Prognostic Markers of Myelodysplastic Syndromes.

Myelodysplastic syndrome (MDS) is a clonal disease characterized by multilineage dysplasia, peripheral blood cytopenias, and a high risk of transformation to acute myeloid leukemia. In theory, from clonal hematopoiesis of indeterminate potential to hematologic malignancies, there is a complex interplay between genetic and epigenetic factors, including miRNA. In practice, karyotype analysis assigns patients to different prognostic groups, and mutations are often associated with a particular disease phenotype. Among myeloproliferative disorders, secondary MDS is a group of special entities with a typical spectrum of genetic mutations and cytogenetic rearrangements resembling those in de novo MDS. This overview analyzes the present prognostic systems of MDS and the most recent efforts in the search for genetic and epigenetic markers for the diagnosis and prognosis of MDS.

Alteration of SC35 localization by transfection reagents.

Transfection is a powerful tool that enables introducing foreign nucleic acids into living cells in order to study the function of a gene product. Ever since the discovery of transfection many side effects or artifacts caused by transfection reagents have been reported. Here, we show that the transfection reagent, JetPRIME alters the localization of the splicing protein SC35 widely used as a nuclear speckle marker. We demonstrate that transfection of plasmids with JetPRIME leads to enlarged SC35 speckles and SC35 cytoplasmic granules. By contrast, transfection of the same plasmid with Lipofectamine 3000 does not have any effect on SC35 localization. The formation of SC35 cytoplasmic granules by JetPRIME-mediated transfection is independent of exogenous expression by plasmid and although similar in morphology they are distinct from P-bodies and stress granules. This method of transfection affected only SC35 and phosphorylated SR proteins but not the nuclear speckles. The JetPRIME-mediated transfection also showed compromised transcription in cells with enlarged SC35 speckles. Our work indicates that the use of JetPRIME alters SC35 localization and can affect gene expression and alternative splicing. Therefore, caution should be exercised when interpreting results after the use of a transient transfection system, particularly when the subject of the study is the function of a protein in the control of gene expression or mRNA splicing.

Proteomic Characterization of Transcription and Splicing Factors Associated with a Metastatic Phenotype in Colorectal Cancer.

We investigated new transcription and splicing factors associated with the metastatic phenotype in colorectal cancer. A concatenated tandem array of consensus transcription factor (TF)-response elements was used to pull down nuclear extracts in two different pairs of colorectal cancer cells, KM12SM/KM12C and SW620/480, genetically related but differing in metastatic ability. Proteins were analyzed by label-free LC-MS and quantified with MaxLFQ. We found 240 proteins showing a significant dysregulation in highly metastatic KM12SM cells relative to nonmetastatic KM12C cells and 257 proteins in metastatic SW620 versus SW480. In both cell lines there were similar alterations in genuine TFs and components of the splicing machinery like UPF1, TCF7L2/TCF-4, YBX1, or SRSF3. However, a significant number of alterations were cell-line specific. Functional silencing of MAFG, TFE3, TCF7L2/TCF-4, and SRSF3 in KM12 cells caused alterations in adhesion, survival, proliferation, migration, and liver homing, supporting their role in metastasis. Finally, we investigated the prognostic value of the altered TFs and splicing factors in cancer patients. SRSF3 and SFPQ showed significant prognostic value. We observed that SRSF3 displayed a gradual loss of expression associated with cancer progression. Loss of SRSF3 expression was significantly associated with poor survival and shorter disease-free survival, particularly in early stages, in colorectal cancer.

HNRNPA1, a Splicing Regulator, Is an Effective Target Protein for Cervical Cancer Detection: Comparison With Conventional Tumor Markers.

OBJECTIVE: Heterogeneous nuclear ribonucleoprotein A1 (HNRNPA1), serine/arginine-rich splicing factor 1 (SRSF1), and SRSF3 are splicing regulators associated with oncogenesis. However, the alterations of SF proteins and their diagnostic values in cervical cancer are unclear. To apply SFs clinically, effective marker selection and characterization of the target organ properties are essential. MATERIALS AND METHODS: We concurrently analyzed HNRNPA1, SRSF1, SRSF3, and the conventional tumor markers squamous cell carcinoma antigen (SCCA) and carcinoembryonic antigen (CEA) in cervical tissue samples (n = 127) using semiquantitative immunoblotting. In addition, we compared them with p16 (cyclin-dependent kinase inhibitor 2A [CDKN2A]), which has shown high diagnostic efficacy in immunohistochemical staining studies and has been proposed as a candidate protein for point-of-care screening biochemical tests of cervical neoplasia. RESULTS: HNRNPA1, higher molecular weight forms of SRSF1 (SRSF1-HMws), SRSF3, CEA, and p16 levels were higher (P < 0.05) in cervical carcinoma tissue samples than in nontumoral cervical tissue samples. However, the levels of SRSF1-Total (sum of SRSF1-HMws and a lower molecular weight form of SRSF1) and SCCA, a commonly used cervical tumor marker, were not different between carcinoma and nontumoral tissue samples. In paired sample comparisons, HNRNPA1 (94%) showed the highest incidence of up-regulation (carcinoma/nontumor, >1.5) in cervical carcinoma, followed by p16 (84%), SRSF1-HMws (69%), SRSF3 (66%), CEA (66 %), SCCA (32%), and SRSF1-Total (31%). HNRNPA1 (92%) and p16 (91%) presented the two highest diagnostic accuracies for cervical carcinoma, which were superior to those of SRSF3 (75%), SRSF1-HMws (72%), CEA (72%), SCCA (59%), and SRSF1-Total (55%). CONCLUSIONS: Our results identified that HNRNPA1 is the best diagnostic marker among the SFs and conventional markers given its excellent diagnostic efficacy for cervical carcinoma, and it has a p16-comparable diagnostic value. We suggest that HNRNPA1 is an additional effective target protein for developing cervical cancer detection tools.

Characterization of RNA-Protein Interactions: Lessons from Two RNA-Binding Proteins, SRSF1 and SRSF2.

SR proteins are a class of RNA-binding proteins whose RNA-binding ability is required for both constitutive and alternative splicing. While members of the SR protein family were once thought to have redundant functions, in-depth biochemical analysis of their RNA-binding abilities has revealed distinct binding profiles for each SR protein, that often lead to either synergistic or antagonistic functions. SR protein family members SRSF1 and SRSF2 are two of the most highly studied RNA-binding proteins. Here we examine the various methods used to differentiate SRSF1 and SRSF2 RNA-binding ability. We discuss the benefits and type of information that can be determined using each method.

Detecting RNA-Protein Interaction Using End-Labeled Biotinylated RNA Oligonucleotides and Immunoblotting.

RNA-protein interaction can be detected by RNA pull-down and immunoblotting methods. Here, we describe a method to detect RNA-protein interaction using RNA pull down and to identify the proteins that are pulled-down by the RNA using immunoblotting. In this protocol, RNAs with specific sequences are biotinylated and immobilized onto Streptavidin beads, which are then used to pull down interacting proteins from cellular extracts. The presence of a specific protein is subsequently verified by SDS- polyacrylamide gel electrophoresis and immunoblotting with antibodies. Interactions between the SMN RNA and the PSF protein and between the caspase-2 RNA and the SRSF3 protein (SRp20) in nuclear extract prepared from HeLa cells are illustrated as examples.