2024
DOI: 10.1016/j.bbi.2023.09.023
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Practical approaches to improving translatability and reproducibility in preclinical pain research

Nadia Soliman,
Franziska Denk
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Cited by 2 publications
(2 citation statements)
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“…An unsigned co-expression network was built using the top 25% of expressed genes (20 counts in at least 50% of samples) ranked by observed variance, and modules were identified using the dynamic tree cut algorithm. 8 We assigned biological functions to these modules by looking at over-represented GO biological process terms. We then used the module eigengene, i.e.…”
Section: Rna Sequencingmentioning
confidence: 99%
See 1 more Smart Citation
“…An unsigned co-expression network was built using the top 25% of expressed genes (20 counts in at least 50% of samples) ranked by observed variance, and modules were identified using the dynamic tree cut algorithm. 8 We assigned biological functions to these modules by looking at over-represented GO biological process terms. We then used the module eigengene, i.e.…”
Section: Rna Sequencingmentioning
confidence: 99%
“…5,6 These inadequacies of treatments stem in part from a lack of understanding of the pathophysiology of peripheral neuropathic pain and the limited translation of findings from preclinical models to humans. 7,8 Calls to use human tissues to understand disease pathology are thus growing. 9,10 However, access to human peripheral nerve tissues, however, remains a major challenge, especially in the context of neuropathic pain.…”
Section: Introductionmentioning
confidence: 99%