The PDZ and LIM domain-containing protein family is encoded by a diverse group of genes whose phylogeny has currently not been analyzed. In mammals, ten genes are found that encode both a PDZ- and one or several LIM-domains. These genes are: ALP, RIL, Elfin (CLP36), Mystique, Enigma (LMP-1), Enigma homologue (ENH), ZASP (Cypher, Oracle), LMO7 and the two LIM domain kinases (LIMK1 and LIMK2). As conventional alignment and phylogenetic procedures of full-length sequences fell short of elucidating the evolutionary history of these genes, we started to analyze the PDZ and LIM domain sequences themselves. Using information from most sequenced eukaryotic lineages, our phylogenetic analysis is based on full-length cDNA-, EST-derived- and genomic- PDZ and LIM domain sequences of over 25 species, ranging from yeast to humans. Plant and protozoan homologs were not found. Our phylogenetic analysis identifies a number of domain duplication and rearrangement events, and shows a single convergent event during evolution of the PDZ/LIM family. Further, we describe the separation of the ALP and Enigma subfamilies in lower vertebrates and identify a novel consensus motif, which we call 'ALP-like motif' (AM). This motif is highly-conserved between ALP subfamily proteins of diverse organisms. We used here a combinatorial approach to define the relation of the PDZ and LIM domain encoding genes and to reconstruct their phylogeny. This analysis allowed us to classify the PDZ/LIM family and to suggest a meaningful model for the molecular evolution of the diverse gene architectures found in this multi-domain family.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1781342 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0000189 | PLOS |
PeerJ
December 2024
Medical Oncology, Inner Mongolia People's Hospital, Hohhot, China.
Background: CLP36 is also known as PDZ and LIM Domain 1 (PDLIM1) that is a ubiquitously-expressed α-actinin-binding cytoskeletal protein involved in carcinogenesis, and our current study aims to explore its involvement in lymphoma.
Methods: Accordingly, the CLP36 expression pattern in lymphoma and its association with the overall survival was predicted. Then, qPCR was applied to gauge CLP36 expression in lymphoma cells and determine the knockdown efficiency.
Elife
December 2024
UPMC Hillman Cancer Center, Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, United States.
Immune checkpoint inhibitors (ICIs) and their combination with other therapies such as chemotherapy, fail in most cancer patients. We previously identified the PDZ-LIM domain-containing protein 2 (PDLIM2) as a bona fide tumor suppressor that is repressed in lung cancer to drive cancer and its chemo and immunotherapy resistance, suggesting a new target for lung cancer therapy improvement. In this study, human clinical samples and data were used to investigate genetic and epigenetic changes in lung cancer.
View Article and Find Full Text PDFCancer Biol Ther
December 2024
Department of Hematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China.
Background: PDZ And LIM domain protein 1 (PDLIM1), a protein-coding gene, has been widely reported to exhibit differential expression patterns across various human cancers, including hematological malignancies. This study aimed to investigate PDLIM1 expression pattern and its functional role in diffuse large B-cell lymphoma (DLBCL) both and .
Methods: PDLIM1 expression patterns were reanalyzed using data from the Gene Expression Omnibus, and the results were subsequently validated in patient tissue samples and a panel of four DLBCL cell lines.
Am J Transl Res
October 2024
Department of Neurosurgery, Qingyang People's Hospital Qingyang 745000, Gansu, China.
Objective: Hypertensive intracerebral hemorrhage (HICH) is frequently associated with high disability, high mortality, and poor prognosis. The present study aimed to identify genes associated with HICH to construct prognostic models to improve accuracy in predicting HICH prognosis.
Methods: Hub genes were identified by screening out differentially expressed genes from data in the Gene Expression Omnibus database and conducting weighted gene co-expression network analysis.
Elife
October 2024
Department of Medical Science, Kosin University College of Medicine, Busan, Republic of Korea.
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