Correction to: Multiple receptor tyrosine kinases converge on microRNA-134 to control KRAS, STAT5B, and glioblastoma.

Following publication of the article, the author named as "B Dey", wished to point out that his full name is "Bijan K. Dey". This was not reflected in the typesetting of the article, and as a consequence the article is not visible on Pub Med when a search is conducted on his full name.

Multiple receptor tyrosine kinases converge on microRNA-134 to control KRAS, STAT5B, and glioblastoma.

Receptor tyrosine kinases (RTKs) are co-deregulated in a majority of glioblastoma (GBM), the most common and most deadly brain tumor. We show that the RTKs MET, EGFR, and PDGFR regulate microRNA-134 (miR-134) in GBM. We find that miR-134 is downregulated in human tumors and cancer stem cells and that its expression inversely correlates with the activation of MET, EGFR, and PDGFR. We demonstrate that miR-134 inhibits cancer cell and stem-cell proliferation, survival, and xenograft growth, as well as cancer stem-cell self-renewal and stemness. We identify KRAS and STAT5B as targets of miR-134, and establish molecular and functional links between RTKs, miR-134, KRAS/STAT5B and malignancy in vitro and in vivo. We show that miR-134 induction is required for the anti-tumor effects of RTK inhibitors. We also uncover the molecular pathways through which RTKs regulate miR-134 expression and demonstrate the involvement of MAPK signaling and the KLF4 transcription factor. We therefore identify miR-134 as a novel RTK-regulated tumor-suppressive hub that mediates RTK and RTK-inhibitor effects on GBM malignancy by controlling KRAS and STAT5B.

Using Support Vector Machine Regression to Model the Retention of Peptides in Immobilized Metal-affinity Chromatography.

Retention of histidine-containing peptides in immobilized metal-affinity chromatography (IMAC) has been studied using several hundred model peptides. Retention in a Nickel column is primarily driven by the number of histidine residues; however, the amino acid composition of the peptide also plays a significant role. A regression model based on support vector machines was used to learn and subsequently predict the relationship between the amino acid composition and the retention time on a Nickel column. The model was predominantly governed by the count of the histidine residues, and the isoelectric point of the peptide.

Immunospecific reduction of antioligonucleotide antibody-forming cells with a tetrakis-oligonucleotide conjugate (LJP 394), a therapeutic candidate for the treatment of lupus nephritis.

A discrete tetravalent conjugate, 7a (LJP 394), consisting of four oligonucleotides attached to a common carrier or platform was prepared. Single-stranded oligonucleotide 20-mers consisting of alternating deoxycytidine-deoxyadenosine nucleotides, (CA)10, were attached to a tetrabromoacetylated platform by displacement with sulfhydryl-terminated linkers. The tetrabromoacetylated platform 3a was synthesized in three steps using triethylene glycol bis-(chloroformate). The single-stranded conjugate was characterized by polyacrylamide gel electrophoresis, DNA sequencing, phosphate analysis, carbon and nitrogen combustion analysis, and correlation of stoichiometry to conversion in the conjugation process. HPLC and capillary electrophoretic methods were developed to evaluate purity. The tetrakis, single-stranded conjugate was annealed with a stoichiometric amount of a complementary single-stranded oligonucleotide 20-mer consisting of alternating thymidine-deoxyguanosine nucleotides, (TG)10. The double-stranded conjugate LJP 394 was characterized by melt temperature and hyperchromicity, phosphate analysis, and carbon and nitrogen combustion analysis. LJP 394 inhibits binding of DNA to anti-double-stranded oligonucleotide antibodies and reduces anti-oligonucleotide-specific plaque (antibody)-forming cells in an immunized mouse model by a proposed mechanism involving cross-linking B cell surface immunoglobins.

Conjugates of double-stranded oligonucleotides with poly(ethylene glycol) and keyhole limpet hemocyanin: a model for treating systemic lupus erythematosus.

Two types of oligonucleotides were synthesized with linker groups attached at the 5'-end. Both were repeating dimers of deoxyribocytidine and deoxyriboadenosine. A 20-mer was prepared with a thiol-containing linker, masked as a disulfide, and a 50-mer was prepared with a vicinal diol-containing linker. A tetraiodoacetylated poly(ethylene glycol) (PEG) derivative was synthesized and reacted with the thiol-containing 20-mer to provide an oligonucleotide PEG conjugate of precisely four oligonucleotides on each PEG carrier. The vicinal diol on the 50-mer was oxidized to an aldehyde and conjugated to keyhole limpet hemocyanin (KLH) to provide an oligonucleotide-KLH conjugate by reductive alkylation. The conjugates were annealed with complementary (TG)n strands. While the double-stranded oligonucleotide-KLH conjugate is an immunogen, eliciting the synthesis of antibodies against oligonucleotides, the PEG conjugate has the biological property of specifically suppressing (tolerizing) B cells which make antibodies against the immunizing oligonucleotide.

The evaluation of synthetic strategies for oligonucleotides of defined sequence. Computer programs in nucleic acid synthesis: I.

A computer program has been developed to aid in the evaluation of strategies for the synthesis of oligodeoxyribonucleotides of defined sequence. The program reduces the time required for the development of the most cost-effective strategy from several hours to a few minutes. The chemist supplies the program with the order of internucleotide bond formation, the final amount of material desired and the data giving anticipated reaction yields and molar ratios of reactants. The Mr and amount required for each intermediate in the proposed synthetic approach is then calculated. All of this data can be stored, edited or printed. By changing various input parameters (e.g., order of internucleotide bond formation, expected reaction yield), the chemist can utilize this program to analyze multiple synthetic approaches rapidly. The synthetic approach that will minimize the amounts of the expensive starting materials needed to complete the synthesis of the desired DNA can thus be quickly identified.