Anti_Human, mab CRIM1 Source Mouse
- Known as:
- Anti_Human, mab CRIM1 Source Mouse
- Catalog number:
- 101-M340
- Product Quantity:
- 100 µg
- Category:
- -
- Supplier:
- Reliatech
- Gene target:
- Anti_Human mab CRIM1 Source Mouse
Related genes to: Anti_Human, mab CRIM1 Source Mouse
- Gene:
- CRIM1 NIH gene
- Name:
- cysteine rich transmembrane BMP regulator 1
- Previous symbol:
- S52
- Synonyms:
- -
- Chromosome:
- 2p22.2
- Locus Type:
- gene with protein product
- Date approved:
- 1999-07-22
- Date modifiied:
- 2016-10-05
Related products to: Anti_Human, mab CRIM1 Source Mouse
Related articles to: Anti_Human, mab CRIM1 Source Mouse
- Hepatoblastoma (HB) is the most common primary liver malignancy in childhood, yet its molecular determinants, functional dependencies, and therapeutic vulnerabilities remain incompletely characterized. Integrative analyses combining transcriptomic profiling with functional genomic datasets provide a strategy to identify essential genes, biomarkers predictive of tumor behavior and treatment response. - Source: PubMed
Publication date: 2026/06/24
Desterke ChristopheJarén AnaFrancés RaquelCasafont ÍñigoBarrachina María DoloresEsplugues Juan VMata-Garrido Jorge - Acute lymphoblastic leukemia (ALL) is the most prevalent malignant tumor in children, with B-cell ALL (B-ALL) accounting for 85% of cases. Despite advancements in chemotherapy and supportive care, a subset of high-risk B-ALL patients still experience relapse post-treatment. The molecular mechanisms underlying the relapses after intensified chemotherapy remain poorly understood. - Source: PubMed
Publication date: 2025/11/12
Liu LiMao XiaoyanYang ChunhuiLi NaZhou YanZhang LiJiang NanjingHuang YuYin ShigangXie HuangfanTian Xin - Multiple myeloma (MM) is a malignant plasma cell tumor. Mitochondria-related genes (MRGs) are significant inducers of ferroptosis. However, research on the involvement of mitochondria-ferroptosis-related genes (MFRGs) in the MM is relatively scarce, and further identification of key genes associated with MFRGs in MM treatment is needed. In this study, transcriptomic data and related genes were initially downloaded from public databases and literature. Subsequently, candidate genes were obtained by intersecting the differential expression genes (DEGs) from MM and control groups, and MFRGs. Through regression analyses, clinically relevant genomic signatures were delineated, culminating in the development of a predictive algorithm. An independent prognostic analysis was conducted, followed by the creation of a nomogram. Subsequently, these prognostic genes were studied from various aspects. Finally, the transcriptional abundance of predictive biomarkers was experimentally validated through reverse transcription quantitative polymerase chain reaction (RT-qPCR). The intersection of DEGs and MFRGs yielded 15 candidate genes. Then, GPR15, NLRP7, ZNF208, PRDM13, and CRIM1 were identified as prognostic genes. The prognostic model constructed using these prognostic genes was confirmed to be robust. The 2 independent prognostic factors (risk score and age) were determined, and the constructed nomogram provided an excellent predictive model. Then, risk score and activated dendritic cells were found to be significantly negatively correlated (cor = -0.43, p < 0.05). Additionally, GPR15 was positively associated with M2 macrophages (cor = 0.34, p < 0.05), while NLRP7 and PRDM13 were negatively associated with activated dendritic cells (cor = -0.34, p < 0.05; cor = -0.40, p < 0.05). There were 3 significantly different immune cells, 31 significantly immune checkpoint genes, and 11 significantly different immune checkpoints (p < 0.05). ZNF208, PRDM13, and CPIM1 were all mainly enriched in ribosome-related pathways. Finally, 86 potential drugs for the treatment of MM were discovered, such as shikonin. RT-qPCR results showed that NLRP7 and PRDM13 were significantly upregulated in MM group, while GPR15 and CRIM1 were significantly downregulated in MM group (p < 0.05). In this study, 5 MFRGs were identified as prognostic genes (GPR15, NLRP7, ZNF208, PRDM13, and CRIM1) for MM, which provide reference significance for the prognosis of MM. - Source: PubMed
Publication date: 2025/11/24
Wu JingLi ChenZhang JiayouSu JingXiao YutingJi Linhua - Liver fibrosis (LF) poses significant challenges in diagnosis and treatment. This study aimed to identify effective biomarkers for diagnosis and therapy, as well as to gain deeper insights into the immunological features associated with LF. LF-related datasets were retrieved from the Gene Expression Omnibus (GEO) database. Two datasets were merged to generate a metadata cohort for bioinformatics analysis and machine learning, while another dataset was reserved for external validation. Seventy-eight machine learning algorithms were employed to screen signature genes. The diagnostic performance of these genes was evaluated using receiver operating characteristic (ROC) curves, and their expression levels were validated via qRT-PCR experiments. The R language was utilized to delineate the immune landscape. Finally, correlation analysis was conducted to investigate the relationship between the signature genes and immune infiltration. Through the intersection of GEO datasets and Weighted Gene Co-expression Network Analysis (WGCNA), 42 genes were identified. Machine learning methods further narrowed down 13 signature genes (alpha-2-macroglobulin (), ankyrin-3 (), complement component 7 (), cadherin 6 (), cysteine-rich motor neuron protein 1 (), dihydropyrimidinase-like 3 (), , gamma-aminobutyric acid (GABA) receptor subunit epsilon (), membrane metalloendopeptidase (), solute carrier family 38 member 1 (), tropomyosin alpha-1 chain (), von Willebrand factor (), and zinc finger protein 83 ()), and qRT-PCR confirmed these genes' expression patterns. Furthermore, these signature genes demonstrated strong correlations with multiple immune cell populations. In conclusion, the 13 genes (, , , , , , , , , , , , and ) represent robust potential biomarkers for the diagnosis and treatment of LF. Among these genes, we first identified as related to LF and expressed in hepatocytes and cholangiocytes. The immune response mediated by these signature biomarkers plays a pivotal role in the pathogenesis and progression of LF through dynamic interactions between the biomarkers and immune-infiltrating cells. - Source: PubMed
Publication date: 2025/08/28
Wang Wei-LuLian HaoranChen YilingSong ZhejunTam Paul Kwong HangChen Yan - The corticospinal tract (CST) facilitates skilled, precise movements, which necessitates that subcerebral projection neurons (SCPNs) establish segmentally specific connectivity with brainstem and spinal circuits. Developmental molecular delineation enables prospective identification of corticospinal neurons (CSNs) projecting to thoraco-lumbar spinal segments; however, it remains unclear whether other SCPN subpopulations in developing sensorimotor cortex can be prospectively identified in this manner. Such molecular tools could enable investigations of SCPN circuitry with precision and specificity. During development, Kelch-like 14 () is specifically expressed by a specific SCPN subpopulation, CSN, that reside in lateral sensorimotor cortex with axonal projections exclusively to bulbar-cervical targets. In this study, we generated Klhl14-T2A-Cre knock-in mice to investigate SCPN that are during development into maturity. Using conditional anterograde and retrograde labeling in mice of either sex, we find that Klhl14-Cre is specifically expressed by CSN only at specific developmental time points. We establish conditional viral labeling in Klhl14-T2A-Cre mice as a new approach to reliably investigate CSN axon targeting and confirm that this identifies known molecular regulators of CSN axon targeting. Therefore, Klhl14-T2A-Cre mice can be used as a novel tool for identifying molecular regulators of CST axon guidance in a relatively high-throughput manner in vivo. Finally, we demonstrate that intersectional viral labeling enables precise targeting of only Klhl14-Cre+ CSN in the adult central nervous system. Together, our results establish that developmental molecular delineation of SCPN subpopulations can be used to selectively and specifically investigate their development, as well as anatomical and functional organization into maturity. - Source: PubMed
Publication date: 2025/09/08
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