Back

An evolutionarily conserved microRNA, miR-185, regulates key pathways that may contribute to implantation failure.

Smith, W.; Edge, J. C.; Tinning, H.; Butt, Z.; Deligianni, F.; Morales, C.; Muter, J.; Brosens, J.; Mascarenhas, M.; Bhandari, H.; O'Connell, M. J.; Lucas, E.; Simpson, N.; Forde, N.

2025-01-15 cell biology
10.1101/2025.01.15.633123 bioRxiv
Show abstract

Recurrent implantation failure (RIF) is defined after three or more good quality embryo transfers following in vitro fertilisation without a successful pregnancy outcome. Many factors contribute to RIF however, the endometrial contribution remains unclear. Previous work by our group has identified a micro-RNA (miRNA) miR-185-5p as conserved across placental mammal irrespective of implantation strategies. We tested the hypothesis that miR-185-5p and the pathways it regulates, may be disrupted in the endometria of women with RIF. A human endometrial epithelial cells line (Ishikawa cells) was transfected with mimics or inhibitors for miR-185-5p for 24 (for implantation assay) or 48 hr (for proteomic analysis) along with non-targeting controls. There was a significant different in percentage attachment of BeWoW spheroids to cells transfected with miR-185-5p mimic compared to inhibitor (P<0.05). Transfection of epithelial cells with miR-185-5p altered expression of 1450 (mimic alone) and 509 (inhibitor alone) proteins respective of which, 146 were modified by both. Comparison of predicted targets of miR-185-5p, proteins modified by this study, and key endometrial genes from the literature determined genes and proteins associated with CNP family were further investigated in biopsies from individuals with (n=10) and without RIF (n=9) with CSNK1D expression significantly lower (p<0.05) in individuals with RIF. Collectively these data demonstrate that miR-185-5p modifies pathways that are important for successful implantation in humans.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Biology of Reproduction
28 papers in training set
Top 0.1%
14.6%
2
PLOS ONE
4510 papers in training set
Top 14%
12.9%
3
Scientific Reports
3102 papers in training set
Top 9%
8.5%
4
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 0.3%
8.5%
5
The FASEB Journal
175 papers in training set
Top 0.1%
4.2%
6
International Journal of Molecular Sciences
453 papers in training set
Top 2%
3.6%
50% of probability mass above
7
Cells
232 papers in training set
Top 0.9%
2.9%
8
Cell Cycle
14 papers in training set
Top 0.1%
2.6%
9
Reproduction
11 papers in training set
Top 0.1%
1.9%
10
Genes
126 papers in training set
Top 0.7%
1.9%
11
Human Reproduction
18 papers in training set
Top 0.2%
1.9%
12
Epigenomics
10 papers in training set
Top 0.1%
1.5%
13
Placenta
18 papers in training set
Top 0.1%
1.4%
14
Biochemistry and Biophysics Reports
28 papers in training set
Top 0.7%
1.4%
15
Gene
41 papers in training set
Top 1%
1.4%
16
Frontiers in Genetics
197 papers in training set
Top 7%
1.2%
17
F1000Research
79 papers in training set
Top 3%
1.1%
18
iScience
1063 papers in training set
Top 24%
1.0%
19
Open Biology
95 papers in training set
Top 1%
1.0%
20
Journal of Biological Chemistry
641 papers in training set
Top 3%
1.0%
21
Cell Communication and Signaling
35 papers in training set
Top 0.8%
0.9%
22
Genomics
60 papers in training set
Top 2%
0.8%
23
Biology
43 papers in training set
Top 2%
0.8%
24
Heliyon
146 papers in training set
Top 6%
0.8%
25
Endocrinology
38 papers in training set
Top 0.6%
0.8%
26
PeerJ
261 papers in training set
Top 15%
0.8%
27
Molecular Human Reproduction
11 papers in training set
Top 0.1%
0.8%
28
Molecular Biology Reports
19 papers in training set
Top 0.6%
0.7%
29
Wellcome Open Research
57 papers in training set
Top 2%
0.7%
30
Frontiers in Physiology
93 papers in training set
Top 6%
0.7%