Evidence map›Paper›PMID 28587645›Full record

ArticleBMC veterinary research2017

Transcriptome profiling of Staphylococci-infected cow mammary gland parenchyma.

Ewa M Kosciuczuk, Paweł Lisowski, Justyna Jarczak, Alicja Majewska, Magdalena Rzewuska, Lech Zwierzchowski, Emilia Bagnicka

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 52 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Ewa M KosciuczukDepartment of Animal Improvement, Institute of Genetics and Animal Breeding Polish Academy of Sciences, 36a Postepu str., Jastrzebiec, 05-552, Poland.
Paweł LisowskiDepartment of Animal Improvement, Institute of Genetics and Animal Breeding Polish Academy of Sciences, 36a Postepu str., Jastrzebiec, 05-552, Poland.
Justyna JarczakDepartment of Animal Improvement, Institute of Genetics and Animal Breeding Polish Academy of Sciences, 36a Postepu str., Jastrzebiec, 05-552, Poland.
Alicja MajewskaDepartment of Physiological Sciences, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, 02-776, Warsaw, Poland.
Magdalena RzewuskaDepartment of Pre-Clinical Sciences, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, 02-776, Warsaw, Poland.
Lech ZwierzchowskiDepartment of Animal Improvement, Institute of Genetics and Animal Breeding Polish Academy of Sciences, 36a Postepu str., Jastrzebiec, 05-552, Poland.
Emilia BagnickaDepartment of Animal Improvement, Institute of Genetics and Animal Breeding Polish Academy of Sciences, 36a Postepu str., Jastrzebiec, 05-552, Poland. e.bagnicka@ighz.pl.ORCID http://orcid.org/0000-0001-7193-2006
Polish Academy of Sciences · PLWarsaw University of Life Sciences · PLRobert H. Lurie Comprehensive Cancer Center of Northwestern University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide gene expression profiling allows for identification of genes involved in the defense response of the host against pathogens. As presented here, transcriptomic analysis and bioinformatics tools were applied in order to identify genes expressed in the mammary gland parenchyma of cows naturally infected with coagulase-positive and coagulase-negative Staphylococci.

resultsIn cows infected with coagulase-positive Staphylococci, being in 1st or 2nd lactation, 1700 differentially expressed genes (DEGs) were identified. However, examination of the 3rd or 4th lactations revealed 2200 DEGs. Gene ontology functional classification showed the molecular functions of the DEGs overrepresented the activity of cytokines, chemokines, and their receptors. In cows infected with coagulase-negative Staphylococci, in the 1st or 2nd lactations 418 DEGs, while in the 3rd or 4th lactations, 1200 DEGs were identified that involved in molecular functions such as protein, calcium ion and lipid binding, chemokine activity, and protein homodimerization. Gene network analysis showed DEGs associated with inflammation, cell migration, and immune response to infection, development of cells and tissues, and humoral responses to infections caused by both types of Staphylococci.

conclusionA coagulase-positive Staphylococci infection caused a markedly stronger host response than that of coagulase-negative, resulting in vastly increased DEGs. A significant increase in the expression of the FOS, TNF, and genes encoding the major histocompatibility complex proteins (MHC) was observed. It suggests these genes play a key role in the synchronization of the immune response of the cow's parenchyma against mastitis-causing bacteria. Moreover, the following genes that belong to several physiological pathways (KEGG pathways) were selected for further studies as candidate genes of mammary gland immune response for use in Marker Assisted Selection (MAS): chemokine signaling pathway (CCL2, CXCL5, HCK, CCR1), cell adhesion molecules (CAMs) pathway (BOLA-DQA2, BOLA-DQA1, F11R, ITGAL, CD86), antigen processing and presentation pathway (CD8A, PDIA3, LGMN, IFI30, HSPA1A), and NOD-like receptor signaling pathway (TNF, IL8, IL18, NFKBIA).

Indexed as

AnimalsCattleCoagulaseDatabases, GeneticFemaleGene Expression ProfilingMammary Glands, AnimalMastitis, BovineMultigene FamilyParenchymal TissueReal-Time Polymerase Chain ReactionStaphylococcal InfectionsStaphylococcusCoagulaseChronic mastitisDairy cowsGene expression profilingmicroarrayqPCRTranscriptomicsUdder parenchyma

Identifiers

PMID28587645
PMCPMC5477815
OpenAlexW2624275700

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.