Abstract 566: The Transcriptome of the Human Carotid Atherosclerotic Plaque

2013 ◽  
Vol 33 (suppl_1) ◽  
Author(s):  
Valeriy Poroyko ◽  
Susan McCormick ◽  
Qi He ◽  
Christopher L Skelly

Ischemic stroke is a complex disease process with carotid atherosclerosis as the major etiologic source. To better understand the biology of a vulnerable plaque we carried out whole transcriptome shotgun sequencing of human carotid plaques. Methods 5 carotid atherosclerotic plaques were obtained at the time of operation (2 symptomatic, 2 asymptomatic, and 1 control). RNA was isolated and 5 cDNA libraries were constructed and sequenced with single-reads100nt in length using one line of flow cell of HySeq 2000 (Illumina Inc). Standard bioinformatic techniques were used to ensure quality screening of raw reads. Ingenuity Systems IPA software was used to determine canonical biological pathways overrepresented in plaques. We compared our data to the data of Illumina Human Body Map processed by a similar analytical pipeline. Linkage analysis was performed. Results Among detected pathways were “Atherosclerosis Signaling” and pathways involved in inflammation and cell differentiation. We analyzed gene expression data by creating a distance matrix based on Jaccard similarity measure (Fig 1). When gene expression values were used to create a matrix of Euclidian distances between known transcriptomes, four specimens including the control clustered with heart and muscle. The transcriptome from the stroke patient was more similar to lung, liver and heart. Conclusion Whole transcriptome analysis of carotid plaques is feasible and ontologically accurate. We demonstrate linkage differences between symptomatic and asymptomatic plaques and biological pathways involved in vascular lesion formation. Further analysis may provide insight into the vulnerable plaque pathobiology.

PLoS ONE ◽  
2011 ◽  
Vol 6 (7) ◽  
pp. e21803 ◽  
Author(s):  
Michelle R. Lennartz ◽  
Ankur Aggarwal ◽  
Tanya M. Michaud ◽  
Paul J. Feustel ◽  
David M. Jones ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Eva Bengtsson ◽  
Karin Hultman ◽  
Andreas Edsfeldt ◽  
Ana Persson ◽  
Mihaela Nitulescu ◽  
...  

2008 ◽  
Vol 9 (1) ◽  
pp. 236
Author(s):  
T. Djuric ◽  
M. Zivkovic ◽  
A. Stankovic ◽  
Dj. Radak ◽  
S. Radak ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 665
Author(s):  
Hui Yu ◽  
Yan Guo ◽  
Jingchun Chen ◽  
Xiangning Chen ◽  
Peilin Jia ◽  
...  

Transcriptomic studies of mental disorders using the human brain tissues have been limited, and gene expression signatures in schizophrenia (SCZ) remain elusive. In this study, we applied three differential co-expression methods to analyze five transcriptomic datasets (three RNA-Seq and two microarray datasets) derived from SCZ and matched normal postmortem brain samples. We aimed to uncover biological pathways where internal correlation structure was rewired or inter-coordination was disrupted in SCZ. In total, we identified 60 rewired pathways, many of which were related to neurotransmitter, synapse, immune, and cell adhesion. We found the hub genes, which were on the center of rewired pathways, were highly mutually consistent among the five datasets. The combinatory list of 92 hub genes was generally multi-functional, suggesting their complex and dynamic roles in SCZ pathophysiology. In our constructed pathway crosstalk network, we found “Clostridium neurotoxicity” and “signaling events mediated by focal adhesion kinase” had the highest interactions. We further identified disconnected gene links underlying the disrupted pathway crosstalk. Among them, four gene pairs (PAK1:SYT1, PAK1:RFC5, DCTN1:STX1A, and GRIA1:MAP2K4) were normally correlated in universal contexts. In summary, we systematically identified rewired pathways, disrupted pathway crosstalk circuits, and critical genes and gene links in schizophrenia transcriptomes.


2021 ◽  
pp. 000313482110233
Author(s):  
Shinho T. Kang ◽  
Ryan Moran ◽  
Lala Hussain ◽  
Hamza Guend ◽  
Erik M. Dunki-Jacobs ◽  
...  

Treatment of metastatic colon cancer has evolved over time. More evidence has been emerging in recent years supporting metastasectomy in selected patients. We sought to elucidate whether the type of institution—community, comprehensive community, academic/research, and integrated cancer network—would have an effect on patient outcome, specifically those colon cancer patients with isolated liver metastasis. This retrospective cohort study queried the National Cancer Database (NCDB) from 2010 to 2014 for patients who were 18 years of age or older with stage IVA colon cancer with isolated liver metastasis. We then performed uni- and multivariate analyses comparing patients based on such factors as age, tumor characteristics, primary tumor location, rate of chemotherapy, and type of treating institution. Patients who came from regions of higher income, receiving chemotherapy, and presenting to an academic/research hospital were more likely to undergo metastasectomy. Median survival was longest at academic/community hospitals at 22.4 months, 6 to 7 months longer than the other three types of institutions. Factors positively affecting survival included receiving chemotherapy, presenting to an academic/research institution, and undergoing metastasectomy, all at P < .05. In our study, the rate of metastasectomy was more than double at academic/research institutions for those with stage IVA colon cancer with isolated liver metastasis. Prior studies have quoted a mere 4.1% synchronous colon resection and metastasectomy. Our findings suggest that we should maintain multidisciplinary approach to this complex disease process and that perhaps it is time for us to consider regionalization of care in treating metastatic colon cancer.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
E Soltanmohammadi ◽  
Y Zhang ◽  
I Chatzistamou ◽  
H. Kiaris

Abstract Background Genes that belong to the same network are frequently co-expressed, but collectively, how the coordination of the whole transcriptome is perturbed during aging remains unclear. To explore this, we calculated the correlation of each gene in the transcriptome with every other, in the brain of young and older outbred deer mice (P. leucopus and P. maniculatus). Results In about 25 % of the genes, coordination was inversed during aging. Gene Ontology analysis in both species, for the genes that exhibited inverse transcriptomic coordination during aging pointed to alterations in the perception of smell, a known impairment occurring during aging. In P. leucopus, alterations in genes related to cholesterol metabolism were also identified. Among the genes that exhibited the most pronounced inversion in their coordination profiles during aging was THBS4, that encodes for thrombospondin-4, a protein that was recently identified as rejuvenation factor in mice. Relatively to its breadth, abolishment of coordination was more prominent in the long-living P. leucopus than in P. maniculatus but in the latter, the intensity of de-coordination was higher. Conclusions There sults suggest that aging is associated with more stringent retention of expression profiles for some genes and more abrupt changes in others, while more subtle but widespread changes in gene expression appear protective. Our findings shed light in the mode of the transcriptional changes occurring in the brain during aging and suggest that strategies aiming to broader but more modest changes in gene expression may be preferrable to correct aging-associated deregulation in gene expression.


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