Protein Tyrosine Phosphatase (PTP) PTPRS
- Known as:
- Protein Tyrosine Phosphatase (PTP) PTPRS
- Catalog number:
- E-3312
- Product Quantity:
- 20 ug
- Category:
- -
- Supplier:
- Bioner
- Gene target:
- Protein Tyrosine Phosphatase (PTP) PTPRS
Related genes to: Protein Tyrosine Phosphatase (PTP) PTPRS
- Gene:
- ACP1 NIH gene
- Name:
- acid phosphatase 1
- Previous symbol:
- -
- Synonyms:
- HAAP, LMW-PTP, LMWPTP
- Chromosome:
- 2p25.3
- Locus Type:
- gene with protein product
- Date approved:
- 1986-01-01
- Date modifiied:
- 2017-09-15
- Gene:
- DUSP1 NIH gene
- Name:
- dual specificity phosphatase 1
- Previous symbol:
- PTPN10
- Synonyms:
- HVH1, CL100, MKP-1
- Chromosome:
- 5q35.1
- Locus Type:
- gene with protein product
- Date approved:
- 1993-03-03
- Date modifiied:
- 2015-09-11
- Gene:
- HACD1 NIH gene
- Name:
- 3-hydroxyacyl-CoA dehydratase 1
- Previous symbol:
- PTPLA
- Synonyms:
- CAP
- Chromosome:
- 10p12.33
- Locus Type:
- gene with protein product
- Date approved:
- 1999-01-22
- Date modifiied:
- 2016-01-15
- Gene:
- HACD2 NIH gene
- Name:
- 3-hydroxyacyl-CoA dehydratase 2
- Previous symbol:
- PTPLB
- Synonyms:
- -
- Chromosome:
- 3q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 1999-01-22
- Date modifiied:
- 2016-01-15
- Gene:
- HACD3 NIH gene
- Name:
- 3-hydroxyacyl-CoA dehydratase 3
- Previous symbol:
- PTPLAD1
- Synonyms:
- B-ind1, HSPC121
- Chromosome:
- 15q22.31
- Locus Type:
- gene with protein product
- Date approved:
- 2005-11-11
- Date modifiied:
- 2016-01-15
Related products to: Protein Tyrosine Phosphatase (PTP) PTPRS
Related articles to: Protein Tyrosine Phosphatase (PTP) PTPRS
- Biomarker discovery in immunotherapy remains limited by approaches that rely primarily on correlation-based analyses, which often fail to capture the context-dependent and mechanistic nature of tumor immune interactions. Here, we present IMMUNIA, a reasoning-centered framework designed to prioritize immunoregulatory surfaceome genes through structured, interpretable, and multimodel inference. IMMUNIA integrates standardized prompting, literature-grounded context, and consensus reasoning across multiple large language models to evaluate candidate genes along key immunological dimensions, including immunotherapy relevance, inflammation, and NF-κB signaling. Applied to transcriptomic data from prostate cancer, IMMUNIA systematically analyzed 458 immunoglobulin domain-containing surfaceome genes and identified a prioritized set of candidates through multirun, cross-model evaluation. Internal validation using positive and negative control genes demonstrated robust discrimination of immune-relevant targets, while cross-model agreement and low variability across repeated runs supported the stability of the framework. Consensus prioritization recovered established immunoregulatory molecules, including IL1R1, CD276, and B2M, and further highlighted PTPRS, VCAN, and MXRA5 as candidate genes with potential roles in stromal-mediated immune regulation. The biological interpretations presented in this study are grounded in prior literature and reflect expert-level mechanistic reasoning, with IMMUNIA serving to systematically structure and scale this reasoning process. Rather than generating de novo biological claims, this framework enables the integration of existing knowledge into testable hypotheses, providing a transparent and reproducible path from transcriptomic data to mechanistically informed biomarker prioritization. These findings suggest that reasoning-centered artificial intelligence can complement conventional data-driven approaches and support the discovery of candidate immunoregulatory targets within the tumor microenvironment. - Source: PubMed
Publication date: 2026/06/12
Park NamuLee Jung Hyun - To identify proteomic signatures underlying 3-year progression from impaired fasting glucose (IFG) to diabetes. - Source: PubMed
Rooney Mary REchouffo Tcheugui Justin BChen JingshaWalker Keenan ABallantyne Christie MBoerwinkle EricKelly Tanika NNdumele Chiadi EPankow James SGrams Morgan EPost Wendy SGanz Peter JWood Alexis CRotter Jerome ISelvin ElizabethCoresh Josef - Precocious puberty in chickens is an important biological trait regulated by the hypothalamic-pituitary-gonadal (HPG) axis. The comb height of roosters is an indicator of precocious puberty in breeding. However, the underlying mechanisms of precocious puberty, particularly in roosters, remain underexplored. - Source: PubMed
Publication date: 2026/05/25
Xiang HaiLi XiangkunSun XiaoxuZhang ZhengfenWei JixiangLiu ZhijieMa ZhengChen SiyuGou JunweiYe FeiLi Hua - Many studies have linked socioeconomic status (SES) and cardiovascular outcomes, yet the biologic mechanisms mediating these associations are only partially understood. The objective of this study was to identify molecular mediators of the association of low SES with coronary heart disease (CHD) and stroke. - Source: PubMed
Publication date: 2026/03/13
Odden Michelle CLiu XiaojuanShah Amil MYang YiminLamberson VictoriaBrody Jennifer ASitlani Colleen MHuber MattKalani RizwanShojaie AliRaffield Laura MGlover LáShauntáPalta PriyaKucharska-Newton Anna MPsaty Bruce MFloyd James S - Myocardial infarction (MI) and subsequent heart failure are frequently accompanied by chronic kidney disease, further impairing outcomes and complicating treatment. To better understand heart-kidney crosstalk, we used RNA sequencing data to infer interorgan signalling after experimentally induced MI in mice, focusing on secreted biomolecules and interorgan cross talk that may drive cardiorenal syndrome (CRS). To assess acute and chronic effects, we examined kidneys at 5d and 28d post-MI, evaluating changes in renal gene expression and fibrosis. During the acute phase 5d post-MI, several genes inferred to target kidney receptors were highly upregulated in the cardiac infarct zone, with Postn and Spp1 being the most probable ligands. However, only minor changes in gene expression were detected in the kidney 5d post-MI. At 28d post-MI, renal fibrosis and the number of differentially expressed genes (DEGs) in the kidney increased. Gene ontology enrichment suggested metabolic adaptions as part of a long-term response. Based on upregulated DEGs in kidney 28d post-MI, we suggest two kidney-to-heart interactions: Slitrk6-Ptprs and Gdf15-Tgfbr2. In vitro, GDF-15 treatment of human cardiac fibroblasts induced pro-fibrotic gene expression, mirroring in vivo changes in the heart. Our data suggest that MI in mice elicits minimal acute response in kidney but triggers chronic transcriptional and pro-fibrotic changes in kidney, potentially driven by altered renal metabolism. The inference of interorgan signalling molecules such as GDF-15 points towards candidate mediators of CRS and provides a basis for future mechanistic and clinical studies. - Source: PubMed
Publication date: 2025/12/05
Wolf HannaKupsch SvenjaHaacke Virginia KBacmeister LucasWeber SusanneHilgendorf IngoKeller TillDechend RalfHuber Tobias BWestermann DirkLindner Diana