Literature DB >> 26217730

Data for proteomic analysis of murine cardiomyocytic HL-1 cells treated with siRNA against tissue factor.

Maura Brioschi1, Sabrina Lento1, Simona Barcella1, Md Talat Nasim2, Stefania Ghilardi1, Silvia Stella Barbieri3, Elena Tremoli4, Cristina Banfi1.   

Abstract

This data article is related to the research article entitled Proteomics of Tissue Factor silencing in cardiomyocytic cells reveals a new role for this coagulation factor in splicing machinery control by Lento et al. [1]. Tissue Factor (TF) is a key player in the coagulation cascade, but it has additional functions ranging from angiogenesis, tumour invasion and, in the heart, the maintenance of the integrity of cardiac cells. This article reports the nano-LC-MS(E) analysis of the cardiomyocytic HL-1 cell line proteome and describes the results obtained from a Gene Ontology analysis of those proteins affected by TF-gene silencing.

Entities:  

Year:  2015        PMID: 26217730      PMCID: PMC4510070          DOI: 10.1016/j.dib.2015.02.005

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table

Value of the data

370 proteins were identified in the cardiomyocytic HL-1 cell line proteome. The data are valuable for the understanding of the protein composition if cardiomyocytes and could be reused by other scientists investigating these cells under various conditions. Computational analysis of differentially expressed proteins following TF gene silencing revealed a novel role of this coagulation factor in the regulation of splicing machinery.

Data, experimental design, materials and methods

Cardiomyocitic HL-1 cells were treated with siRNA against TF which resulted a 83.7±5.6% reduction of TF mRNA levels in comparison with cells treated with a non-silencing oligonucleotide sequence. Cell lysates were digested with trypsin and their proteome were compared by a label free nano-LC–MSE analysis which allowed both a qualitative and quantitative analysis of 370 proteins (Supplementary Table 1). Differentially expressed proteins were further investigated with computational analysis for the identification of over-represented GO categories (Supplementary Table 2).

Cell cultures, RNA interference and cell transfection

The HL-1 cardiomyocytes, gift of Prof. Claycomb (LSU Health Sciences Center, New Orleans, LA, USA), were cultured according to Prof. Claycomb׳s instructions [2]. Gene silencing was performed using small interfering RNAs (siRNA) against TF or a nonsilencing oligonucleotide sequence provided by Qiagen Inc. following the manufacturer׳s instructions as described in [1].

Label-free LC–MSE analysis

The cell lysates, dissolved in 25 mmol/L NH4HCO3 containing 0.1% RapiGest (Waters Corporation, Milford, MA, USA) were digested as previously described [3]. The tryptic peptides were analysed by means of a nanoACQUITY system coupled to a SYNAPT-MS, a hybrid Q-TOF mass spectrometer (Waters Corporation, Milford, MA, USA), for the LC–MSE analysis as previously described [4]. ProteinLynx GlobalSERVER (PLGS) v 2.3 (Waters Corporation, Milford, MA, USA)was used foriIon detection, data clustering, and database search of the data-independent LC–MSE data as previously explained in detail [1,5,6]. The entire data set of differentially expressed proteins was further filtered by considering only the identifications from data with identified peptides that replicated at least two out of three technical instrument replicates and in two out of three biological replicates [1].

Computational analysis

The list of proteins down-regulated by TF-silencing were further analysed with the BiNGO plugin (v 2.3) in the Cytoscape (v 2.7) software platform in order to make gene ontology (GO) assignments and identify over-represented GO categories for cell component and biological, as previously described [3]. Statistical analysis was obtained using the hypergeometric analysis followed by Benjamini and Hochberg׳s false discovery rate correction (p<0.001) [7].
Subject areaBiology
More specific subject areaCellular proteomics
Type of dataExcel files
How data was acquiredExperiments were performed on the hybrid quadrupole-time of flight mass spectrometer SYNAPT-G1 (Waters corporation, Milford, MA, USA) coupled to the nanoAQUITY UPLC system (Waters corporation, Milford, MA, USA)
Data formatProcessed data
Experimental factorsCardiomyocytic HL-1 cells were treated with TF siRNA or a non-silencing oligonucleotide sequence
Experimental featuresCell lysates were digested with trypsin and analysed by nano-LC–MSE and processed with PLGS 2.3 (Waters corporation, Milford, MA, USA)
Data source locationMilan, Italy
Data accessibilityData are provided with this article and are related to[1]
  7 in total

Review 1.  Cardiac physiology at the cellular level: use of cultured HL-1 cardiomyocytes for studies of cardiac muscle cell structure and function.

Authors:  Steven M White; Phillip E Constantin; William C Claycomb
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-03       Impact factor: 4.733

2.  BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks.

Authors:  Steven Maere; Karel Heymans; Martin Kuiper
Journal:  Bioinformatics       Date:  2005-06-21       Impact factor: 6.937

3.  Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures.

Authors:  Guo-Zhong Li; Johannes P C Vissers; Jeffrey C Silva; Dan Golick; Marc V Gorenstein; Scott J Geromanos
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

4.  Proteomic analysis of endothelial cell secretome: a means of studying the pleiotropic effects of Hmg-CoA reductase inhibitors.

Authors:  Maura Brioschi; Sabrina Lento; Elena Tremoli; Cristina Banfi
Journal:  J Proteomics       Date:  2012-10-17       Impact factor: 4.044

5.  A mass spectrometry-based workflow for the proteomic analysis of in vitro cultured cell subsets isolated by means of laser capture microdissection.

Authors:  Maura Brioschi; Sonia Eligini; Mauro Crisci; Susanna Fiorelli; Elena Tremoli; Susanna Colli; Cristina Banfi
Journal:  Anal Bioanal Chem       Date:  2014-03-16       Impact factor: 4.142

6.  The detection, correlation, and comparison of peptide precursor and product ions from data independent LC-MS with data dependant LC-MS/MS.

Authors:  Scott J Geromanos; Johannes P C Vissers; Jeffrey C Silva; Craig A Dorschel; Guo-Zhong Li; Marc V Gorenstein; Robert H Bateman; James I Langridge
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

7.  Proteomics of tissue factor silencing in cardiomyocytic cells reveals a new role for this coagulation factor in splicing machinery control.

Authors:  Sabrina Lento; Maura Brioschi; Simona Barcella; Md Talat Nasim; Stefania Ghilardi; Silvia Stella Barbieri; Elena Tremoli; Cristina Banfi
Journal:  J Proteomics       Date:  2015-02-08       Impact factor: 4.044

  7 in total

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