Pyruvate dehydrogenase complex: mRNA and protein expression patterns of E1α subunit genes in human spermatogenesis

Pinheiro, António N.; Silva, Maria João; Graça, Inês; Silva, Joaquina; Sá, Rosália; Sousa, Mário; Barros, Alberto; Almeida, Isabel Tavares de; Rivera, Isabel

doi:10.1016/j.gene.2012.06.068

Cited by 9 publications

(5 citation statements)

References 34 publications

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“…PDHA2 encodes subunit alpha 2 of pyruvate dehydrogenase 1E, which is a major component of the pyruvate dehydrogenase complex (PDC) catalyzing the oxidative decarboxylation of pyruvate to form acetyl-CoA. PDHA2 is predominately expressed in germ cells, whereas its homologue, PDHA1 , is expressed in somatic cells [ 22 ]. It has been shown that downregulation of PDHA1 promotes cancer progression and acts as a poor prognostic factor for cancer [ 23 - 26 ].…”

Section: Resultsmentioning

confidence: 99%

Pairwise correlation of genes involved in glucose metabolism: a potential diagnostic marker of cancer?

Sakharkar

Rajamanickam

et al. 2021

Genes Cancer

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Section: Resultsmentioning

confidence: 99%

Pairwise correlation of genes involved in glucose metabolism: a potential diagnostic marker of cancer?

Sakharkar

Rajamanickam

et al. 2021

Genes Cancer

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“…Information from the literature on the 11 identified AIs is presented in Table 2 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 . Tubb2C, Fbp1, Pdhb, and Gapdhs are all expressed in the sperm tail.…”

Section: Discussionmentioning

confidence: 99%

Specific autoantigens identified by sera obtained from mice that are immunized with testicular germ cells alone

Terayama

Hirai

Naito

et al. 2016

Sci Rep

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There are various autoimmunogenic antigens (AIs) in testicular germ cells (TGCs) recognized as foreign by the body’s immune system. However, there is little information of TGC-specific AIs being available. The aim of this study is to identify TGC-specific AIs. We have previously established that immunization using viable syngeneic TGC can also induce murine experimental autoimmune orchitis (EAO) without using any adjuvant. This study is to identify TGC-specific AIs by TGC liquid chromatography–tandem mass spectrometry analysis, followed by two-dimensional gel electrophoresis that reacted with serum IgG from EAO mice. In this study, we identified 11 TGC-specific AIs that reacted with serum from EAO mice. Real-time RT-PCR analysis showed that the mRNA expressions of seven TGC-specific AIs were significantly higher in only mature testis compared to other organs. Moreover, the recombinant proteins of identified 10 (except unnamed protein) TGC-specific AIs were created by using human embryonic kidney 293 (HEK293) cells and these antigencities were reconfirmed by Western blot using EAO serum reaction. These results indicated Atp6v1a, Hsc70t, Fbp1 and Dazap1 were candidates for TGC-specific AIs. Identification of these AIs will facilitate new approaches for understanding infertility and cancer pathogenesis and may provide a basis for the development of novel therapies.

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“…The authors reported a severe decrease in JMJD1A in the testicular biopsies of men with spermatid maturation arrest and Sertoli cell only syndrome. It was concluded that the low expression of JMJD1A, as well as its low incorporation into chromatin in testes with round spermatid maturation arrest, suggests that an inadequate expression of JMJD1A might be indicating and/or contributing to round spermatid maturation arrest [86]. Another study reported that azoospermic men with successful sperm retrieval had increased expression of JMJD1A, TNP and Protamine.…”

Section: Transient Nuclear Proteins (Tnps)mentioning

confidence: 99%

Omics and Male Infertility: Highlighting the Application of Transcriptomic Data

Omolaoye

Kandasamy

et al. 2022

Life

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Male infertility is a multifaceted disorder affecting approximately 50% of male partners in infertile couples. Over the years, male infertility has been diagnosed mainly through semen analysis, hormone evaluations, medical records and physical examinations, which of course are fundamental, but yet inefficient, because 30% of male infertility cases remain idiopathic. This dilemmatic status of the unknown needs to be addressed with more sophisticated and result-driven technologies and/or techniques. Genetic alterations have been linked with male infertility, thereby unveiling the practicality of investigating this disorder from the “omics” perspective. Omics aims at analyzing the structure and functions of a whole constituent of a given biological function at different levels, including the molecular gene level (genomics), transcript level (transcriptomics), protein level (proteomics) and metabolites level (metabolomics). In the current study, an overview of the four branches of omics and their roles in male infertility are briefly discussed; the potential usefulness of assessing transcriptomic data to understand this pathology is also elucidated. After assessing the publicly obtainable transcriptomic data for datasets on male infertility, a total of 1385 datasets were retrieved, of which 10 datasets met the inclusion criteria and were used for further analysis. These datasets were classified into groups according to the disease or cause of male infertility. The groups include non-obstructive azoospermia (NOA), obstructive azoospermia (OA), non-obstructive and obstructive azoospermia (NOA and OA), spermatogenic dysfunction, sperm dysfunction, and Y chromosome microdeletion. Findings revealed that 8 genes (LDHC, PDHA2, TNP1, TNP2, ODF1, ODF2, SPINK2, PCDHB3) were commonly differentially expressed between all disease groups. Likewise, 56 genes were common between NOA versus NOA and OA (ADAD1, BANF2, BCL2L14, C12orf50, C20orf173, C22orf23, C6orf99, C9orf131, C9orf24, CABS1, CAPZA3, CCDC187, CCDC54, CDKN3, CEP170, CFAP206, CRISP2, CT83, CXorf65, FAM209A, FAM71F1, FAM81B, GALNTL5, GTSF1, H1FNT, HEMGN, HMGB4, KIF2B, LDHC, LOC441601, LYZL2, ODF1, ODF2, PCDHB3, PDHA2, PGK2, PIH1D2, PLCZ1, PROCA1, RIMBP3, ROPN1L, SHCBP1L, SMCP, SPATA16, SPATA19, SPINK2, TEX33, TKTL2, TMCO2, TMCO5A, TNP1, TNP2, TSPAN16, TSSK1B, TTLL2, UBQLN3). These genes, particularly the above-mentioned 8 genes, are involved in diverse biological processes such as germ cell development, spermatid development, spermatid differentiation, regulation of proteolysis, spermatogenesis and metabolic processes. Owing to the stage-specific expression of these genes, any mal-expression can ultimately lead to male infertility. Therefore, currently available data on all branches of omics relating to male fertility can be used to identify biomarkers for diagnosing male infertility, which can potentially help in unravelling some idiopathic cases.

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Pyruvate dehydrogenase complex: mRNA and protein expression patterns of E1α subunit genes in human spermatogenesis

Cited by 9 publications

References 34 publications

Pairwise correlation of genes involved in glucose metabolism: a potential diagnostic marker of cancer?

Pairwise correlation of genes involved in glucose metabolism: a potential diagnostic marker of cancer?

Specific autoantigens identified by sera obtained from mice that are immunized with testicular germ cells alone

Omics and Male Infertility: Highlighting the Application of Transcriptomic Data

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