The Secretory Granule Protein Syncollin Localizes to HL-60 Cells and Neutrophils

Bach, Jan-Philipp; Borta, Heike; Ackermann, Waltraud; Faust, Floriane; Borchers, Oliver; Schrader, Michael

doi:10.1369/jhc.5a6792.2006

Cited by 12 publications

(14 citation statements)

References 32 publications

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“…2). Role of these correlated proteins in the immune system has already been characterized in different species35363738394041. Several studies have also reported correlated expression of several immune related protein-coding genes with a single lncRNA13.…”

Section: Resultsmentioning

confidence: 96%

Differential expression of long non-coding RNAs in three genetic lines of rainbow trout in response to infection with Flavobacterium psychrophilum

Paneru

Al-Tobasei

Palti

et al. 2016

Sci Rep

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Bacterial cold-water disease caused by Flavobacterium psychrophilum is one of the major causes of mortality of salmonids. Three genetic lines of rainbow trout designated as ARS-Fp-R (resistant), ARS-Fp-C (control) and ARS-Fp-S (susceptible) have significant differences in survival rate following F. psychrophilum infection. Previous study identified transcriptome differences of immune-relevant protein-coding genes at basal and post infection levels among these genetic lines. Using RNA-Seq approach, we quantified differentially expressed (DE) long non-coding RNAs (lncRNAs) in response to F. psychrophilum challenge in these genetic lines. Pairwise comparison between genetic lines and different infection statuses identified 556 DE lncRNAs. A positive correlation existed between the number of the differentially regulated lncRNAs and that of the protein-coding genes. Several lncRNAs showed strong positive and negative expression correlation with their overlapped, neighboring and distant immune related protein-coding genes including complement components, cytokines, chemokines and several signaling molecules involved in immunity. The correlated expressions and genome-wide co-localization suggested that some lncRNAs may be involved in regulating immune-relevant protein-coding genes. This study provides the first evidence of lncRNA-mediated regulation of the anti-bacterial immune response in a commercially important aquaculture species and will likely help developing new genetic markers for rainbow trout disease resistance.

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Section: Resultsmentioning

confidence: 96%

Differential expression of long non-coding RNAs in three genetic lines of rainbow trout in response to infection with Flavobacterium psychrophilum

Paneru

Al-Tobasei

Palti

et al. 2016

Sci Rep

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“…Specifically, it is a zymogen granule protein found on the inner surface of the granule membrane with a role in the concentration and maturation of zymogens, as well as in the regulation of exocytosis [17,18]. A few recent studies have described its presence and function in granules in other tissue types [19]. Syncollin has been identified in a qualitative proteomic analysis of pancreatic juice from patients with pancreatic cancer, and was elevated in serum from a murine model of pancreatic cancer [20,21]; however to our knowledge, this is the first report of its study and extended validation through ELISAs in human serum.…”

Section: Discussionmentioning

confidence: 99%

Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9

et al. 2013

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BackgroundThe identification of new serum biomarkers with high sensitivity and specificity is an important priority in pancreatic cancer research. Through an extensive proteomics analysis of pancreatic cancer cell lines and pancreatic juice, we previously generated a list of candidate pancreatic cancer biomarkers. The present study details further validation of four of our previously identified candidates: regenerating islet-derived 1 beta (REG1B), syncollin (SYCN), anterior gradient homolog 2 protein (AGR2), and lysyl oxidase-like 2 (LOXL2).MethodsThe candidate biomarkers were validated using enzyme-linked immunosorbent assays in two sample sets of serum/plasma comprising a total of 432 samples (Sample Set A: pancreatic ductal adenocarcinoma (PDAC, n = 100), healthy (n = 92); Sample Set B: PDAC (n = 82), benign (n = 41), disease-free (n = 47), other cancers (n = 70)). Biomarker performance in distinguishing PDAC from each control group was assessed individually in the two sample sets. Subsequently, multiparametric modeling was applied to assess the ability of all possible two and three marker panels in distinguishing PDAC from disease-free controls. The models were generated using sample set B, and then validated in Sample Set A.ResultsIndividually, all markers were significantly elevated in PDAC compared to healthy controls in at least one sample set (p ≤ 0.01). SYCN, REG1B and AGR2 were also significantly elevated in PDAC compared to benign controls (p ≤ 0.01), and AGR2 was significantly elevated in PDAC compared to other cancers (p < 0.01). CA19.9 was also assessed. Individually, CA19.9 showed the greatest area under the curve (AUC) in receiver operating characteristic (ROC) analysis when compared to the tested candidates; however when analyzed in combination, three panels (CA19.9 + REG1B (AUC of 0.88), CA19.9 + SYCN + REG1B (AUC of 0.87) and CA19.9 + AGR2 + REG1B (AUC of 0.87)) showed an AUC that was significantly greater (p < 0.05) than that of CA19.9 alone (AUC of 0.82). In a comparison of early-stage (Stage I-II) PDAC to disease free controls, the combination of SYCN + REG1B + CA19.9 showed the greatest AUC in both sample sets, (AUC of 0.87 and 0.92 in Sets A and B, respectively).ConclusionsAdditional serum biomarkers, particularly SYCN and REG1B, when combined with CA19.9, show promise as improved diagnostic indicators of pancreatic cancer, which therefore warrants further validation.

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“…Several genes known to play a role in various inflammatory conditions were differentially modulated in our data set (Table 3 ). Such molecules include two elastase genes, Ela1 [ 67 ] and the neutrophil elastase Ela2 [ 68 ], known to play a role in peripheral tissues invaded by microbes [ 69 ], the Spp1 gene [ 70 ], and the secretory granule protein syncollin ( Sync ), expressed by neutrophils with a role in host defence to infections by invading bacteria, fungi, and protozoa [ 71 ]. Sync is also expressed in the exocrine pancreas and in the duodenum and colon [ 72 ].…”

Section: Discussionmentioning

confidence: 99%

Early over expression of messenger RNA for multiple genes, including insulin, in the Pancreatic Lymph Nodes of NOD mice is associated with Islet Autoimmunity

Regnault

Fortéa²,

Miao³

et al. 2009

BMC Med Genomics

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BackgroundAutoimmune diabetes (T1D) onset is preceded by a long inflammatory process directed against the insulin-secreting β cells of the pancreas. Deciphering the early autoimmune mechanisms represents a challenge due to the absence of clinical signs at early disease stages. The aim of this study was to identify genes implicated in the early steps of the autoimmune process, prior to inflammation, in T1D. We have previously established that insulin autoantibodies (E-IAA) predict early diabetes onset delineating an early phenotypic check point (window 1) in disease pathogenesis. We used this sub-phenotype and applied differential gene expression analysis in the pancreatic lymph nodes (PLN) of 5 weeks old Non Obese Diabetic (NOD) mice differing solely upon the presence or absence of E-IAA. Analysis of gene expression profiles has the potential to provide a global understanding of the disease and to generate novel hypothesis concerning the initiation of the autoimmune process.MethodsAnimals have been screened weekly for the presence of E-IAA between 3 and 5 weeks of age. E-IAA positive or negative NOD mice at least twice were selected and RNAs isolated from the PLN were used for microarray analysis. Comparison of transcriptional profiles between positive and negative animals and functional annotations of the resulting differentially expressed genes, using software together with manual literature data mining, have been performed.ResultsThe expression of 165 genes was modulated between E-IAA positive and negative PLN. In particular, genes coding for insulin and for proteins known to be implicated in tissue remodelling and Th1 immunity have been found to be highly differentially expressed. Forty one genes showed over 5 fold differences between the two sets of samples and 30 code for extracellular proteins. This class of proteins represents potential diagnostic markers and drug targets for T1D.ConclusionOur data strongly suggest that the immune related mechanisms taking place at this early age in the PLN, correlate with homeostatic changes influencing tissue integrity of the adjacent pancreatic tissue. Functional analysis of the identified genes suggested that similar mechanisms might be operating during pre-inflammatory processes deployed in tissues i) hosting parasitic microorganisms and ii) experiencing unrestricted invasion by tumour cells.

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The Secretory Granule Protein Syncollin Localizes to HL-60 Cells and Neutrophils

Cited by 12 publications

References 32 publications

Differential expression of long non-coding RNAs in three genetic lines of rainbow trout in response to infection with Flavobacterium psychrophilum

Differential expression of long non-coding RNAs in three genetic lines of rainbow trout in response to infection with Flavobacterium psychrophilum

Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9

Early over expression of messenger RNA for multiple genes, including insulin, in the Pancreatic Lymph Nodes of NOD mice is associated with Islet Autoimmunity

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