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Dataset in support of the Southampton doctoral thesis 'Remote ischaemic conditioning as a novel therapy for necrotising enterocolitis'

Dataset in support of the Southampton doctoral thesis 'Remote ischaemic conditioning as a novel therapy for necrotising enterocolitis'
Dataset in support of the Southampton doctoral thesis 'Remote ischaemic conditioning as a novel therapy for necrotising enterocolitis'
Description of the data: There are essentially three datasets for this thesis. The first relates to a systematic review of NEC outcomes (Chapter 2) as consists of a single Microsoft Excel file with the details of the included papers and the data extracted from them. This systematic review is published as Jones, I H. and Hall, N.J. Contemporary Outcomes for Infants with Necrotizing Enterocolitis – A Systematic Review The Journal of Pediatrics 2020 220: 86-92.e3 The second relates to the primary research using an animal model of NEC. Each datafile is a Microsoft Excel file and contains multiple data points from each animal; including the macroscopic assessment of injury, microscopic assessment, using the Chiu-Park scoring system, serum cytokine analysis, and myeloperoxidase activity. In each case, the individual animal is identified by a unique, randomly generated 3-digit code. (Chapters 5-8 and 10). The Ethical approval for the animal work is included. Publication manuscripts in press / in production. The third set is the raw count from RNAseq transciptomics analysis of the intestine of animals in protocol 1a (plus controls). The datafile is a .csv file. Publication manuscript in production.
University of Southampton
Jones, Ian Howard
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Hall, Nigel
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Collins, Jane
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Heinson, Ashley
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Eaton, Simon
e14103c2-c06a-45e6-87fe-2358a3371283
Orford, Michael
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Lau, Laurie
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Vagdama, Bhumita
ee38de6e-6b4a-459c-98c2-ab52c86cf4b0
Tao, Denise
c0221bed-dbe7-4d36-a215-d8017fa95254
Jones, Ian Howard
6b0339f6-ee22-4e4b-9627-9c7156125481
Hall, Nigel
d228c07f-2663-4c35-85ab-6c67c972d661
Collins, Jane
93a85202-8667-433e-87b7-9c10f1336e6c
Heinson, Ashley
822775d1-9379-4bde-99c3-3c031c3100fb
Eaton, Simon
e14103c2-c06a-45e6-87fe-2358a3371283
Orford, Michael
598da23b-6b8b-4e54-a28d-836a7d5bb017
Lau, Laurie
2af8045d-6162-4939-aba7-28dd2f60f6a8
Vagdama, Bhumita
ee38de6e-6b4a-459c-98c2-ab52c86cf4b0
Tao, Denise
c0221bed-dbe7-4d36-a215-d8017fa95254

Jones, Ian Howard, Eaton, Simon, Orford, Michael, Lau, Laurie, Vagdama, Bhumita and Tao, Denise (2022) Dataset in support of the Southampton doctoral thesis 'Remote ischaemic conditioning as a novel therapy for necrotising enterocolitis'. University of Southampton doi:10.5258/SOTON/D2426 [Dataset]

Record type: Dataset

Abstract

Description of the data: There are essentially three datasets for this thesis. The first relates to a systematic review of NEC outcomes (Chapter 2) as consists of a single Microsoft Excel file with the details of the included papers and the data extracted from them. This systematic review is published as Jones, I H. and Hall, N.J. Contemporary Outcomes for Infants with Necrotizing Enterocolitis – A Systematic Review The Journal of Pediatrics 2020 220: 86-92.e3 The second relates to the primary research using an animal model of NEC. Each datafile is a Microsoft Excel file and contains multiple data points from each animal; including the macroscopic assessment of injury, microscopic assessment, using the Chiu-Park scoring system, serum cytokine analysis, and myeloperoxidase activity. In each case, the individual animal is identified by a unique, randomly generated 3-digit code. (Chapters 5-8 and 10). The Ethical approval for the animal work is included. Publication manuscripts in press / in production. The third set is the raw count from RNAseq transciptomics analysis of the intestine of animals in protocol 1a (plus controls). The datafile is a .csv file. Publication manuscript in production.

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readme.txt - Dataset
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NEC_Outcomes_Systematic_Review_Dataset.xlsx - Dataset
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Archive
Animal_Work_Dataset.zip - Dataset
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Raw_Counts_All_Samples.csv - Dataset
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Ethic_Approval.docx - Other
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More information

Published date: 1 November 2022

Identifiers

Local EPrints ID: 478709
URI: http://eprints.soton.ac.uk/id/eprint/478709
PURE UUID: ad5fcb85-5660-4972-8b68-b997718f9782
ORCID for Ian Howard Jones: ORCID iD orcid.org/0000-0002-5161-2096
ORCID for Ashley Heinson: ORCID iD orcid.org/0000-0001-8695-6203

Catalogue record

Date deposited: 07 Jul 2023 16:41
Last modified: 06 Jun 2024 01:59

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Contributors

Creator: Ian Howard Jones ORCID iD
Research team head: Nigel Hall
Research team head: Jane Collins
Research team head: Ashley Heinson ORCID iD
Creator: Simon Eaton
Creator: Michael Orford
Creator: Laurie Lau
Creator: Bhumita Vagdama
Creator: Denise Tao

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