Literature DB >> 32167074

Gene transcription profiling of astheno- and normo-zoospermic sperm subpopulations.

Pedro Caballero-Campo1,2, Saúl Lira-Albarrán1, David Barrera1, Elizabeth Borja-Cacho3, Héctor S Godoy-Morales3, Claudia Rangel-Escareño4, Fernando Larrea1, Mayel Chirinos1.   

Abstract

Spermatozoa contain a repertoire of RNAs considered to be potential functional fertility biomarkers. In this study, the gene expression of human sperm subpopulations with high (F1) and low (F2) motility from healthy normozoospermic (N) and asthenozoospermic (A) individuals was evaluated using RNA microarray followed by functional genomic analysis of differentially expressed genes. Results from A-F1 versus N-F1, A-F2 versus N-F2, N-F1 versus N-F2, and A-F1 versus A-F2 comparisons showed a considerably larger set of downregulated genes in tests versus controls. Gene ontology (GO) analysis of A-F1 versus N-F1 identified 507 overrepresented biological processes (BPs), several of which are associated with sperm physiology. In addition, gene set enrichment analysis of the same contrast showed 110 BPs, 36 cellular components, and 31 molecular functions, several of which are involved in sperm motility. A leading-edge analysis of selected GO terms resulted in several downregulated genes encoding to dyneins and kinesins, both related to sperm physiology. Furthermore, the predicted activation state of asthenozoospermia was increased, while fertility, cell movement of sperm, and gametogenesis were decreased. Interestingly, several downregulated genes characteristic of the canonical pathway protein ubiquitination were involved in asthenozoospermia activation. Conversely, GO analysis of A-F2 versus N-F2 did not identify overrepresented BPs, although the gene set enrichment analysis detected six enriched BPs, one cellular component, and two molecular functions. Overall, the results show differences in gene transcription between sperm subpopulations from asthenozoospermic and normozoospermic semen samples and allowed the identification of gene sets relevant to sperm physiology and reproduction.

Entities:  

Keywords:  asthenozoospermia; male infertility; microarray; sperm; transcriptome

Year:  2020        PMID: 32167074     DOI: 10.4103/aja.aja_143_19

Source DB:  PubMed          Journal:  Asian J Androl        ISSN: 1008-682X            Impact factor:   3.285


  5 in total

1.  Bi-allelic DNAH8 Variants Lead to Multiple Morphological Abnormalities of the Sperm Flagella and Primary Male Infertility.

Authors:  Chunyu Liu; Haruhiko Miyata; Yang Gao; Yanwei Sha; Shuyan Tang; Zoulan Xu; Marjorie Whitfield; Catherine Patrat; Huan Wu; Emmanuel Dulioust; Shixiong Tian; Keisuke Shimada; Jiangshan Cong; Taichi Noda; Hang Li; Akane Morohoshi; Caroline Cazin; Zine-Eddine Kherraf; Christophe Arnoult; Li Jin; Xiaojin He; Pierre F Ray; Yunxia Cao; Aminata Touré; Feng Zhang; Masahito Ikawa
Journal:  Am J Hum Genet       Date:  2020-07-02       Impact factor: 11.025

2.  Altered circadian clock gene expression in the sperm of infertile men with asthenozoospermia.

Authors:  Peng Zhang; Chun Li; Yue Gao; Yifu Leng
Journal:  J Assist Reprod Genet       Date:  2022-01-09       Impact factor: 3.412

3.  Evaluation of SEPT2 and SEPT4 transcript contents in spermatozoa from men with asthenozoospermia and teratozoospermia.

Authors:  Madiheh Mazaheri Moghaddam; Marziyeh Mazaheri Moghaddam; Mohammad Amini; Behzad Bahramzadeh; Amir Baghbanzadeh; Alireza Biglari; Ebrahim Sakhinia
Journal:  Health Sci Rep       Date:  2021-11-23

4.  Candidate genes for infertility: an in-silico study based on cytogenetic analysis.

Authors:  Jatinder Singh Sahota; Bhavna Sharma; Kamlesh Guleria; Vasudha Sambyal
Journal:  BMC Med Genomics       Date:  2022-08-02       Impact factor: 3.622

5.  New Approaches to Define The Functional Competency of Human Sperm Subpopulations and Its Relationship to Semen Quality.

Authors:  Shannen Keyer; Gerhard Van Der Horst; Liana Maree
Journal:  Int J Fertil Steril       Date:  2022-08-21
  5 in total

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