Dataset Information

Comparison of human ZFY and ZFX transcripts.

ABSTRACT: ZFY is a candidate for the primary sex-determining gene (TDF, testis-determining factor) on the human Y chromosome. We have isolated cDNA clones of ZFY and its homologue on the X chromosome, ZFX. The transcripts of these genes are very similar to each other and encode predicted proteins of equal size. The conceptual amino acid sequence of both proteins contains an acidic domain, similar to the activation domain of transcription factors, and a potential nucleic acid-binding domain of 13 "zinc fingers." We have used the polymerase chain reaction to demonstrate the expression of ZFY and ZFX in a wide range of adult and fetal human tissues and to show that ZFX is expressed from the inactive X chromosome present in human-mouse hybrids.

SUBMITTER: Palmer MS

PROVIDER: S-EPMC53546 | biostudies-other | 1990 Mar

REPOSITORIES: biostudies-other

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Comparison of human ZFY and ZFX transcripts.

Palmer M S MS Berta P P Sinclair A H AH Pym B B Goodfellow P N PN

Proceedings of the National Academy of Sciences of the United States of America 19900301 5

ZFY is a candidate for the primary sex-determining gene (TDF, testis-determining factor) on the human Y chromosome. We have isolated cDNA clones of ZFY and its homologue on the X chromosome, ZFX. The transcripts of these genes are very similar to each other and encode predicted proteins of equal size. The conceptual amino acid sequence of both proteins contains an acidic domain, similar to the activation domain of transcription factors, and a potential nucleic acid-binding domain of 13 "zinc fin ...[more]

PMID: 2308929

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Project description:In excess of 12% of human cancer incidents have a viral cofactor. Epidemiological studies of idiopathic human cancers indicate that additional tumor viruses remain to be discovered. Recent advances in sequencing technology have enabled systematic screenings of human tumor transcriptomes for viral transcripts. However, technical problems such as low abundances of viral transcripts in large volumes of sequencing data, viral sequence divergence, and homology between viral and human factors significantly confound identification of tumor viruses. We have developed a novel computational approach for detecting viral transcripts in human cancers that takes the aforementioned confounding factors into account and is applicable to a wide variety of viruses and tumors. We apply the approach to conducting the first systematic search for viruses in neuroblastoma, the most common cancer in infancy. The diverse clinical progression of this disease as well as related epidemiological and virological findings are highly suggestive of a pathogenic cofactor. However, a viral etiology of neuroblastoma is currently contested. We mapped 14 transcriptomes of neuroblastoma as well as positive and negative controls to the human and all known viral genomes in order to detect both known and unknown viruses. Analysis of controls, comparisons with related methods, and statistical estimates demonstrate the high sensitivity of our approach. Detailed investigation of putative viral transcripts within neuroblastoma samples did not provide evidence for the existence of any known human viruses. Likewise, de-novo assembly and analysis of chimeric transcripts did not result in expression signatures associated with novel human pathogens. While confounding factors such as sample dilution or viral clearance in progressed tumors may mask viral cofactors in the data, in principle, this is rendered less likely by the high sensitivity of our approach and the number of biological replicates analyzed. Therefore, our results suggest that frequent viral cofactors of metastatic neuroblastoma are unlikely.

Dataset Information

Comparison of human ZFY and ZFX transcripts.

Publications

Comparison of human ZFY and ZFX transcripts.

Similar Datasets

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