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Series GSE6256 Query DataSets for GSE6256
Status Public on Sep 12, 2007
Title Identification of genes involved in macrophage activation and effector functions against Listeria monocytogenes.
Organism Mus musculus
Experiment type Expression profiling by array
Summary Listeria monocytogenes (LM) is a Gram-positive, facultative intracellular bacterium responsible for disseminated infections in immunocompromised individuals which can result in septicaemia and meningitis (1). Effective control of listeriosis requires both innate and adaptive immune responses with the principal mediators of bacterial killing being neutrophils and macrophages (2). Key cytokines driving the innate immune response are IFN-γ (3) and TNF (4), which promote macrophage activation and drive the production of anti-microbial mediators such as reactive oxygen intermediates (ROI) and reactive nitrogen intermediates (RNI). Several studies using gene deficient mice demonstrated that ROI and RNI are required for optimal pathogen killing (5-8), but that macrophages also utilise an alternative, unknown mechanism besides ROI and RNI to efficiently control bacterial infection. Mice deficient for the transcription factor NF-IL6 are highly susceptible to a number of intracellular bacterial and fungal infections, including LM (9-12). NF-IL6-deficient mice infected with LM were unable to prevent bacterial dissemination, despite production of nitric oxide (NO), IFN-γ and TNF being equivalent to WT controls (12). From these results, we hypothesized that NF-IL6 acts downstream from IFN-γ and TNF during the activation of macrophage effector functions against LM (2). To facilitate the identification of putative effector genes in this unknown pathway, we compared gene expression profiles of WT and NF-IL6 deficient LM-infected macrophages by differential microarray.

REFERENCES
1. Gellin, B. G. & Broome, C. V. (1989) Jama 261, 1313-1320.
2. Brombacher, F. & Kopf, M. (1996) Res Immunol 147, 505-511.
3. Buchmeier, N. A. & Schreiber, R. D. (1985) Proc Natl Acad Sci U S A 82, 7404-7408.
4. Havell, E. A. (1989) J Immunol 143, 2894-2899.
5. Dinauer, M. C., Deck, M. B., & Unanue, E. R. (1997) J Immunol 158, 5581-5583.
6. Endres, R., Luz, A., Schulze, H., Neubauer, H., Futterer, A., Holland, S. M., Wagner, H., & Pfeffer, K. (1997) Immunity 7, 419-432.
7. MacMicking, J. D., Nathan, C., Hom, G., Chartrain, N., Fletcher, D. S., Trumbauer, M., Stevens, K., Xie, Q. W., Sokol, K., Hutchinson, N., et al. (1995) Cell 81, 641-650.
8. Shiloh, M. U., MacMicking, J. D., Nicholson, S., Brause, J. E., Potter, S., Marino, M., Fang, F., Dinauer, M., & Nathan, C. (1999) Immunity 10, 29-38.
9. Pizarro-Cerda, J., Desjardins, M., Moreno, E., Akira, S., & Gorvel, J. P. (1999) J Immunol 162, 3519-3526.
10. Screpanti, I., Romani, L., Musiani, P., Modesti, A., Fattori, E., Lazzaro, D., Sellitto, C., Scarpa, S., Bellavia, D., Lattanzio, G., et al. (1995) Embo J 14, 1932-1941.
11. Sugawara, I., Mizuno, S., Yamada, H., Matsumoto, M., & Akira, S. (2001) Am J Pathol 158, 361-366.
12. Tanaka, T., Akira, S., Yoshida, K., Umemoto, M., Yoneda, Y., Shirafuji, N., Fujiwara, H., Suematsu, S., Yoshida, N., & Kishimoto, T. (1995) Cell 80, 353-361.
Keywords: bone marrow derived macrophages, interferon-gamma, macrophage activation, macrophage effector activity, NF-IL6, gene-deficient mouse model, Listeria monocytogenes, intracellular pathogen
 
Overall design A 2 x 2 factorial experimental design was used to compare the gene expression patterns of bone marrow derived macrophages from WT and NF-IL6-/- mice that were untreated or were simultaneously activated with IFN-γ and infected with L. monocytogenes ("LM + IFN-γ"). Total RNA was isolated from untreated and "LM + IFN-γ" samples at 4 hours post-infection from 4 repeat infection experiments using TriReagent (Molecular Research Company, Cincinnati, USA). The total RNA was DNAseI treated and cleaned up using the RNeasy Mini Kit (Qiagen, Valencia, CA, USA) as per the manufacturer’s instructions. The mRNA was linearly amplified and labelled using the Amino Allyl MessageAmp™ II CyDye aRNA Amplification (Ambion, Austin, Texas, USA) as per the manufacturer’s instructions. The labelled cDNA was purified and hybridized to Mouse Exonic Evidence Based Oligonucleotide (Illumina, San Diego, CA, USA) microarrays printed at the Capar Microarray Facility (University of Cape Town, South Africa). For each infection experiment, labelled probes from the untreated and "LM + IFN-γ" samples for the same mouse group was hybridized to the same microarray. Image and data analysis was done using Limma (46) and TIGR MeV (47). Data was normalized using print-tip loess and quantile normalization. DE genes were identified using a paired t-test with unequal variance, pairing the relative gene expression ratio of "LM + IFN-γ" vs. untreated macrophages from WT and NF-IL6-/- from the same experiment. Top 10% of genes with the smallest p-values were selected further analysis (Table 2) and were functionally clustered.

Due to budget limitations, biological replicates were done instead of technical repeats and a “balanced dye” approach used instead of dye-swaps to compensate for dye-labelling bias. “Dye balance” in this context specifies that each condition is measured equally often with the Cy3 dye as with the Cy5 dye. Therefore, the "LM + IFN-γ" samples for each biological repeat was labelled with the opposite Cy-dye than in the previous biological repeat. Table 1 lists the "dye balance" labelling and hybridization reactions.The same principle was applied to “untreated” controls. There were 4 biological repeat experiments which were analysed over 8 individual arrays. None of the samples from the biological repeat experiments were pooled. Each biological infection experiment was performed independently of each other.
 
Contributor(s) Schwegmann A, Guler R, Cutler AJ, Arendse B, Seioghe C, Horsnell WG, Flemming A, Leitges M, Kottmann AH, Ryan G, Hide W, Brombacher F
Citation(s) 17913887
Submission date Nov 09, 2006
Last update date Mar 16, 2012
Contact name Anita R Schwegmann
E-mail(s) SCHANI002@uct.ac.za
Phone 27214066035
Fax 27214066029
Organization name Institute for Infectious Diseases and Molecular Medicine, University of Cape Town
Department Division of Infectious Immunology
Lab S1.21
Street address Institute for Infectious Diseases and Molecular Medicine, UCT medical School, Anzio Rd, Observatory
City Cape Town
State/province Western Cape
ZIP/Postal code 7925
Country South Africa
 
Platforms (1)
GPL4517 UCT Brombacher lab Mus MEEBO 40K version1
Samples (8)
GSM143886 BMDM NF-IL6 KO1
GSM143893 BMDM NF-IL6 KO2
GSM143895 BMDM NF-IL6 KO3
Relations
BioProject PRJNA99689

Table 1. RNA samples, treatments, labelling, and microarrays. header descriptions
Biological experiment
Sample label Sample name
Treatment "+" refers to BMDMs simultaneously stimulated with IFN-gamma and infected with L. monocytogenes at a MOI of 10 bacilli:1 macrophage; "-" refers to untreated media controls
Cy-dye label Cy5 (red) or Cy3 (green) fluorescent dyes
Slide barcode # Hybridization to Slide with unique barcode #

Data table
Biological experiment Sample label Treatment Cy-dye label Slide barcode #
1 KO1treated + Cy3 12301884
1 KO1untreated - Cy5 12301884
1 WT1treated + Cy5 12301864
1 WT1untreated - Cy3 12301864
2 KO2treated + Cy5 12301883
2 KO2untreated - Cy3 12301883
2 WT2treated + Cy3 12301862
2 WT2untreated - Cy5 12301862
3 KO3treated + Cy3 12301878
3 KO3untreated - Cy5 12301878
3 WT3treated + Cy5 12301881
3 WT3untreated - Cy3 12301881
4 KO4treated + Cy5 12301882
4 KO4untreated - Cy3 12301882
4 WT4treated + Cy3 12301856
4 WT4untreated - Cy5 12301856

Total number of rows: 16


Table 2. Candidate genes used for further study header descriptions
ID_REF unique identifier for each feature on the array
GAL ID the Genbank accession ID number used in the GenePix gal file
GAL NAME the gene symbol used in the GenePix gal file
VALUE_WT1 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143897
VALUE_WT2 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143901
VALUE_WT3 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143905
VALUE_WT4 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143912
VALUE_KO1 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143886
VALUE_KO2 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143893
VALUE_KO3 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143895
VALUE_KO4 log base 2 transformed normalized gene expression ratio representing treated vs. untreated for biological experiment GSM143896
WT_AVE the average (arithmetic mean) of log base 2 transformed normalized gene expression ratio representing treated vs. untreated for all WT biological experiments (i.e. GSM143897, GSM143901, GSM143905, GSM143912)
KO_AVE the average (arithmetic mean) of log base 2 transformed normalized gene expression ratio representing treated vs. untreated for all NF-IL6 KO biological experiments (i.e. GSM143886, GSM143893, GSM143895, GSM143896)
WT_STD_DEV the standard deviation of log base 2 transformed normalized gene expression ratio representing treated vs. untreated for all WT biological experiments (i.e. GSM143897, GSM143901, GSM143905, GSM143912)
KO_STD_DEV the standard deviation of log base 2 transformed normalized gene expression ratio representing treated vs. untreated for all NF-IL6 KO biological experiments (i.e. GSM143886, GSM143893, GSM143895, GSM143896)
P-VALUE p-value calculated using a paired, 2-tailed t-test comparing the WT and KO gene expression values within each biological experiment = i.e. biological experiment 1 compares GSM143886 vs. GSM143897; biological experiment 2 compares GSM143893 vs. GSM143901; biological experiment 3 compares GSM143895 vs. GSM143905; biological experiment 4 compares GSM143896 vs. GSM143912.

Data table
ID_REF GAL ID GAL NAME VALUE_WT1 VALUE_WT2 VALUE_WT3 VALUE_WT4 VALUE_KO1 VALUE_KO2 VALUE_KO3 VALUE_KO4 WT_AVE KO_AVE WT_STD_DEV KO_STD_DEV P-VALUE
35128 NM_007481 Arf6 0.310040272 0.739252637 0.217279173 0.323325606 -0.188553886 0.271326796 -0.329435025 -0.10226425 0.397474422 -0.087231591 0.232683944 0.256722164 0.00031862
6777 XM_181420 Cgref1 -0.070646913 -0.465147199 -0.651024714 -0.219467659 0.41327565 0.163810338 -0.089381729 0.341450351 -0.351571621 0.207288652 0.257514864 0.223855373 0.000325648
21857 NM_033039 Ocm 0.537340952 0.081360597 0.666951749 0.189178591 -0.114054793 -0.596046091 -0.153181026 -0.465455179 0.368707972 -0.332184272 0.278200015 0.235942666 0.000410185
7691 NM_172756 8430438L13Rik -0.021361551 -0.181727353 -0.107690097 0.005460699 0.309547729 0.162624348 0.183376484 0.391071083 -0.076329576 0.261654911 0.08525121 0.10797659 0.000418115
28515 NM_177172 A830054O04Rik 0.18701224 0.140687136 -0.311353793 0.120977683 -0.102985149 -0.122237366 -0.64250144 -0.216934947 0.034330816 -0.271164725 0.232112625 0.252517691 0.000424111
16156 NM_053095 Il24 0.13146838 -0.25340953 -0.102529233 0.087004186 0.312324544 -0.019502023 0.110884253 0.265662529 -0.034366549 0.167342326 0.177818314 0.151421081 0.000629952
32004 NM_152808 1110028E10Rik -0.252950328 -0.4680047 -0.006518839 -0.357760589 0.019472654 -0.102412204 0.284792428 -0.011716745 -0.271308614 0.047534033 0.197158097 0.166406646 0.000717725
2293 NM_177772 Bpil2 -0.012398262 0.511208512 0.112228913 0.355568536 -0.289572022 0.172041722 -0.263872401 0.061642358 0.241651925 -0.079940086 0.235888082 0.231888669 0.000731959
32189 NM_025519 2310010I16Rik 0.488920931 0.171440305 0.345407379 0.483840477 0.035416023 -0.247402072 -0.109938365 0.152391125 0.372402273 -0.042383322 0.149565491 0.173768232 0.000742125
34747 NM_207576 Olfr1514 0.202299674 0.680054912 0.32005148 0.72966597 -0.311673678 0.193973674 -0.059720776 0.202373166 0.483018009 0.006238097 0.261418968 0.244357717 0.000748697
23449 NM_021398 Slc43a3 0.125817405 0.001818899 -0.266108193 -0.13272901 0.261334879 0.114920576 -0.167679802 -0.027285103 -0.067800225 0.045322637 0.169190629 0.184523788 0.000778642
23983 NM_021326 Rbak -0.54156589 -0.637334284 -0.438403499 -0.692353306 -0.243081265 -0.217495279 -0.016747727 -0.308145149 -0.577414245 -0.196367355 0.111669887 0.125679572 0.000936707
14665 2700071J12Rik ENDASDF 0.003218732 -0.05526845 0.068392131 -0.148880083 0.279691328 0.246934312 0.312551853 0.210051758 -0.033134417 0.262307313 0.092224664 0.043945762 0.001192972
7390 ENDASDF unknown 0.108609859 0.154099412 -0.041987738 0.029354545 0.285079341 0.380593073 0.108433238 0.22191983 0.06251902 0.249006371 0.086665792 0.114179399 0.001335028
12368 NM_198090 XM_359263 2610510D13Rik -0.221918003 0.137014848 -0.100412172 -0.297582604 0.015478973 0.384567546 0.189837776 -0.109007598 -0.120724482 0.120219174 0.190053568 0.21466426 0.001396597
10667 NM_146236 Tceal1 0.363439233 0.344873905 0.351792466 0.361177644 0.008633214 0.110632814 0.051542174 0.096195528 0.355320812 0.066750932 0.008598417 0.04619372 0.001544287
14891 NM_009282 Stag1 -0.380526046 -0.464326704 0.025636727 -0.162897251 0.205300737 -0.022016093 0.470725002 0.220543602 -0.245528318 0.218638312 0.220949085 0.201365144 0.001697371
24722 ENDASDF unknown -0.290498414 -0.300488643 -0.031576661 -0.297283456 0.041942536 -0.049352149 0.275552376 0.101136462 -0.229961793 0.092319807 0.132322316 0.136943687 0.001817441
37993 ENDASDF unknown -0.110329324 0.23953886 0.089806327 0.39999456 -0.257431602 0.065465967 -0.136051461 0.240869807 0.154752606 -0.021786822 0.217423376 0.219989715 0.002019426
25615 NM_027351 Ppil3 -0.201352952 0.06892788 -0.21247895 -0.06731116 -0.074933989 0.246306286 -0.04630969 0.051491609 -0.103053795 0.044138554 0.132277261 0.145241196 0.002020055

Total number of rows: 1088

Table truncated, full table size 195 Kbytes.




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