TMEM135 is a Novel Regulator of Mitochondrial Dynamics and Physiology with Implications for Human Health Conditions

Beasley, Heather K.; Rodman, Taylor A.; Collins, Greg V; Hinton, Antentor; Exil, Vernat

doi:10.3390/cells10071750

Cited by 16 publications

(12 citation statements)

References 112 publications

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“…Orthologues of the human peroxisomal membrane proteins PXMP2 (PMP22), PXMP4 (PMP24) and PMP52 (TMEM135) were also identified in D. rerio (Pxmp2, Pxmp4, Tmem135) ( Figure 2 , Table 1 , and Supplementary Table S3 ). PXMP2 is supposed to be a pore-forming protein; PXMP4 and TMEM135 belong to the Tim17 family and they may be involved in peroxisomal metabolite transport (reviewed in Chornyi et al, 2020 ; Beasley et al, 2021 ). Furthermore, orthologues of human membrane proteins MPV17 and MPV17-like are present in zebrafish (Mpv17, Mpv17l, Mpv17l2), which belong to the Mpv/Pxmp2 family ( Figure 2 , Table 1 , and Supplementary Table S3 ).…”

Section: Resultsmentioning

confidence: 99%

Insights Into the Peroxisomal Protein Inventory of Zebrafish

et al. 2022

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Peroxisomes are ubiquitous, oxidative subcellular organelles with important functions in cellular lipid metabolism and redox homeostasis. Loss of peroxisomal functions causes severe disorders with developmental and neurological abnormalities. Zebrafish are emerging as an attractive vertebrate model to study peroxisomal disorders as well as cellular lipid metabolism. Here, we combined bioinformatics analyses with molecular cell biology and reveal the first comprehensive inventory of Danio rerio peroxisomal proteins, which we systematically compared with those of human peroxisomes. Through bioinformatics analysis of all PTS1-carrying proteins, we demonstrate that D. rerio lacks two well-known mammalian peroxisomal proteins (BAAT and ZADH2/PTGR3), but possesses a putative peroxisomal malate synthase (Mlsl) and verified differences in the presence of purine degrading enzymes. Furthermore, we revealed novel candidate peroxisomal proteins in D. rerio, whose function and localisation is discussed. Our findings confirm the suitability of zebrafish as a vertebrate model for peroxisome research and open possibilities for the study of novel peroxisomal candidate proteins in zebrafish and humans.

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Section: Resultsmentioning

confidence: 99%

Insights Into the Peroxisomal Protein Inventory of Zebrafish

et al. 2022

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“…TMEM135 gene was essential for collagen production and secretion in human cells [29]. In mouse hearts, forced overexpression TMEM135 can lead to collagen accumulation [30]. ME3 gene has beem found to be related to COL14A1, which plays a role in cross-linking collagen 1 and developing fibrous structure [31].…”

Section: Discussion (Optional)mentioning

confidence: 99%

Genome-wide association studies on collagen contents trait for meat quality in Hanwoo.

Won¹,

Kim²,

Hwang³

et al. 2022

J Anim Sci Technol

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“…The transmembrane (TMEM) protein family is constituted by a large number of proteins that span the lipid bilayer and these proteins are components of the biological membranes including the membranes of endoplasmic reticulum, lysosome, mitochondria, and the Golgi apparatus (Beasley et al, 2021;Koteluk et al, 2021). TMEMs are wildly expressed in various types of tissues and are supposed to function as channels to permit the transport of different substances across them (Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

A transmembrane protein family gene signature for overall survival prediction in osteosarcoma

Zeng

et al. 2022

Front. Genet.

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The transmembrane (TMEM) protein family is constituted by a large number of proteins that span the lipid bilayer. Dysregulation of TMEM protein genes widely occurs and is associated with clinical outcomes of patients with multiple tumors. Nonetheless, the significance of TMEM genes in the prognosis prediction of patients with osteosarcoma remains largely unclear. Here, we comprehensively analyzed TMEM protein family genes in osteosarcoma using public resources and bioinformatics methods. Prognosis-related TMEM protein family genes were identified by the univariate Cox regression analysis and were utilized to construct a signature based on six TMEM protein family genes (TMEM120B, TMEM147, TMEM9B, TMEM8A, TMEM59, and TMEM39B) in osteosarcoma. The prognostic signature stratified patients into high- and low-risk groups, and validation in the internal and external cohorts confirmed the risk stratification ability of the signature. Functional enrichment analyses of differentially expressed genes between high- and low-risk groups connected immunity with the prognostic signature. Moreover, we found that M2 and M0 macrophages were the most abundant infiltrated immune cell types in the immune microenvironment, and samples of the high-risk group showed a decreased proportion of M2 macrophages. Single-sample gene set enrichment analysis revealed that the scores of neutrophils and Treg were markedly lower in the high-risk group than these in the low-risk group in The Cancer Genome Atlas and GSE16091 cohorts. As for the related immune functions, APC co-inhibition and cytolytic activity exhibited fewer active levels in the high-risk group than that in the low-risk group in both cohorts. Of the six TMEM genes, the expression of TMEM9B was lower in the high-risk group than in the low-risk group and was positively associated with the overall survival of osteosarcoma patients. In conclusion, our TMEM protein family gene-based signature is a novel and clinically useful prognostic biomarker for osteosarcoma patients, and TMEM9B might be a potential therapeutic target in osteosarcoma.

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TMEM135 is a Novel Regulator of Mitochondrial Dynamics and Physiology with Implications for Human Health Conditions

Cited by 16 publications

References 112 publications

Insights Into the Peroxisomal Protein Inventory of Zebrafish

Insights Into the Peroxisomal Protein Inventory of Zebrafish

Genome-wide association studies on collagen contents trait for meat quality in Hanwoo.

A transmembrane protein family gene signature for overall survival prediction in osteosarcoma

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