Biomedical subjects

Quanzhi Li

Publications and source records attributed to Quanzhi Li.

3 recordsLinked to original sources

PubMed2006

A murine Mll-AF4 knock-in model results in lymphoid and myeloid deregulation and hematologic malignancy.

The 2 most frequent human MLL hematopoietic malignancies involve either AF4 or AF9 as fusion partners; each has distinct biology but the role of the fusion partner is not clear. We produced Mll-AF4 knock-in (KI) mice by homologous recombination in embryonic stem cells and compared them with Mll-AF9 KI mice. Young Mll-AF4 mice had lymphoid and myeloid deregulation manifest by increased lymphoid and myeloid cells in hematopoietic organs. In vitro, bone marrow cells from young mice formed unique mixed pro-B lymphoid (B220(+)CD19(+)CD43(+)sIgM(-), PAX5(+), TdT(+), IgH rearranged)/myeloid (CD11b/Mac1(+), c-fms(+), lysozyme(+)) colonies when grown in IL-7- and Flt3 ligand-containing media. Mixed lymphoid/myeloid hyperplasia and hematologic malignancies (most frequently B-cell lymphomas) developed in Mll-AF4 mice after prolonged latency; long latency to malignancy indicates that Mll-AF4-induced lymphoid/myeloid deregulation alone is insufficient to produce malignancy. In contrast, young Mll-AF9 mice had predominately myeloid deregulation in vivo and in vitro and developed myeloid malignancies. The early onset of distinct mixed lymphoid/myeloid lineage deregulation in Mll-AF4 mice shows evidence for both "instructive" and "noninstructive" roles for AF4 and AF9 as partners in MLL fusion genes. The molecular basis for "instruction" and secondary cooperating mutations can now be studied in our Mll-AF4 model.

Animals↗

PubMed2006

Identifying important concepts from medical documents.

Automated medical concept recognition is important for medical informatics such as medical document retrieval and text mining research. In this paper, we present a software tool called keyphrase identification program (KIP) for identifying topical concepts from medical documents. KIP combines two functions: noun phrase extraction and keyphrase identification. The former automatically extracts noun phrases from medical literature as keyphrase candidates. The latter assigns weights to extracted noun phrases for a medical document based on how important they are to that document and how domain specific they are in the medical domain. The experimental results show that our noun phrase extractor is effective in identifying noun phrases from medical documents, so is the keyphrase extractor in identifying important medical conceptual terms. They both performed better than the systems they were compared to.

Algorithms↗

PubMed2003

FLT3 expressing leukemias are selectively sensitive to inhibitors of the molecular chaperone heat shock protein 90 through destabilization of signal transduction-associated kinases.

PURPOSE: We conducted studies to evaluate the hypothesis that FLT3 is a client of heat shock protein (Hsp) 90 and inhibitors of Hsp90 may be useful for therapy of leukemia. EXPERIMENTAL DESIGN: The effects of the Hsp90-inhibitor 17-allylamino-17-demethoxygeldanamycin (17-AAG) on cell growth, expression of signal transduction kinases, apoptosis, FLT3 phosphorylation and interaction with Hsp90 was determined in FLT3(+) human leukemias. RESULTS: We found that FLT3 is included in a multiprotein complex that includes Hsp90 and p23. 17-AAG inhibited FLT3 phosphorylation and interaction with Hsp90. FLT3(+) leukemias were significantly more sensitive to the Hsp90 inhibitors 17-AAG and Herbimycin A in cell growth assays than FLT3-negative leukemias. Cells transfected with FLT3 became sensitive to 17-AAG. Cell cycle inhibition and apoptosis were induced by 17-AAG. Cells with constitutive expression of FLT3, as a result of internal tandem duplication, were the most sensitive; cells with wild-type FLT3 were intermediate in sensitivity, and FLT3-negative cells were the least sensitive. 17-AAG resulted in reduced cellular mass of FLT3, RAF, and AKT. The mass of another Hsp, Hsp70, was increased. The expression level of MLL-AF4 fusion protein was not reduced by 17-AAG in human leukemia cells. CONCLUSIONS: FLT3(+) leukemias are sensitive to 17-AAG and Herbimycin A. 17-AAG inhibits leukemia cells with either FLT3-internal tandem duplication or wild-type FLT3, in part through destabilization of client kinases including FLT3, RAF, and AKT. 17-AAG is potentially useful for therapy of FLT3-expressing leukemias, including the mixed lineage leukemia fusion gene leukemias.

Apoptosis↗