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Dakin, S.

Publications and source records attributed to Dakin, S..

2 recordsLinked to original sources

Identification of human tendon cell populations in healthy and diseased tissue using combined single cell transcriptomics and proteomics

The long-term morbidity of tendon disease in an increasingly active and ageing population represents a growing area of unmet clinical need. Tendon disorders commonly affect the lower limb, ranging from isolated tendon rupture to degenerative joint deformity. In the absence of valid animal models of chronic tendinopathy, traditional methods to isolate and identify crucial sub types involved in disease are limited by the heterogeneity of tendon cells, by their relative paucity in tissue and by the density of the surrounding collagen matrix. To overcome this, we have used next generation CITE-sequencing to combine surface proteomics with in-depth, unbiased gene expression analysis of single cells derived ex vivo from healthy and diseased tendon. For the first time we have been able to show that human tendon consists of at least eight sub-populations of cells. In addition to endothelial cells, Tc cells, and macrophages, there are five distinct tenocyte populations expressing COL1A genes. These consist of a population of resident cells expressing microfibril associated genes (FBN1, VCAN, DCN, EMILIN1, MFAP5), a group of SCX+ cells co-expressing high levels of pro-inflammatory markers, a population of APOD+ fibro-adipogenic progenitors (FAPs), TPPP3/PRG4+ chondrogenic cells (COMP, CILP, PRG4) and ITGA7+ Smooth Muscle-Mesenchymal Cells, recently described in mouse muscle but not, as yet, in human tendon. Surface proteomic analysis identified markers by which these sub-classes could be isolated and targeted in future. In comparison to healthy tendon, diseased tendon harboured a greater proportion of SCX+ tendon cells and these expressed high levels of pro-inflammatory markers including CXCL1, CXCL6, CXCL8, PDPN and previously undescribed PTX3. We were also able to show that whereas disease associated genes such as CD248 and PDPN were expressed by COL1+ tenocytes, IL33 was restricted to endothelial cells of chronically diseased tendon.

cell biology↗

A comparison of tests for quantifying sensory eye dominance

Clinicians rely heavily on stereoacuity to measure binocular visual function, but stereo-vision represents only one aspect of binocularity. Lab-based tests of sensory eye dominance (SED) are commonplace, but have not been translated to wider clinical practice. Here we compare several methods of quantifying SED in a format suitable for clinical use. We tested 30 participants with ostensibly normal vision on 8 tests. Seven tests (#1-7) were designed to quantify SED in the form of an interocular balance-point (BP). In tests #1-6, we estimated a contrast-BP, the interocular difference in contrast required for observers to be equally likely to base their judgement on either eye, whereas in test #7 we measured binocular rivalry (interocular ratio of sensory dominance duration). We compare test-retest reliability (intra-observer consistency) and test-validity (inter-observer discriminatory power) and compare BP to stereoacuity (test #8). The test that best preserved inter-observer differences in contrast balance while maintaining good test-retest reliability was a polarity judgement using superimposed opposite-contrast polarity same-identity optotypes. A reliable and valid measure of SED can be obtained rapidly (20 trials) using a simple contrast-polarity judgement. Tests that use polarity-rivalrous stimuli elicit more reliable judgments than those that do not.\n\nSignificance StatementAlthough sensory eye dominance is central to understanding normal and disordered binocular vision, there is currently no consensus as to the best way to measure it. Here we compare several candidate measures of sensory eye dominance and conclude that a reliable measure of SED can be achieved rapidly using a judgement of stimulus contrast-polarity.

neuroscience↗