gRbase (version 1.7-5)

Nutrimouse: The Nutrimouse Dataset

Description

The data come from a study of the effects of five dietary regimens with different fatty acid compositions on liver lipids and hepatic gene expression in 40 mice.

Usage

data(Nutrimouse)

Format

A data frame with 40 observations on the following 143 variables.

genotype

a factor with levels wt ppar

diet

a factor with levels coc fish lin ref sun

X36b4

a numeric vector

ACAT1

a numeric vector

ACAT2

a numeric vector

ACBP

a numeric vector

ACC1

a numeric vector

ACC2

a numeric vector

ACOTH

a numeric vector

ADISP

a numeric vector

ADSS1

a numeric vector

ALDH3

a numeric vector

AM2R

a numeric vector

AOX

a numeric vector

BACT

a numeric vector

BIEN

a numeric vector

BSEP

a numeric vector

Bcl.3

a numeric vector

C16SR

a numeric vector

CACP

a numeric vector

CAR1

a numeric vector

CBS

a numeric vector

CIDEA

a numeric vector

COX1

a numeric vector

COX2

a numeric vector

CPT2

a numeric vector

CYP24

a numeric vector

CYP26

a numeric vector

CYP27a1

a numeric vector

CYP27b1

a numeric vector

CYP2b10

a numeric vector

CYP2b13

a numeric vector

CYP2c29

a numeric vector

CYP3A11

a numeric vector

CYP4A10

a numeric vector

CYP4A14

a numeric vector

CYP7a

a numeric vector

CYP8b1

a numeric vector

FAS

a numeric vector

FAT

a numeric vector

FDFT

a numeric vector

FXR

a numeric vector

G6PDH

a numeric vector

G6Pase

a numeric vector

GK

a numeric vector

GS

a numeric vector

GSTa

a numeric vector

GSTmu

a numeric vector

GSTpi2

a numeric vector

HMGCoAred

a numeric vector

HPNCL

a numeric vector

IL.2

a numeric vector

L.FABP

a numeric vector

LCE

a numeric vector

LDLr

a numeric vector

LPK

a numeric vector

LPL

a numeric vector

LXRa

a numeric vector

LXRb

a numeric vector

Lpin

a numeric vector

Lpin1

a numeric vector

Lpin2

a numeric vector

Lpin3

a numeric vector

M.CPT1

a numeric vector

MCAD

a numeric vector

MDR1

a numeric vector

MDR2

a numeric vector

MRP6

a numeric vector

MS

a numeric vector

MTHFR

a numeric vector

NGFiB

a numeric vector

NURR1

a numeric vector

Ntcp

a numeric vector

OCTN2

a numeric vector

PAL

a numeric vector

PDK4

a numeric vector

PECI

a numeric vector

PLTP

a numeric vector

PMDCI

a numeric vector

PON

a numeric vector

PPARa

a numeric vector

PPARd

a numeric vector

PPARg

a numeric vector

PXR

a numeric vector

Pex11a

a numeric vector

RARa

a numeric vector

RARb2

a numeric vector

RXRa

a numeric vector

RXRb2

a numeric vector

RXRg1

a numeric vector

S14

a numeric vector

SHP1

a numeric vector

SIAT4c

a numeric vector

SPI1.1

a numeric vector

SR.BI

a numeric vector

THB

a numeric vector

THIOL

a numeric vector

TRa

a numeric vector

TRb

a numeric vector

Tpalpha

a numeric vector

Tpbeta

a numeric vector

UCP2

a numeric vector

UCP3

a numeric vector

VDR

a numeric vector

VLDLr

a numeric vector

Waf1

a numeric vector

ap2

a numeric vector

apoA.I

a numeric vector

apoB

a numeric vector

apoC3

a numeric vector

apoE

a numeric vector

c.fos

a numeric vector

cHMGCoAS

a numeric vector

cMOAT

a numeric vector

eif2g

a numeric vector

hABC1

a numeric vector

i.BABP

a numeric vector

i.BAT

a numeric vector

i.FABP

a numeric vector

i.NOS

a numeric vector

mABC1

a numeric vector

mHMGCoAS

a numeric vector

C14.0

a numeric vector

C16.0

a numeric vector

C18.0

a numeric vector

C16.1n.9

a numeric vector

C16.1n.7

a numeric vector

C18.1n.9

a numeric vector

C18.1n.7

a numeric vector

C20.1n.9

a numeric vector

C20.3n.9

a numeric vector

C18.2n.6

a numeric vector

C18.3n.6

a numeric vector

C20.2n.6

a numeric vector

C20.3n.6

a numeric vector

C20.4n.6

a numeric vector

C22.4n.6

a numeric vector

C22.5n.6

a numeric vector

C18.3n.3

a numeric vector

C20.3n.3

a numeric vector

C20.5n.3

a numeric vector

C22.5n.3

a numeric vector

C22.6n.3

a numeric vector

Source

The data were provided by Pascal Martin from the Toxicology and Pharmacology Laboratory, National Institute for Agronomic Research, French.

Details

The data come from a study of the effects of five dietary regimens with different fatty acid compositions on liver lipids and hepatic gene expression in wild-type and PPAR-alpha-deficient mice (Martin et al., 2007). There were 5 replicates per genotype and diet combination.

There are two design variables: (i) genotype, a factor with two levels: wild-type (wt) and PPAR-alpha-deficient (ppar), and (ii) diet, a factor with five levels. The oils used for experimental diet preparation were: corn and colza oils (50/50) for a reference diet (ref); hydrogenated coconut oil for a saturated fatty acid diet (coc); sunflower oil for an Omega6 fatty acid-rich diet (sun); linseed oil for an Omega3-rich diet (lin); and corn/colza/enriched (43/43/14) fish oils (fish).

There are 141 response variables: (i) the log-expression levels of 120 genes measured in liver cells, and (ii) the concentrations (in percentages) of 21 hepatic fatty acids measured by gas chromatography.

References

Martin, P. G. P., Guillou, H., Lasserre, F., Djean, S., Lan, A., Pascussi, J.-M., San Cristobal, M., Legrand, P., Besse, P. and Pineau, T. (2007). Novel aspects of PPARa-mediated regulation of lipid and xenobiotic metabolism revealed through a multrigenomic study. Hepatology 54, 767-777.

Examples

data(Nutrimouse)