Literature DB >> 8808281

Molecular cloning and characterization of the human interleukin-11 receptor alpha-chain gene, IL11RA, located on chromosome 9p13.

F Van Leuven1, L Stas, C Hilliker, Y Miyake, P Bilinski, A Gossler.   

Abstract

The human gene coding for the interleukin-11 receptor (IL11RA) was cloned and its structure analyzed. The gene is composed of 13 exons comprising nearly 10 kb of DNA that was completely sequenced. The intron-exon boundaries were determined based on the mouse Etl2 and interleukin-11 receptor cDNAs that were recently cloned. The protein sequence predicted by the human gene was over 83% identical with its murine counterpart, with very strict conservation of functionally important domains and signatures. Fluorescence in situ hybridization showed the gene to be located on human chromosome 9p13, syntenic with the mouse etl2 gene on chromosome 4. The coding exons of the Interleukin-11 gene were sequenced in a patient with the cartilage-hair hypoplasia syndrome, which has been linked to a gene on chromosome 9, but no functional mutations were detected.

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Year:  1996        PMID: 8808281     DOI: 10.1006/geno.1996.0010

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  4 in total

1.  Clinical delineation and localization to chromosome 9p13.3-p12 of a unique dominant disorder in four families: hereditary inclusion body myopathy, Paget disease of bone, and frontotemporal dementia.

Authors:  M J Kovach; B Waggoner; S M Leal; D Gelber; R Khardori; M A Levenstien; C A Shanks; G Gregg; M T Al-Lozi; T Miller; W Rakowicz; G Lopate; J Florence; G Glosser; Z Simmons; J C Morris; M P Whyte; A Pestronk; V E Kimonis
Journal:  Mol Genet Metab       Date:  2001-12       Impact factor: 4.797

2.  Genetic mapping of a mouse ocular malformation locus, Tcm, to chromosome 4.

Authors:  E Zhou; P Grimes; J Favor; B Koeberlein; W Pretsch; A Neuhauser-Klaus; D Sidjanin; D Stambolian
Journal:  Mamm Genome       Date:  1997-03       Impact factor: 2.957

3.  Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age.

Authors:  Zichen Wang; Li Li; Benjamin S Glicksberg; Ariel Israel; Joel T Dudley; Avi Ma'ayan
Journal:  J Biomed Inform       Date:  2017-11-04       Impact factor: 6.317

4.  Expression and function of interleukin-11 and its receptor alpha in the human endometrium.

Authors:  Natalia Karpovich; Katya Chobotova; Janet Carver; John K Heath; David H Barlow; Helen J Mardon
Journal:  Mol Hum Reprod       Date:  2003-02       Impact factor: 4.025

  4 in total

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