Signe Altmäe

Signe Altmäe

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Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2017 in Scientific Reports
Verified
Journal Article
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SASigne Altmäe
Signe Altmäe
MKMariann Koel
Mariann Koel
UVUrmo Võsa
Urmo Võsa
PAPriit Adler
Priit Adler
MSMarina Suhorutšenko
Marina Suhorutšenko
ASAndres Salumets
Andres Salumets
Previous transcriptome studies of the human endometrium have revealed hundreds of simultaneously up- and down-regulated genes that are involved in endometrial receptivity. However, the overlap between the studies is relatively small, and we are still searching for potential diagnostic biomarkers. Here we perform a meta-analysis of endometrial-receptivity associated genes on 164 endometrial samples (76 from ‘pre-receptive’ and 88 from mid-secretory, ‘receptive’ phase endometria) using a robust rank aggregation (RRA) method, followed by enrichment analysis, and regulatory microRNA prediction. We identify a meta-signature of endometrial receptivity involving 57 mRNA genes as putative receptivity markers, where 39 of these we confirm experimentally using RNA-sequencing method in two separate datasets. The meta-signature genes highlight the importance of immune responses, the complement cascade pathway and the involvement of exosomes in mid-secretory endometrial functions. Bioinformatic prediction identifies 348 microRNAs that could regulate 30 endometrial-receptivity associated genes, and we confirm experimentally the decreased expression of 19 microRNAs with 11 corresponding up-regulated meta-signature genes in our validation experiments. The 57 identified meta-signature genes and involved pathways, together with their regulatory microRNAs could serve as promising and sought-after biomarkers of endometrial receptivity, fertility and infertility.

20 April 2023 in Reproductive BioMedicine Online
Verified
Journal Article
Closed access
SASigne Altmäe
Signe Altmäe
ASAlberto Sola-Leyva
Alberto Sola-Leyva
ASAndres Salumets
Andres Salumets

11 April 2020 in Biomolecules
Verified
Journal Article
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NMNerea M. Molina
Nerea M. Molina
ASAlberto Sola-Leyva
Alberto Sola-Leyva
MSM Jose Saez-Lara
M Jose Saez-Lara
Julio Plaza-DíazJulio Plaza-Díaz
Julio Plaza-Díaz
ATAleksandra Tubić-Pavlović
Aleksandra Tubić-Pavlović
SASigne Altmäe
Signe Altmäe
Current knowledge suggests that the uterus harbours its own microbiota, where the microbes could influence the uterine functions in health and disease; however, the core uterine microbial composition and the host-microbial relationships remain to be fully elucidated. Different studies are indicating, based on next-generation sequencing techniques, that microbial dysbiosis could be associated with several gynaecological disorders, such as endometriosis, chronic endometritis, dysfunctional menstrual bleeding, endometrial cancer, and infertility. Treatments using antibiotics and probiotics and/or prebiotics for endometrial microbial dysbiosis are being applied. Nevertheless there is no unified protocol for assessing the endometrial dysbiosis and no optimal treatment protocol for the established dysbiosis. With this review we outline the microbes (mostly bacteria) identified in the endometrial microbiome studies, the current treatments offered for bacterial dysbiosis in the clinical setting, and the future possibilities such as pro- and prebiotics and microbial transplants for modifying uterine microbial composition.

1 March 2013 in Reproductive Sciences
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Journal Article
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SASigne Altmäe
Signe Altmäe
JMJose A. Martinez-Conejero
Jose A. Martinez-Conejero
Francisco J. EstebanFrancisco J. Esteban
Francisco J. Esteban
MRMaria Ruiz-Alonso
Maria Ruiz-Alonso
ASAnneli Stavreus-Evers
Anneli Stavreus-Evers
ASAndres Salumets
Andres Salumets

15 November 2019 in Nature Reviews Urology
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Journal Article
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SASigne Altmäe
Signe Altmäe
JFJason M. Franasiak
Jason M. Franasiak
RMReet Mändar
Reet Mändar

22 November 2009 in Molecular Human Reproduction
Verified
Journal Article
Closed access
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SASigne Altmäe
Signe Altmäe
JMJ.A. Martinez-Conejero
J.A. Martinez-Conejero
ASAndres Salumets
Andres Salumets
CSCarlos Simon
Carlos Simon
JHJ.A. Horcajadas
J.A. Horcajadas
ASA. Stavreus-Evers
A. Stavreus-Evers
Successful embryo implantation depends on the quality of the embryo, as well as on the receptivity of the endometrium. The aim of this study was to investigate the endometrial gene expression profile in women with unexplained infertility in comparison with fertile controls at the time of embryo implantation in order to find potential predictive markers of uterine receptivity and to identify the molecular mechanisms of infertility. High-density oligonucleotide gene arrays, comprising 44 000 gene targets, were used to define the endometrial gene expression profile in infertile (n = 4) and fertile (n = 5) women during the mid-secretory phase (day LH +7). Microarray results were validated using real-time PCR. Analyses of expression data were carried out using non-parametric methods. Hierarchical clustering and principal component analysis showed a clear distinction in endometrial gene expression between infertile and fertile women. In total we identified 145 significantly (>3-fold change) up-regulated and 115 down-regulated genes in infertile women versus controls. Via Database for Annotation, Visualization and Integrated Discovery functional analysis we detected a substantial number of dysregulated genes in the endometria of infertile women, involved in cellular localization (21.1%) and transport (18.8%) and transporter activity (13.1%) and with major localization in extracellular regions (19.2%). Ingenuity Pathways Analysis of the gene list showed dysregulation of gene pathways involved in leukocyte extravasation signalling, lipid metabolism and detoxification in the endometria of infertile women. In conclusion, endometrial gene expression in women with unexplained infertility at the time of embryo implantation is markedly different from that in fertile women. These results provide new information on genes and pathways that may have functional significance as regards to endometrial receptivity and subsequent embryo implantation.