(which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.Thecopyright holder for this preprint . http://dx.doi.org/10.1101/357152 doi: bioRxiv preprint first posted online Jun. 28, 2018; 3
PARTICIPANTS/MATERIAL, SETTING, METHODS Paired early-and mid-secretory 50endometrial biopsies were obtained from thirty-five healthy, regularly cycling, fertile volun-51 teers, aged 23 to 36 years, and analysed by RNA sequencing. Differential gene expression 52 analysis was performed using two approaches. In one of them, computational deconvolution 53 was applied as an intermediate step to adjust for epithelial and stromal cells' proportions in 54 endometrial biopsy. The results were then compared to conventional differential expression 55 analysis. 56
MAIN RESULTS AND THE ROLE OF CHANCE The estimated average proportions of 57stromal and epithelial cells in early secretory phase were 65% and 35%, and during mid-secre-58 tory phase 46% and 54%, respectively, that correlated well with the results of histological eval-59 uation (r=0. 88, p=1.1×10 -6 ). Endometrial tissue transcriptomic analysis showed that approxi-60 mately 26% of transcripts (n=946) differentially expressed in receptive endometrium in cell-61 type unadjusted analysis also remain differentially expressed after adjustment for biopsy cel-62 lular composition. However, the other 74% (n=2,645) become statistically non-significant after 63 adjustment for biopsy cellular composition, underlining the impact of tissue heterogeneity on 64 differential expression analysis. The results suggest new mechanisms involved in endometrial 65 maturation involving genes like LINC01320, SLC8A1 and GGTA1P, described for the first time 66 in context of endometrial receptivity. 67