Genome-wide identification of micro-ribonucleic acids associated with human endometrial receptivity in natural and stimulated cycles by deep sequencing  Ai-Guo Sha, M.Med., Ji-Long Liu, Ph.D., Xiao-Ming Jiang, M.Med., Jian-Zhi Ren, M.Med., Cai-Hui Ma, M.Med., Wei Lei, Ph.D., Ren-Wei Su, Ph.D., Zeng-Ming Yang, Ph.D.  Fertility and Sterility  Volume 96, Issue 1, Pages 150-155.e5 (July 2011) DOI: 10.1016/j.fertnstert.2011.04.072 Copyright © 2011 American Society for Reproductive Medicine Terms and Conditions

Figure 1 Composition of our small RNA libraries from human endometrium using deep sequencing. (A) Distribution of all small RNA species. (B) Relative abundance of known miRNAs. (C) Detailed composition of let-7 family. Fertility and Sterility 2011 96, 150-155.e5DOI: (10.1016/j.fertnstert.2011.04.072) Copyright © 2011 American Society for Reproductive Medicine Terms and Conditions

Figure 2 Unsupervised hierarchical clustering of deep sequencing data. (A) Heatmap of miRNA expression data after hierarchical clustering. The Euclidean distance measure and the average linkage clustering algorithm were used. The plot was generated using bioinformatics toolbox 3.3 of MATLAB (MathWorks). (B) All pairwise Euclidean distances between libraries. Fertility and Sterility 2011 96, 150-155.e5DOI: (10.1016/j.fertnstert.2011.04.072) Copyright © 2011 American Society for Reproductive Medicine Terms and Conditions