Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identifying and optimizing human endometrial gene expression signatures for endometrial dating

8 Nov 2021

Abstract excerpt

STUDY QUESTION: What are the key considerations for developing an enhanced transcriptomic method for secretory endometrial tissue dating? SUMMARY ANSWER: Multiple gene expression signature combinations can serve as biomarkers for endometrial dating, but their predictive performance is variable and depends on the number and identity of the genes included in the prediction model, the dataset characteristics and the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Molecular Biology Techniques and Applications
Share to Reproductive Biology and Fertility
Share to Reproductive System and Pregnancy

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34875061
DOI: 10.1093/humrep/deab262

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identifying and optimizing human endometrial gene expression signatures for endometrial datingPMID 34875061Read ↗

Targeted gene expression profiling for accurate endometrial receptivity testing.Semantic proximity Read ↗

Stratifying IVF population endometria using a prognosis gradient independent of endometrial timingSemantic proximity Read ↗

Targeted gene expression profiling for accurate endometrial receptivity testingSemantic proximity Read ↗

A genomic diagnostic tool for human endometrial receptivity based on the transcriptomic signatureSemantic proximity Read ↗

Molecular classification of human endometrial cycle stages by transcriptional profilingSemantic proximity Read ↗

An endometrial gene expression signature accurately predicts recurrent implantation failure after IVFSemantic proximity Read ↗

Can biomarkers identified from the uterine fluid transcriptome be used to establish a noninvasive endometrial receptivity prediction tool? A proof-of-concept studySemantic proximity Read ↗

Application of RNA-sequencing based predictive model for endometrial WOI in patients with recurrent implantation failure: a prospective cohort studySemantic proximity Read ↗

Asynchronous and pathological windows of implantation: two causes of recurrent implantation failure†Semantic proximity Read ↗

The role of transcriptomic biomarkers of endometrial receptivity in personalized embryo transfer for patients with repeated implantation failureSemantic proximity Read ↗

Single-cell transcriptomic atlas of the human endometrium during the menstrual cycleSemantic proximity Read ↗

Uterine fluid transcriptome as potential non-invasive biomarker for predicting endometrial receptivitySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.