Carlo M. Croce

Bio: Carlo M. Croce is an academic researcher from Ohio State University. The author has contributed to research in topics: microRNA & Cancer. The author has an hindex of 198, co-authored 1135 publications receiving 189007 citations. Previous affiliations of Carlo M. Croce include University of Nebraska Medical Center & University of California, Los Angeles.

Microvesicles containing miRNAs promote muscle cell death in cancer cachexia via TLR7

Abstract: MicroRNAs (miRNAs) are small, noncoding RNAs that regulate gene expression and, in cancers, are often packaged within secreted microvesicles. The cachexia syndrome is a debilitating state of cancer that predominantly results from the loss of skeletal muscle mass, which is in part associated with apoptosis. How tumors promote apoptosis in distally located skeletal muscles has not been explored. Using both tumor cell lines and patient samples, we show that tumor-derived microvesicles induce apoptosis of skeletal muscle cells. This proapoptotic activity is mediated by a microRNA cargo, miR-21, which signals through the Toll-like 7 receptor (TLR7) on murine myoblasts to promote cell death. Furthermore, tumor microvesicles and miR-21 require c-Jun N-terminal kinase activity to regulate this apoptotic response. Together, these results describe a unique pathway by which tumor cells promote muscle loss, which might provide a great insight into elucidating the causes and treatment options of cancer cachexia.

Chromosomal rearrangements and microRNAs: a new cancer link with clinical implications.

Abstract: There is widespread aberrant expression of mature and/or precursor microRNAs in cancer cells, as microRNAs are deregulated consequent to chromosomal alterations and other genomic abnormalities. The identification of such abnormalities has a clear diagnostic and prognostic significance, and there are ever increasing examples of links between certain human cancers and modifications at microRNA loci.

The expression of a truncated HMGI-C gene induces gigantism associated with lipomatosis.

Abstract: Rearrangements of the HMGI-C gene have frequently been detected in human benign tumors of mesenchymal origin, including lipomas. The HMGI-C protein has three AT-hook domains and an acidic COOH-terminal tail. The HMGI-C modifications consist in the loss of the C-tail and the fusion with ectopic sequences. Recent results show that the loss of the COOH-terminal region, rather than the acquisition of new sequences, is sufficient to confer to HMGI-C the ability to transform NIH3T3 cells. Therefore, transgenic mice carrying a HMGI-C construct (HMGI-C/T), containing only the three AT-hook domains, were generated. The HMGI-C/T mice showed a giant phenotype, together with a predominantly abdominal/pelvic lipomatosis, suggesting a pivotal role of the HMGI-C truncation in the generation of human lipomas.

Lack of the architectural factor HMGA1 causes insulin resistance and diabetes in humans and mice

Abstract: Type 2 diabetes mellitus is a widespread disease, affecting millions of people globally. Although genetics and environmental factors seem to have a role, the cause of this metabolic disorder is largely unknown. Here we report a genetic flaw that markedly reduced the intracellular expression of the high mobility group A1 (HMGA1) protein, and adversely affected insulin receptor expression in cells and tissues from four subjects with insulin resistance and type 2 diabetes. Restoration of HMGA1 protein expression in subjects' cells enhanced INSR gene transcription, and restored cell-surface insulin receptor protein expression and insulin-binding capacity. Loss of Hmga1 expression, induced in mice by disrupting the Hmga1 gene, considerably decreased insulin receptor expression in the major targets of insulin action, largely impaired insulin signaling and severely reduced insulin secretion, causing a phenotype characteristic of human type 2 diabetes.

Overexpression of the HMGA2 gene in transgenic mice leads to the onset of pituitary adenomas.

Abstract: Overexpression of the HMGA2 gene is a common feature of neoplastic cells both in experimental and human models. Intragenic and extragenic HMGA2 rearrangements responsible for HMGA2 gene overexpression have been frequently detected in human benign tumours of mesenchymal origin. To better understand the role of HMGA2 overexpression in human tumorigenesis, we have generated transgenic mice carrying the HMGA2 gene under the transcriptional control of the cytomegalovirus promoter. High expression of the transgene was demonstrated in all the mouse tissues analysed, whereas no expression of the endogenous HMGA2 gene was detected in the same tissues from wild-type mice. In this study, two independent lines of transgenic mice have been generated. By 6 months of age, 85% of female animals of both transgenic lines developed pituitary adenomas secreting prolactin and growth hormone. The transgenic males developed the same phenotype with a lower penetrance (40%) and a longer latency period (about 18 months). Therefore, these data demonstrate that the overexpression of HMGA2 leads to the onset of mixed growth hormone/prolactin cell pituitary adenomas. These transgenic mice may represent an important tool for the study of this kind of neoplasia.

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Abstract: The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSIBLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.

Analyzing real-time PCR data by the comparative C(T) method.

Abstract: Two different methods of presenting quantitative gene expression exist: absolute and relative quantification. Absolute quantification calculates the copy number of the gene usually by relating the PCR signal to a standard curve. Relative gene expression presents the data of the gene of interest relative to some calibrator or internal control gene. A widely used method to present relative gene expression is the comparative C(T) method also referred to as the 2 (-DeltaDeltaC(T)) method. This protocol provides an overview of the comparative C(T) method for quantitative gene expression studies. Also presented here are various examples to present quantitative gene expression data using this method.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。