Ask about this productRelated genes to: DYNLL2 Blocking Peptide
- Gene:
- DYNLL2 NIH gene
- Name:
- dynein light chain LC8-type 2
- Previous symbol:
- -
- Synonyms:
- MGC17810, Dlc2, DNCL1B, RSPH22
- Chromosome:
- 17q22
- Locus Type:
- gene with protein product
- Date approved:
- 2005-11-25
- Date modifiied:
- 2016-03-02
Related products to: DYNLL2 Blocking Peptide
Related articles to: DYNLL2 Blocking Peptide
- Sepsis, a life-threatening syndrome caused by dysregulated host responses to infection, lacks effective therapeutic strategies due to its complex immune pathophysiology. Here, we identify Dynein Light Chain LC8-Type 2 (DYNLL2) as a critical risk gene driving sepsis progression through bioinformatics and machine learning analysis of clinical datasets. Elevated DYNLL2 expression correlates with poor prognosis and monocyte expansion in sepsis patients. Mechanistically, DYNLL2 interacts with p21-Activated Kinase 1 (PAK1) to regulate the endocytosis of Gram-negative bacterial outer membrane vesicles (OMVs), facilitating cytosolic lipopolysaccharide (LPS) release and subsequent Caspase-11 inflammasome activation, thereby triggering pyroptosis. Depletion of DYNLL2 or PAK1 suppresses OMV internalization, Caspase-11/Gasdermin D (GSDMD) cleavage, and proinflammatory cytokine release without affecting bacterial clearance. Virtual screening identifies Oroxylin A, a flavonoid compound, as a potent inhibitor of the DYNLL2-PAK1 interaction. In vitro, Oroxylin A blocks Caspase-11-dependent pyroptosis by reducing cytosolic LPS levels. In murine endotoxemia models, Oroxylin A improves survival, mitigates multi-organ damage, and suppresses systemic inflammation. Our findings reveal the DYNLL2-PAK1 axis as a pivotal regulator of sepsis pathogenesis and propose Oroxylin A as a promising therapeutic candidate to disrupt pyroptosis and restore immune homeostasis in sepsis. - Source: PubMed
Publication date: 2025/12/06
Zhou ChenLu JiachenZhang XinyuZhao JiaweiLiu YimanBai DongshengZhao Yue - Hypertension is a complex disease with unknown causes. Therefore, it's crucial to deeply study its molecular mechanism. The hypertension dataset was obtained from Gene Expression Omnibus data base (GEO), and miRNA regulating central hub genes was screened via weighted gene co-expression network (DEGs) and gene set enrichment (GSEA). Cell experiments validated TSR2's role and the PPAR signaling pathway through western blotting. 500 DEGs were identified for hypertension, mainly enriched in actin cross-linking, insulin signaling, PPAR signaling, and protein localization. Eight hub genes (SEC61G, SRP14, Liy AR, NIP7, SDAD1, POLR1D, DYNLL2, TSR2) were identified. Four hub genes (LYAR, SDAD1, POLR1D, TSR2) exhibited high expression levels in the hypertensive tissue samples, while showing low expression levels in the normal tissue samples. This led us to speculate that they may have relevant regulatory effects on hypertension. When TSR2 was knocked down in the hypertension peripheral blood mononuclear cells (PBMC) model, the critical proteins in the PPAR signaling pathway (FABP, PPAR, PLTP, ME1, SCD1, CYP27, FABP1, OLR1, CPT-1, PGAR, CAP, ADIPO, MMP1, UCP1, ILK, PDK1 UBC AQP7) were downregulated. This also occurred in the hypertension peripheral blood mononuclear cells (PBMC) + TSR2_ OV model. TSR2 is highly expressed in individuals with hypertension and may play a significant role in the development of hypertension through the PPAR signaling pathway. TSR2 could serve as a molecular target for the early diagnosis and precise treatment of hypertension, providing a valuable direction for the mechanism research of this condition. - Source: PubMed
Publication date: 2024/05/29
Meng Ling-BingHu Gai-FengLv TingtingLv ChanghuaLiu LianfengZhang Ping - Aggrephagy is a lysosome-dependent process that degrades misfolded protein condensates to maintain cancer cell homeostasis. Despite its importance in cellular protein quality control, the role of aggrephagy in glioma remains poorly understood. - Source: PubMed
Zhang XiaoweiTan JiayuZhang XinyuPandey KritikaZhong YuqingWu GuitaoHe Kejun - Actin-related proteins (Arps) are classified according to their similarity to actin and are involved in diverse cellular processes. ACTL7B is a testis-specific Arp, and is highly conserved in rodents and primates. ACTL7B is specifically expressed in round and elongating spermatids during spermiogenesis. Here, we have generated an Actl7b-null allele in mice to unravel the role of ACTL7B in sperm formation. Male mice homozygous for the Actl7b-null allele (Actl7b-/-) were infertile, whereas heterozygous males (Actl7b+/-) were fertile. Severe spermatid defects, such as detached acrosomes, disrupted membranes and flagella malformations start to appear after spermiogenesis step 9 in Actl7b-/- mice, finally resulting in spermatogenic arrest. Abnormal spermatids were degraded and levels of autophagy markers were increased. Co-immunoprecipitation with mass spectrometry experiments identified an interaction between ACTL7B and the LC8 dynein light chains DYNLL1 and DYNLL2, which are first detected in step 9 spermatids and mislocalized when ACTL7B is absent. Our data unequivocally establish that mutations in ACTL7B are directly related to male infertility, pressing for additional research in humans. - Source: PubMed
Publication date: 2023/10/27
Merges Gina EArévalo LenaKovacevic AndjelaLohanadan Keerthikade Rooij Dirk GSimon CarlaJokwitz MelanieWitke WalterSchorle Hubert - Aging is responsible for the main intrinsic triggers of cancers; however, the studies of aging risk factors in cancer animal models and cancer patients are rare and insufficient to be represented in cancer clinical trials. For a better understanding of the complex regulatory networks of aging and cancers, 8 candidate aging related long noncoding RNAs (CarLncs) identified from the healthy aging models, centenarians and their offsprings, were selected and their association with kidney renal clear cell carcinoma (KIRC) was explored by series of cutting edge analyses such as support vector machine (SVM) and random forest (RF) algorithms. Using data downloaded from TCGA and GTEx databases, a regulatory network of CarLncs-miRNA-mRNA was constructed and five genes within the network were screened out as aging related feature genes for developing KIRC prognostic models. After a strict filtering pipeline for modeling, a formula using the transcript per million (TPM) values of feature genes "LncAging_score = 0.008* MMP11 + 0.066* THBS1-IT1 + (-0.014)* DYNLL2 + (-0.030)* RMND5A+ 0.008* PEG10" was developed. ROC analysis and nomogram suggest our model achieves a great performance in KIRC prognosis. Among the 8 CarLncs, we found that was significantly dysregulated in 12 cancer types. A comprehensive pan-cancer analysis demonstrated that is a potential prognostic biomarker in not only KIRC but also multiple cancers, such as LUSC, BLCA, GBM, LGG, MESO, PAAD, STAD and THCA, it was correlated with tumor microenvironment (TME) and tumor immune cell infiltration (TICI) and its high expression was related with poor survival. - Source: PubMed
Publication date: 2023/09/13
Tang Yi-FanWang Yu-ZhiWen Gui-BiaoJiang Jian-Jun