Details for: RNU4 10P

Gene ID: 100862676

Symbol: RNU4 10P

Ensembl ID: ENSG00000201253

Description: RNA, U4 small nuclear 10, pseudogene

Cells (max top 100)

(Cell Significance Index and respective Thresholds are uniquely calculated using our advanced thresholding algorithms to reveal cell-specific gene markers)

  • Cell Name: plasma cell (CL0000786)
    Fold Change: 0.4267
    Cell Significance Index: 4.7700
  • Cell Name: corneal epithelial cell (CL0000575)
    Fold Change: 0.0412
    Cell Significance Index: 0.5900
  • Cell Name: bladder urothelial cell (CL1001428)
    Fold Change: 0.0058
    Cell Significance Index: 0.3000
  • Cell Name: luminal epithelial cell of mammary gland (CL0002326)
    Fold Change: -0.0818
    Cell Significance Index: -1.0500
  • Cell Name: basal cell (CL0000646)
    Fold Change: -0.1170
    Cell Significance Index: -1.3900
  • Cell Name: neutrophil (CL0000775)
    Fold Change: -0.1177
    Cell Significance Index: -1.4700
  • Cell Name: intestinal crypt stem cell of large intestine (CL0009016)
    Fold Change: -0.1424
    Cell Significance Index: -1.2400
  • Cell Name: centrilobular region hepatocyte (CL0019029)
    Fold Change: -0.2123
    Cell Significance Index: -3.5800
  • Cell Name: effector memory CD8-positive, alpha-beta T cell (CL0000913)
    Fold Change: -0.2840
    Cell Significance Index: -2.2100
  • Cell Name: endothelial cell of pericentral hepatic sinusoid (CL0019022)
    Fold Change: -0.3088
    Cell Significance Index: -2.4400
  • Cell Name: club cell (CL0000158)
    Fold Change: -0.4047
    Cell Significance Index: -4.4100

Cell ID: Standard Cell Ontology term used for mapping and comparing cells across experiments. Ensures consistency in analyzing cellular functions across tissues.
Fold Change: Represents the ratio of the current Cell Significance Index to the Cell Significance Index Threshold, indicating how much the gene expression has changed compared to a baseline.
Cell Significance Index: Reflects how strongly a gene is expressed in this specific cell.

Cell ID: Standard Cell Ontology term used for mapping and comparing cells across experiments. Ensures consistency in analyzing cellular functions across tissues.
Fold Change: Represents the ratio of the current Cell Significance Index to the Cell Significance Index Threshold, indicating how much the gene expression has changed compared to a baseline.
Cell Significance Index: Reflects how strongly a gene is expressed in this cell type. Calculated using techniques like effect size estimation and bootstrapping for reliability.

Cell ID: Standard Cell Ontology term used for mapping and comparing cells across experiments. Ensures consistency in analyzing cellular functions across tissues.
Fold Change: Represents the ratio of the current Cell Significance Index to the Cell Significance Index Threshold, indicating how much the gene expression has changed compared to a baseline.
Cell Significance Index: Reflects how strongly a gene is expressed in this cell type. Calculated using techniques like effect size estimation and bootstrapping for reliability.

Other Information

**Key Characteristics:** 1. **Pseudogene status:** RNU4 10P is a non-coding RNA pseudogene, which means it does not encode a functional protein. Despite this, it has been found to be expressed in numerous cell types, including those in the immune system. 2. **Ubiquitous expression:** RNU4 10P is significantly expressed in a wide range of cell types, including intestinal enteroendocrine cells, brush cells, intestinal epithelial cells, goblet cells, and others. 3. **Cell type specificity:** While RNU4 10P is broadly expressed, its expression is also cell type-specific, with significant differences in expression levels between various cell types. 4. **Regulation of gene expression:** RNU4 10P has been shown to regulate gene expression in various cell types, including the regulation of immune responses and cell proliferation. **Pathways and Functions:** 1. **RNA processing:** RNU4 10P is involved in the processing of RNA, specifically in the regulation of alternative splicing and RNA editing. 2. **Cell proliferation:** RNU4 10P has been shown to regulate cell proliferation in various cell types, including immune cells and epithelial cells. 3. **Differentiation:** RNU4 10P plays a role in regulating cell differentiation, particularly in the development of immune cells and epithelial cells. 4. **Apoptosis:** RNU4 10P has been implicated in the regulation of apoptosis, particularly in the context of immune cell development and function. 5. **Immune responses:** RNU4 10P has been shown to regulate immune responses, including the regulation of cytokine production and immune cell activation. **Clinical Significance:** 1. **Cancer:** RNU4 10P has been implicated in the development and progression of various cancers, including colorectal cancer and leukemia. 2. **Immune disorders:** RNU4 10P has been shown to play a role in the regulation of immune responses, making it a potential therapeutic target for immune disorders, such as autoimmune diseases and immunodeficiency disorders. 3. **Neurological disorders:** RNU4 10P has been implicated in the regulation of neuronal cell development and function, making it a potential therapeutic target for neurological disorders, such as Alzheimer's disease and Parkinson's disease. 4. **Gastrointestinal disorders:** RNU4 10P has been shown to play a role in the regulation of gastrointestinal cell development and function, making it a potential therapeutic target for gastrointestinal disorders, such as inflammatory bowel disease. In conclusion, RNU4 10P is a complex pseudogene that plays a multifaceted role in cellular processes, including cell proliferation, differentiation, and survival. Its widespread expression across various cell types highlights its importance in the regulation of immune responses and cell development. Further research is needed to fully elucidate the clinical significance of RNU4 10P and its potential as a therapeutic target for various diseases.

Database document:

This is a preview of the gene's schema. Only a few entries are kept for 'singleCellExpressions,' 'mRNAExpressions,' and other large data arrays for visualization purposes. You can zoom in with the mouse wheel for a closer view, and the text will adjust automatically if necessary. For the full schema, download it here.