OBJECTIVE: The aim of this study was to identify changes in the cervical transcriptome in the human uterine cervix as a function of ripening before the onset of labor. STUDY DESIGN: Human cervical tissue was obtained from women at term not in labor with ripe (n = 11) and unripe (n = 11) cervices and profiled using Affymetrix GeneChip HGU133Plus2.0 arrays. Gene expression was analyzed using a moderated t-test (False Discovery Rate 5%). Gene ontology and pathway analysis were performed. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used for confirmation of selected differentially expressed genes. RESULTS: (1) Ninety-one genes were differentially expressed between ripe and unripe groups. (2) Cervical ripening was associated with enrichment of specific biological processes (e.g. cell adhesion, regulation of anatomical structure), pathways and 11 molecular functions (e.g. extracelluar matrix (ECM)-structural constituent, protein binding, glycosaminoglycan binding). (3) qRT-PCR confirmed that 9 of 11 tested differentially expressed genes (determined by microarray) were upregulated in a ripe cervix (e.g. MYOCD, VCAN, THBS1, COL5A1). (4) Twenty-three additional genes related to ECM metabolism and adhesion molecules were differentially regulated (by qRT-PCR) in ripe cervices. CONCLUSION: (1) This is the first description of the changes in the human cervical transcriptome with ripening before the onset of labor. (2) Biological processes, pathways and molecular functions were identified with the use of this unbiased approach. (3) In contrast to cervical dilation after term labor, inflammation-related genes did not emerge as differentially regulated with cervical ripening. (4) Myocardin was identified as a novel gene upregulated in human cervical ripening.
OBJECTIVE: The aim of this study was to identify changes in the cervical transcriptome in the human uterine cervix as a function of ripening before the onset of labor. STUDY DESIGN:Human cervical tissue was obtained from women at term not in labor with ripe (n = 11) and unripe (n = 11) cervices and profiled using Affymetrix GeneChip HGU133Plus2.0 arrays. Gene expression was analyzed using a moderated t-test (False Discovery Rate 5%). Gene ontology and pathway analysis were performed. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used for confirmation of selected differentially expressed genes. RESULTS: (1) Ninety-one genes were differentially expressed between ripe and unripe groups. (2) Cervical ripening was associated with enrichment of specific biological processes (e.g. cell adhesion, regulation of anatomical structure), pathways and 11 molecular functions (e.g. extracelluar matrix (ECM)-structural constituent, protein binding, glycosaminoglycan binding). (3) qRT-PCR confirmed that 9 of 11 tested differentially expressed genes (determined by microarray) were upregulated in a ripe cervix (e.g. MYOCD, VCAN, THBS1, COL5A1). (4) Twenty-three additional genes related to ECM metabolism and adhesion molecules were differentially regulated (by qRT-PCR) in ripe cervices. CONCLUSION: (1) This is the first description of the changes in the human cervical transcriptome with ripening before the onset of labor. (2) Biological processes, pathways and molecular functions were identified with the use of this unbiased approach. (3) In contrast to cervical dilation after term labor, inflammation-related genes did not emerge as differentially regulated with cervical ripening. (4) Myocardin was identified as a novel gene upregulated in human cervical ripening.
Authors: Juan Carlos Rodríguez-Manzaneque; Jennifer Westling; Shelley N-M Thai; Alfonso Luque; Vera Knauper; Gillian Murphy; John D Sandy; M Luisa Iruela-Arispe Journal: Biochem Biophys Res Commun Date: 2002-04-26 Impact factor: 3.575
Authors: Roberto Romero; Jezid Miranda; Juan P Kusanovic; Tinnakorn Chaiworapongsa; Piya Chaemsaithong; Alicia Martinez; Francesca Gotsch; Zhong Dong; Ahmed I Ahmed; Majid Shaman; Kia Lannaman; Bo Hyun Yoon; Sonia S Hassan; Chong J Kim; Steven J Korzeniewski; Lami Yeo; Yeon Mee Kim Journal: J Perinat Med Date: 2015-01 Impact factor: 1.901
Authors: Pooja Mittal; Roberto Romero; Adi L Tarca; Sorin Draghici; Chia-Ling Nhan-Chang; Tinnakorn Chaiworapongsa; John Hotra; Ricardo Gomez; Juan Pedro Kusanovic; Deug-Chan Lee; Chong Jai Kim; Sonia S Hassan Journal: Am J Obstet Gynecol Date: 2011-02 Impact factor: 8.661
Authors: Michele Donato; Zhonghui Xu; Alin Tomoiaga; James G Granneman; Robert G Mackenzie; Riyue Bao; Nandor Gabor Than; Peter H Westfall; Roberto Romero; Sorin Draghici Journal: Genome Res Date: 2013-08-09 Impact factor: 9.043