cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.6679
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 40940

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 40940 (X) Source: VDRC Name: mesh (1) Full name: mesh Also known as: Annotation symbol: CG31004 FlyBase ID: FBgn0051004 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6893
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 18497R-1

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 18497R-1 (III) Source: NIG Name: spen (1) Full name: split ends Also known as: poc, l(2)03350, l(2)k08102, rno, l(2)k07612 Annotation symbol: CG18497 FlyBase ID: FBgn0016977 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6894
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 48846

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 48846 (III) Source: VDRC Name: spen (2) Full name: split ends Also known as: poc, l(2)03350, l(2)k08102, rno, l(2)k07612 Annotation symbol: CG18497 FlyBase ID: FBgn0016977 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6895
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 9334R-3

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 9334R-3 (III) Source: NIG Name: Spn38F Full name: Serpin 38F Also known as: Spn3, sp3 Annotation symbol: CG9334 FlyBase ID: FBgn0028986 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.15468/dl.dcwtjg
title: Occurrence Download

description: A dataset containing 24537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Sphyrna lewini (Griffith & Smith, 1834), Sphyrna zygaena (Linnaeus, 1758), Sphyrna corona Springer, 1940, Sphyrna couardi Cadenat, 1951, Sphyrna mokarran (Rüppell, 1837), Sphyrna tiburo (Linnaeus, 1758), Sphyrna media Springer, 1940, Sphyrna tudes (Valenciennes, 1822))"
 ]
}

 The dataset includes 24537 records from 264 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007079-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.6892
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 45482

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 45482 (III) Source: VDRC Name: Sox15 Full name: Sox box protein 15 Also known as: SoxE, SoxF Annotation symbol: CG8404 FlyBase ID: FBgn0005613 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6840
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 3423R-2

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 3423R-2 (III) Source: NIG Name: SA (1) Full name: Stromalin Also known as: SCC3, DSA1, DmSA Annotation symbol: CG3423 FlyBase ID: FBgn0020616 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.373
title: Data for "Mammalian behvior and physiology converge to confirm sharper cochlear tuning in humans"

description: These are the data for the paper entitled "Mammalian behavior and physiology confirm to confirm sharper cochlear tuning in humans"
DOI: 10.17639/nott.37
title: The influence of floodplain restoration on sediment dynamics on an urban river

description: Urbanisation affects both the volume and timing of sediment delivery in the catchment. This study presents influence of floodplain restoration on the sediment dynamics in the highly urbanised catchment, Johnson Creek, Portland, Oregon. The study incorporates a two-dimensional hydro-morphodynamic model for predicting flow and suspended sediment dynamics in the downstream of Johnson Creek, the East Lents reach, where the bank of river has been reconfigured to reconnect to a restored floodplain. The simulation scenario include event-based (10, 50, 100, and 500 year floods) deposition modelling of flood events and long-term modelling using the 64 historical events between 1941 and 2014.
DOI: 10.17639/nott.6171
title: Enhanced vitamin C skin permeation from supramolecular hydrogels, illustrated using in situ ToF-SIMS 3D chemical profiling

description: This research explores the use of ToF-SIMS 3D profiling to provide information on the skin permeation of active compounds, specifically vitamin C delivery from different formulation types.
DOI: 10.17639/nott.7008
title: Raw data for new compounds described in the paper "Rhodium-catalyzed arylative cyclization of alkynyl malonates by 1,4-rhodium(I) migration"

description: Raw data for new compounds described in the paper "Rhodium-catalyzed arylative cyclization of alkynyl malonates by 1,4-rhodium(I) migration"
DOI: 10.17639/nott.7009
title: X-ray CT data of river loach fish

description: These data files are of CT scans of two species of fish (Hill stream loach) collected at The Hounsfield Facility, School of Biosciences, University of Nottingham as part of a collaborative project with Jay Willis and colleagues at University of Oxford. The work is submitted to BioRxiv titled "The structure and function of the sucker systems of hill stream loaches" (2019). The CT image data shows cross section images of Sewellia lineolate (Pseudogastromyzon sp.) and Gastromyzon puntilatus.
DOI: 10.17639/nott.6651
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 36270

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 36270 (X) Source: VDRC Name: Lar Full name: Leukocyte-antigen-related-like Also known as: Dlar Annotation symbol: CG10443 FlyBase ID: FBgn0000464 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6673
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 51446

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 51446 (III) Source: Bloomington Name: mbc (2) Full name: myoblast city Also known as: Dock180, Su(rac)1 Annotation symbol: CG10379 FlyBase ID: FBgn0015513 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6648
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 23121

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 23121 (III) Source: VDRC Name: LanB1 (2) Full name: LanB1 Also known as: EP-600, LamB1 Annotation symbol: CG7123 FlyBase ID: FBgn0261800 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6649
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 10255R1

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 10255R1 (III) Source: NIG Name: Lap1 (1) Full name: Lap1 Also known as: dLAP1 Annotation symbol: CG10255 FlyBase ID: FBgn0033984 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6260
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 26121

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 26121 (III) Source: VDRC Name: Ank2 (1) Full name: Ankyrin 2 Also known as: SP2523, Dank2, ESTS:149B10S Annotation symbol: CG42734 FlyBase ID: FBgn0261788 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.43
title: Processing and properties of PLA-HA nanocomposites: the effect of particle morphology and dispersants

description: The load bearing capacity of biodegradable polymeric medical devices remains limited; an improvement in mechanical properties is desirable to widen the range of applications. Incorporation of nanoparticles is explored to increase the mechanical properties of the base matrix whilst maintaining desirable polymeric processing routes. Various nanomaterials have been investigated for polylactic acid (PLA) reinforcement for orthopaedic applications; hydroxyapatite (HA), the main inorganic constituent of bone, is one of the most promising bioresorbable nanofillers. However, uncoated nanoparticles agglomerate easily during compounding; tailored coatings can offer new opportunities to improve dispersion. This study investigates the effectiveness of novel tailored dispersants on particle dispersion, rheological properties and on macroscopic mechanical properties, when coated onto HA nanoparticles (HANP). The dispersants consist of short-chain PLA with isosorbide head groups (isPLA), or neat dodecenylsuccinic anhydride (DDSA). HANP were synthesised via a hydrothermal counter-flow process with dispersant coatings added in-situ. Neat DDSA was purchased whilst isPLA was polymerised via a standard ring-opening route involving lactide, a tin catalyst and isosorbide initiator. Nanocomposites were compounded in a twin-screw recirculating extruder and assessed by TEM, rheology and mechanical measurements.
DOI: 10.17639/nott.6299
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 31671

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 31671 (III) Source: Bloomington Name: brv2 (2) Full name: brivido-2 Also known as: Annotation symbol: CG16793 FlyBase ID: FBgn0036712 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)