ARRANGEMENT OF GENE LOCI IN EUPLOID CHINESE HAMSTER CELLS AND GENETIC CONSEQUENCES OF REARRANGEMENT IN CHO CELLS

In both euploid Chinese hamster (Cricetulus griseus) cells and pseudodiploid Chinese hamster ovary (CHO) cells, gene assignments were accomplished by G band chromosome and isozyme analysis (32 isozymes) of interspecific somatic cell hybrids obtained after HAT selection of mouse CL 1D (TK('-)) cells which were PEG-fused with either euploid Chinese hamster cells or HPRT('-) CHO cells. Hybrids slowly segregated hamster chromosomes. Clone panels consisting of independent hybrid clones and subclones containing different combinations of Chinese hamster chromosomes and isozymes were established from each type of fusion.^ These clone panels enabled us to provisionally assign the loci for: nucleoside phosphorylase (NP), glyoxalase (GLO), glutathione reductase (GSR), adenosine kinase (ADK), esterase D (ESD), peptidases B and S (PEPB and -S) and phosphoglucomutase 2 (PGM2, human nomenclature) to chromosome 1; adenylate kinase 1 (AK1), adenosine deaminase (ADA) and inosine triosephosphatase (ITP) to chromosome 6; triosephosphate isomerase (TPI) to chromosome 8; and glucose phosphate isomerse (GPI) and peptidase D (PEPD) to chromosome 9.^ We also confirm the assignments of 6-phosphogluconate dehydrogenase (PGD), PGM1, enolase 1 (ENO1) and diptheria toxin sensitivity (DTS) to chromosome 2 as well as provisionally assign galactose-1-phosphate uridyl transferase (GALT) and AK2 to chromosome 2. Selection in either HAT or BrdU for hybrids that had retained or lost the chromosome carrying the locus for TK enabled us to assign the loci for TK, galactokinase (GALK) and acid phosphatase 1 (ACP1) to Chinese hamster chromosome 7.^ These results are discussed in relation to current theories on the basis for high frequency of drug resistant autosomal recessive mutants in CHO cells and conservation of mammalian autosomal linkage groups. ^

BIOMEDICAL LANGUAGE UNDERSTANDING AND EXTRACTION (BLUE-TEXT): A MINIMAL SYNTACTIC, SEMANTIC METHOD

Clinical text understanding (CTU) is of interest to health informatics because critical clinical information frequently represented as unconstrained text in electronic health records are extensively used by human experts to guide clinical practice, decision making, and to document delivery of care, but are largely unusable by information systems for queries and computations. Recent initiatives advocating for translational research call for generation of technologies that can integrate structured clinical data with unstructured data, provide a unified interface to all data, and contextualize clinical information for reuse in multidisciplinary and collaborative environment envisioned by CTSA program. This implies that technologies for the processing and interpretation of clinical text should be evaluated not only in terms of their validity and reliability in their intended environment, but also in light of their interoperability, and ability to support information integration and contextualization in a distributed and dynamic environment. This vision adds a new layer of information representation requirements that needs to be accounted for when conceptualizing implementation or acquisition of clinical text processing tools and technologies for multidisciplinary research. On the other hand, electronic health records frequently contain unconstrained clinical text with high variability in use of terms and documentation practices, and without commitmentto grammatical or syntactic structure of the language (e.g. Triage notes, physician and nurse notes, chief complaints, etc). This hinders performance of natural language processing technologies which typically rely heavily on the syntax of language and grammatical structure of the text. This document introduces our method to transform unconstrained clinical text found in electronic health information systems to a formal (computationally understandable) representation that is suitable for querying, integration, contextualization and reuse, and is resilient to the grammatical and syntactic irregularities of the clinical text. We present our design rationale, method, and results of evaluation in processing chief complaints and triage notes from 8 different emergency departments in Houston Texas. At the end, we will discuss significance of our contribution in enabling use of clinical text in a practical bio-surveillance setting.