Details for: CL0000764

Cell ID: CL0000764

Cell Name: erythroid lineage cell

Description: Note that in FMA erythropoietic cells are types of nucleated erythrocytes and thus don't include erythrocytes.

Synonyms: erythropoietic cell

Selected Context(s): Overall

Gene Significance Landscape

Display Options
Score:
Display
Genes

Contexts:

Cell Significance Index (CSI) is uniquely calculated to reveal cell-specific gene markers. More info here

Significant Genes List

Genes with the highest and lowest Percentile Rank Scores (PRS) for erythroid lineage cell within the selected context(s).

Gene ID: A unique numerical identifier for this specific gene.
Symbol: Shortened abbreviation or name that represents this gene.
Ensembl Gene ID: A unique identifier assigned by Ensembl for genomic data mapping.
CSI Score: A combined effect size and statistical significance measure for erythroid lineage cell. Higher scores indicate a stronger, more significant difference in expression.
(Previously described as "Fold Change", but now represents Cliff's Delta × –log10(p).)

Gene ID: A unique numerical identifier for this specific gene.
Symbol: Shortened abbreviation or name that represents this gene.
Ensembl Gene ID: A unique identifier assigned by Ensembl for genomic data mapping.
CSI Score: A combined effect size and statistical significance measure for erythroid lineage cell. Higher scores indicate a stronger, more significant difference in expression.
Average CSI: csi sum / gene count
Cell network configuration

This network visualizes key genes for erythroid lineage cell. It primarily includes:
1. Top genes highly significant for this cell (Num. Top Cell Genes - based on the 'Min. CSI' setting).
2. Any additional specific 'Context Genes' you add below.
The final network is a combined view. Choose an Interaction Source (pathways or protein interactions) and optionally compare CSI scores with a Baseline Cell Type.

Maximum number of selected genes.
Select a context for the baseline cell.
Select a context for the target cell.
Target Cell for CSI:  erythroid lineage cell (CL0000764)

 Legend
Nodes (Genes):
 Query Gene
Node size also reflects Target Cell CSI magnitude.
Node Color (Target Cell CSI in specific network):
 Very High
 High
 Medium
 Low
 Very Low
 N/A or Not Sig.
Edges (Interactions):
 STRING (Protein-Protein)
 ONTOLOGY (Shared Pathway)
 Colors vary by pathway category; default arrow applies.

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## Summary The [erythroid lineage cell](/details-cell/CL0000764) is a progenitor cell committed to the developmental pathway of erythropoiesis, ultimately giving rise to mature, anucleated erythrocytes. The gene significance profile for this cell type **Overall** is dominated by markers indicative of massive protein synthesis and specialized membrane transport, consistent with its primary function of producing hemoglobin and forming a functional red blood cell. Strikingly, the most specific markers identified by Z-score analysis are numerous ribosomal protein pseudogenes, such as [RPS3AP26](/details-gene/644972) and [RPL36AP37](/details-gene/729362). This may reflect an extraordinarily high level of transcription associated with ribosome biogenesis or a unique chromatin state in these cells. Concurrently, the profile is defined by the strong negative significance of mitochondrially-encoded genes, highlighting the programmed mitochondrial clearance essential for terminal erythroid differentiation. ## Key Characteristics and Function The functional identity of the [erythroid lineage cell](/details-cell/CL0000764) is underscored by several distinct clusters of highly significant genes. * **Protein Synthesis and Translation:** The most prominent feature is the exceptionally high specificity score of numerous pseudogenes related to ribosomal proteins, including [RPS3AP26](/details-gene/644972), [RPL36AP37](/details-gene/729362), [RPL18AP3](/details-gene/390354), and [RPS2P46](/details-gene/125208). While the functional implication of pseudogene expression is unclear, their high specificity may point to massive transcriptional output from loci related to ribosome biogenesis, a prerequisite for the immense production of hemoglobin. This theme is further supported by the significant expression of the translation elongation factor [EEF1B2](/details-gene/1933). * **Erythrocyte Membrane Identity and Function:** The cell's commitment to the erythroid fate is confirmed by the high significance of canonical red blood cell membrane proteins. [RHAG](/details-gene/6005), the Rh-associated glycoprotein, and [SLC4A1](/details-gene/6521), the Band 3 anion exchanger, are critical for membrane integrity and gas exchange. The presence of [RHAG](/details-gene/6005) is crucial for the expression of Rh blood group antigens ([Link](https://doi.org/10.1042/bj2870223)), while [SLC4A1](/details-gene/6521) is essential for chloride-bicarbonate exchange, a key step in CO2 transport ([Link](https://doi.org/10.1073/pnas.86.23.9089)). * **Metabolic Activity and Energy Production:** The high metabolic demands of erythropoiesis are reflected by the significant expression of genes involved in energy metabolism. These include [LDHB](/details-gene/3945) (Lactate Dehydrogenase B), which plays a role in anaerobic glycolysis, and several components of the ATP synthase complex, such as [ATP5F1B](/details-gene/506) and [ATP5PF](/details-gene/522). The ADP/ATP translocator [SLC25A6](/details-gene/293) further emphasizes the importance of energy transport for cellular processes. * **Defining Negative Markers:** The anti-marker profile is equally informative, characterized by the strong negative significance of a large suite of genes encoded by the mitochondrial genome, such as [ND1](/details-gene/4535), [ND4](/details-gene/4538), [COX1](/details-gene/4512), [COX2](/details-gene/4513), and [ATP6](/details-gene/4508). This is consistent with mitophagy, the programmed degradation of mitochondria, which is a hallmark of terminal erythroid differentiation that maximizes intracellular volume for hemoglobin. Additionally, the negative scores for ubiquitously expressed housekeeping genes like [GAPDH](/details-gene/2597), [UBC](/details-gene/7316), and [FTH1](/details-gene/2495) highlight the highly specialized transcriptional program of erythroid cells, where lineage-specific gene expression vastly outweighs that of common cellular maintenance genes. ## Clinical Significance and Contextual Roles The gene signature of the [erythroid lineage cell](/details-cell/CL0000764) provides a molecular basis for several inherited hematological disorders. * **Red Cell Membranopathies:** Mutations in key marker genes are directly linked to human disease. Defects in [SLC4A1](/details-gene/6521) can cause hereditary spherocytosis and are associated with Southeast Asian ovalocytosis and distal renal tubular acidosis, as reported in studies on patients from Sarawak ([Link](https://doi.org/10.1007/s00467-005-2061-z)). Similarly, mutations affecting the [RHAG](/details-gene/6005) gene can lead to the Rh-null phenotype, a rare blood disorder characterized by the absence of all Rh antigens and associated with chronic hemolytic anemia ([Link](https://doi.org/10.1074/jbc.273.4.2207)). The high specificity of these genes in this cell type underscores their critical, non-redundant roles in erythrocyte biology. * **Markers of Proliferation and Differentiation:** Genes such as [PCLAF](/details-gene/9768) (PCNA-associated factor) are noted as significant markers. Overexpression of [PCLAF](/details-gene/9768) has been linked to cellular proliferation and is identified as a marker in various cancers, including adrenocortical carcinoma ([Link](https://doi.org/10.1371/journal.pone.0026866)). Its significance in erythroid precursors may reflect the high proliferative rate required to generate the requisite number of red blood cells. **Overall**, the gene profile provides a detailed blueprint of a highly specialized cell factory. It highlights the coordinated expression of genes for protein synthesis, membrane construction, and metabolic support, while simultaneously showcasing the active downregulation and clearance of components, like mitochondria, that are unnecessary in the final, mature erythrocyte. ## Potential Mechanisms and Research Directions 1. **Hypothesis:** The striking prominence of ribosomal protein pseudogenes as top specificity markers is not a technical artifact but reflects their role as functional non-coding RNAs (e.g., lncRNAs or microRNA sponges) that regulate the massive burst of ribosome biogenesis required during erythropoiesis. * **Surprising Findings:** It is highly unusual for pseudogenes, which are typically considered non-functional genomic relics, to be the most specific markers for a cell type. The fact that dozens of pseudogenes from both the small ([RPS](/details-gene/)) and large ([RPL](/details-gene/)) ribosomal subunits appear suggests this is a coordinated, lineage-specific phenomenon rather than a random event. * **Testable Questions:** Can specific and sensitive RNA-FISH (Fluorescence In Situ Hybridization) probes distinguish between transcripts from pseudogenes like [RPS3AP26](/details-gene/644972) and their parent functional genes within differentiating [erythroid lineage cells](/details-cell/CL0000764)? Furthermore, does CRISPRi-mediated silencing of the [RPS3AP26](/details-gene/644972) promoter affect the expression of the functional [RPS3A](/details-gene/6224) gene or alter the rate of erythroblast maturation in vitro? 2. **Hypothesis:** The robust negative correlation of all mitochondrial-encoded transcripts serves as a precise molecular signature for the final stages of erythroid terminal differentiation, reflecting the efficiency of mitophagy. * **Surprising Findings:** While mitochondrial clearance is a known aspect of erythropoiesis, the data suggest that the coordinated downregulation of the entire mitochondrial transcriptome is one of the most statistically defining features of this cell lineage when compared to all other cell types. This implies that the absence of these transcripts is as crucial to the cell's identity as the presence of globin mRNA. * **Testable Questions:** Can the ratio of a nuclear-encoded erythroid marker (e.g., [SLC4A1](/details-gene/6521)) to a mitochondrial-encoded anti-marker (e.g., [ND4](/details-gene/4538)) in single-cell RNA-seq data provide a more accurate quantitative staging of terminal erythroid differentiation than current surface marker-based methods?