 40691 |
Paolo Pagano | 81 | 278 | 19877 |
Gene E. Alexander | 78 | 281 | 23682 |
Amalia Gastaldelli | 77 | 336 | 24081 |
Mark R. Cutkosky | 77 | 393 | 20600 |
Alfred Cuschieri | 74 | 432 | 22973 |
Massimo F Piepoli | 73 | 366 | 58042 |
Guang-Zhong Yang | 72 | 1007 | 26639 |
William L. Farrar | 71 | 214 | 15336 |