SNRPD3 Human

Small Nuclear Ribonucleoprotein Polypeptide D3 Human Recombinant
Shipped with Ice Packs
In Stock

Description

SNRPD3 Human Recombinant produced in E.coli is a single, non-glycosylated polypeptide chain containing 146 amino acids (1-126) and having a molecular mass of 16.0 kDa.
The SNRPD3 is fused to a 20 amino acid His-Tag at N-terminus and purified by proprietary chromatographic techniques.

Product Specs

Introduction
SNRPD3, a small nuclear ribonucleoprotein (snRNP), is a component of the spliceosome in eukaryotic cells. This protein plays a crucial role in pre-mRNA splicing and the biogenesis of small nuclear ribonucleoproteins. Two transcript variants encoding the same SNRPD3 protein have been identified due to alternative splicing.
Description
Recombinant SNRPD3, produced in E. coli, is a single, non-glycosylated polypeptide chain consisting of 146 amino acids (residues 1-126). It has a molecular weight of 16.0 kDa. For purification purposes, a 20 amino acid His-Tag is fused to the N-terminus. The protein is purified using proprietary chromatographic techniques.
Physical Appearance
Clear, colorless solution, sterile filtered.
Formulation
The SNRPD3 solution is provided at a concentration of 0.25 mg/ml in a buffer containing 20 mM Tris-HCl (pH 8.0), 0.5 M NaCl, 2 mM DTT, 0.1 mM PMSF, and 40% glycerol.
Stability
For short-term storage (2-4 weeks), the product can be stored at 4°C. For extended storage, it is recommended to freeze the product at -20°C. To ensure long-term stability during frozen storage, the addition of a carrier protein (0.1% HSA or BSA) is advisable. Avoid repeated freeze-thaw cycles.
Purity
The purity of SNRPD3 is greater than 85%, as determined by SDS-PAGE analysis.
Synonyms
Small nuclear ribonucleoprotein D3 polypeptide 18kDa, Sm-D3, snRNP core protein D3.
Source
E.coli.
Amino Acid Sequence
MGSSHHHHHH SSGLVPRGSH MSIGVPIKVL HEAEGHIVTC ETNTGEVYRG KLIEAEDNMN CQMSNITVTY RDGRVAQLEQ VYIRGSKIRF LILPDMLKNA PMLKSMKNKN QGSGAGRGKA AILKAQVAAR GRGRGMGRGN IFQKRR

Q&A

What is SNRPD3 and what is its primary function in human cells?

SNRPD3 is a protein encoded by the SNRPD3 gene located on human chromosome 22. It belongs to the small nuclear ribonucleoprotein core protein family and functions as a critical component of the spliceosomal machinery. SNRPD3 plays an essential role in pre-mRNA splicing and small nuclear ribonucleoprotein biogenesis . As a member of the spliceosome complex, SNRPD3 helps ensure the fidelity and precision of splicing events important for generating mature mRNA molecules. It serves as a core component of the spliceosomal U1, U2, U4, and U5 small nuclear ribonucleoproteins (snRNPs), which are the building blocks of the spliceosome . These complexes are fundamental to eukaryotic gene expression, making SNRPD3 essential for normal cellular function.

Where is SNRPD3 localized within human cells?

Subcellular localization studies have identified SNRPD3 primarily within three cellular compartments: the nucleoplasm, nuclear bodies, and the cytosol . This distribution pattern aligns with its function in RNA processing, as the spliceosome operates predominantly within the nucleus. The presence of SNRPD3 in nuclear bodies is particularly significant as these structures often serve as sites for the assembly and storage of splicing factors. The cytosolic presence of SNRPD3 suggests potential additional functions beyond nuclear splicing or represents protein in transit to the nucleus. This multi-compartment distribution enables SNRPD3 to participate in various aspects of RNA processing throughout the cell.

How does SNRPD3 contribute to normal splicing mechanisms?

As a core spliceosomal protein, SNRPD3 plays a fundamental role in the assembly and function of the spliceosome. It forms part of the Sm ring, a heptameric complex that binds to small nuclear RNAs (snRNAs) to create functional snRNPs . These snRNPs recognize specific sequences in pre-mRNA and orchestrate the precise excision of introns and joining of exons. SNRPD3 participates in both the pre-catalytic spliceosome B complex and activated spliceosome C complexes, indicating its involvement throughout the splicing process . Additionally, SNRPD3 contributes to the minor spliceosome involved in U12-type intron splicing and is part of the U7 snRNP involved in histone pre-mRNA 3'-end processing. This multifaceted involvement underscores SNRPD3's crucial role in maintaining RNA processing fidelity.

What evidence links SNRPD3 to cancer pathogenesis?

Multiple lines of evidence connect SNRPD3 to cancer development and progression. Research has demonstrated that Sm proteins, including SNRPD3, are overexpressed in multiple cancer types, and their expression levels correlate with clinical prognosis . In neuroblastoma specifically, SNRPD3 is directly upregulated by the MYCN oncogene in models of both cancer initiation and progression . High expression of SNRPD3 mRNA in human neuroblastoma tissues serves as a strong, independent prognostic factor for poor patient outcomes . Functionally, repression of SNRPD3 expression correlates with loss of colony formation in vitro and reduced tumorigenicity in vivo, demonstrating its importance for cancer cell survival and proliferation . These findings collectively establish SNRPD3 as an important factor in cancer biology with potential value as both a prognostic marker and therapeutic target.

How does SNRPD3 interact with MYCN in neuroblastoma?

The relationship between SNRPD3 and MYCN represents a significant oncogenic mechanism in neuroblastoma. MYCN directly upregulates SNRPD3 expression, as evidenced by MYCN binding to the SNRPD3 promoter in chromatin immunoprecipitation experiments . Beyond transcriptional regulation, MYCN and SNRPD3 physically interact at the protein level. This interaction introduces a third partner, the protein arginine methyltransferase PRMT5, which methylates SNRPD3 . The functional consequence of this tripartite relationship is modulation of alternative splicing patterns. SNRPD3's effect on cell viability is partly dependent on MYCN as an oncogenic co-factor, highlighting their cooperative relationship. This intricate molecular partnership maintains the fidelity of MYCN-driven alternative splicing in the narrow range required for neuroblastoma cell growth, representing a potential vulnerability for therapeutic targeting.

What is known about SNRPD3 mutations in cancer?

A significant cancer-associated mutational hotspot has been identified in the Sm ring at position G96V of SNRPD3. This mutation confers resistance to hypoxia in cancer cells, providing a survival advantage in the oxygen-poor microenvironments common in solid tumors . RNA sequencing analyses have detected numerous differentially spliced events between wild-type and G96V mutation-carrying cells cultured under hypoxic conditions, with skipping exons and mutually exclusive exons frequently observed . One critical target of this altered splicing is DNM1L mRNA, which encodes the DRP1 protein regulating mitochondrial fission. Cells harboring the G96V mutation exhibit excessively fragmented mitochondria compared to wild-type cells, connecting spliceosome dysfunction to altered mitochondrial dynamics . This discovery provides mechanistic insight into how spliceosomal mutations can promote cancer progression through adaptation to hostile microenvironments.

What approaches are most effective for studying SNRPD3 expression?

Several complementary techniques provide robust assessment of SNRPD3 expression in experimental systems. For protein detection, Western blotting using validated antibodies such as rabbit polyclonal anti-SNRPD3 antibodies has proven effective . Immunocytochemistry/immunofluorescence (ICC/IF) and immunohistochemistry (IHC-P) enable visualization of SNRPD3's subcellular localization and expression patterns in tissues . At the transcript level, quantitative RT-PCR provides precise measurement of SNRPD3 mRNA abundance. For broader transcriptomic impacts, RNA sequencing combined with specialized bioinformatic tools like leafcutter can identify SNRPD3-dependent splicing changes across the genome . When examining clinical specimens, correlating SNRPD3 expression with patient outcomes requires careful statistical analysis and consideration of potential confounding factors. These multifaceted approaches collectively enable comprehensive characterization of SNRPD3 expression and its functional consequences.

What are the optimal methods for manipulating SNRPD3 in experimental models?

Effective SNRPD3 manipulation requires tailored approaches depending on experimental objectives. For transient knockdown, siRNA transfection has demonstrated efficacy in multiple cell lines including MYCN-amplified neuroblastoma models (SK-N-BE(2)-C and KELLY) . For stable suppression, inducible shRNA systems offer temporal control, as demonstrated with doxycycline-inducible SNRPD3 knockdown models . When assessing phenotypic effects, comprehensive functional assays including cell viability (alamar blue), proliferation (BrdU incorporation), and clonogenic capacity provide multidimensional insights . For in vivo evaluation, xenograft models using cells with inducible SNRPD3 knockdown have successfully demonstrated SNRPD3's impact on tumor growth . When manipulating SNRPD3 in different cellular contexts, researchers should consider its interaction with other factors like MYCN, as SNRPD3 depletion shows differential effects in MYCN-amplified versus non-amplified cell lines .

How can researchers accurately detect and characterize SNRPD3-dependent splicing changes?

Identifying SNRPD3-dependent splicing alterations requires specialized techniques and careful experimental design. RNA sequencing with sufficient depth to detect splice junctions provides the most comprehensive assessment of splicing changes. Analysis tools like leafcutter can identify differential splicing patterns between experimental conditions, as demonstrated in studies comparing MYCN and SNRPD3 manipulation . Important experimental controls include parallel manipulation of known splicing factors and validation of key splicing events through RT-PCR with primers spanning exon-exon junctions. When investigating context-specific splicing regulation, researchers should consider manipulating potential cofactors alongside SNRPD3, as exemplified by studies examining SNRPD3 and MYCN co-depletion . For mechanistic insights, correlating splicing changes with functional consequences requires assessing the expression and activity of affected gene products. This integrated approach enables robust characterization of SNRPD3's impact on the splicing landscape.

How does SNRPD3 maintain splicing fidelity in MYCN-driven oncogenesis?

The relationship between SNRPD3 and splicing fidelity in MYCN-driven cancer represents a paradoxical mechanism with therapeutic implications. RNA sequencing analyses have revealed that MYCN overexpression increases the number of differentially spliced genes compared to control conditions, consistent with MYC proteins inducing greater differential splicing when dysregulated in cancer cells . Surprisingly, SNRPD3 knockdown in MYCN-overexpressing cells further increases the number of genes being differentially spliced, particularly affecting cell cycle regulators like BIRC5 and CDK10 . This suggests that rather than promoting aberrant splicing, SNRPD3 actually maintains the fidelity of specific alternative splicing events required by MYCN. This pronounced difference in splicing regulation is MYCN-specific, as SNRPD3 knockdown alone shows fewer effects on differential splicing . This intricate relationship indicates that MYCN-driven tumors require precise control of alternative splicing within a narrow range for optimal growth.

What is the functional significance of SNRPD3 methylation by PRMT5?

Post-translational modification of SNRPD3 through methylation by PRMT5 represents a critical regulatory mechanism with therapeutic potential. Research has demonstrated that MYCN directly binds SNRPD3 and the protein arginine methyltransferase PRMT5, consequently increasing SNRPD3 methylation . This modification appears essential for maintaining proper splicing function in the context of MYCN-driven oncogenesis. Pharmacological targeting of this interaction using the PRMT5 inhibitor JNJ-64619178 reduces both cell viability and SNRPD3 methylation in neuroblastoma cells with high SNRPD3 and MYCN expression . This suggests that disrupting SNRPD3 methylation could provide a therapeutic window for targeting MYCN-amplified cancers while potentially sparing normal cells. Understanding the structural and functional consequences of SNRPD3 methylation requires further investigation but represents a promising avenue for therapeutic development.

How does the SNRPD3 G96V mutation alter mitochondrial dynamics to promote hypoxia resistance?

The SNRPD3 G96V mutation establishes a mechanistic link between spliceosomal dysfunction, mitochondrial dynamics, and cancer cell adaptation to hypoxia. Under hypoxic conditions, cells harboring this mutation display numerous differentially spliced events compared to wild-type cells . A key target is DNM1L mRNA, which encodes the DRP1 protein—a master regulator of mitochondrial fission . As a consequence, mitochondria in SNRPD3 G96V mutant cells become excessively fragmented compared to wild-type cells . This altered mitochondrial morphology appears functionally significant, as treatment with the DRP1 inhibitor Mdivi-1 recovers normal mitochondrial structure and attenuates the hypoxia resistance phenotype in mutant cells . This discovery connects cancer-related spliceosome abnormalities to mitochondrial dynamics and suggests DRP1 inhibition as a potential targeted strategy for cancers harboring the SNRPD3 G96V mutation. This represents a novel example of how a splicing factor mutation can reprogram cellular metabolism through altered processing of specific transcripts.

What strategies could target SNRPD3 or its interactions therapeutically?

Multiple approaches show promise for therapeutically targeting SNRPD3-dependent processes in cancer. Direct inhibition of SNRPD3 itself presents challenges due to its essential cellular functions, but several indirect strategies have emerged. Targeting the SNRPD3-MYCN protein interface represents one approach, as this interaction appears specific to cancer contexts . Inhibiting post-translational modifications of SNRPD3 offers another avenue, exemplified by the PRMT5 inhibitor JNJ-64619178, which reduces SNRPD3 methylation and decreases viability in neuroblastoma cells with high SNRPD3 and MYCN expression . For tumors harboring the SNRPD3 G96V mutation, targeting downstream effects like excessive mitochondrial fragmentation with DRP1 inhibitors such as Mdivi-1 has shown promise in preclinical models . These diverse approaches highlight the multiple nodes of vulnerability in SNRPD3-dependent pathways that could be exploited therapeutically.

How might SNRPD3 serve as a biomarker in cancer diagnostics and prognosis?

The prognostic significance of SNRPD3 expression has been established in multiple cancer contexts. In neuroblastoma specifically, high mRNA expression of SNRPD3 in tumor tissues serves as a strong, independent prognostic factor for poor patient outcome . This suggests potential utility as a biomarker for risk stratification and treatment selection. Beyond expression levels, detection of the SNRPD3 G96V mutation might identify tumors likely to exhibit hypoxia resistance, informing therapeutic strategies . The presence of specific SNRPD3-dependent splicing signatures could also provide prognostic information and guide treatment decisions. Implementation of SNRPD3 as a clinical biomarker would require development of standardized detection methods, establishment of clinically relevant thresholds, and validation in prospective clinical trials. These efforts could ultimately improve patient stratification and treatment personalization in SNRPD3-associated malignancies.

What challenges must be overcome in developing SNRPD3-targeted therapies?

Development of SNRPD3-targeted therapies faces several significant challenges. The essential nature of SNRPD3 in normal cellular splicing raises concerns about potential toxicity with direct targeting approaches. Achieving sufficient selectivity for cancer cells over normal tissues requires sophisticated strategies such as targeting cancer-specific interactions or post-translational modifications . The context-dependent effects of SNRPD3 manipulation complicate therapeutic development, as its role varies depending on the expression of factors like MYCN . Heterogeneity in splicing regulation across different cancer types and even within individual tumors presents additional complexity. Overcoming these challenges will require detailed mechanistic understanding of SNRPD3's cancer-specific functions, development of highly selective targeting approaches, and careful assessment of potential toxicities. Despite these obstacles, the critical role of SNRPD3 in cancer biology justifies continued pursuit of therapeutic strategies targeting this important splicing factor.

How can researchers identify relevant SNRPD3 protein complexes in specific cellular contexts?

Characterizing context-specific SNRPD3 protein interactions requires integrative approaches tailored to biological questions. Immunoprecipitation followed by mass spectrometry provides an unbiased survey of SNRPD3-associated proteins, as demonstrated in studies identifying the SNRPD3-MYCN-PRMT5 complex in neuroblastoma . Co-immunoprecipitation with targeted Western blotting enables validation of specific interactions. For spatiotemporal resolution, proximity ligation assays can detect protein interactions in situ while preserving cellular architecture. When investigating dynamic complexes, crosslinking approaches may capture transient interactions. Functional validation through co-depletion experiments helps establish biological significance, as shown for SNRPD3 and MYCN in neuroblastoma models . Comparing interaction profiles across different cellular contexts (e.g., MYCN-amplified versus non-amplified cells) can reveal cancer-specific complexes with potential therapeutic relevance. This multifaceted approach enables comprehensive characterization of the SNRPD3 interactome in physiological and pathological contexts.

Product Science Overview

Function and Importance

SNRPD3 belongs to the small nuclear ribonucleoprotein (snRNP) core protein family . It plays a vital role in the splicing of pre-mRNA, which is a critical step in the post-transcriptional modification of RNA . The spliceosome, composed of snRNPs including SNRPD3, removes introns from pre-mRNA and joins exons together to form mature mRNA .

Gene and Protein Structure

The SNRPD3 gene is located on chromosome 22 and encodes a protein of approximately 126 amino acids . The protein has a molecular weight of around 18 kDa . It shares significant sequence similarity with other snRNP core proteins, particularly the D1 polypeptide .

Biological Pathways

SNRPD3 is involved in several biological pathways, including:

  • Processing of Capped Intron-Containing Pre-mRNA
  • Processing of Capped Intronless Pre-mRNA
  • Histone pre-mRNA 3’-end processing

These pathways are essential for the proper expression and regulation of genes, impacting various cellular processes and functions .

Clinical Significance

Mutations or dysregulation of the SNRPD3 gene have been associated with certain diseases, such as Schimke Immunoosseous Dysplasia and Connective Tissue Disease . Understanding the role of SNRPD3 in these conditions can provide insights into potential therapeutic targets and treatments.

Research and Applications

Recombinant SNRPD3 is used in research to study its function and interactions within the spliceosome. It is also utilized in the development of assays and diagnostic tools for diseases related to splicing defects .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2024 Thebiotek. All Rights Reserved.