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pmid:26484127

Microarray profiling to analyse adult cardiac fibroblast identity.

Milena B Furtado · Hieu T Nim · Jodee A Gould · Mauro W Costa · Nadia A Rosenthal · Sarah E Boyd

Genomics data · 2014 doi:10.1016/j.gdata.2014.10.006

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:26484127
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science-record
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created_at
2026-11-01T15:40:11Z
updated_at
2026-11-01T22:42:21Z
generator object · 2 fields
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paper object · 10 fields
state
complete
title
Microarray profiling to analyse adult cardiac fibroblast identity.
doi
10.1016/j.gdata.2014.10.006
pmid
26484127
authors array · 6 items
[0]
Milena B Furtado
[1]
Hieu T Nim
[2]
Jodee A Gould
[3]
Mauro W Costa
[4]
Nadia A Rosenthal
[5]
Sarah E Boyd
journal
Genomics data
year
2014
abstract
Heart failure is one of the leading causes of death worldwide [1-4]. Current therapeutic strategies are inefficient and cannot cure this chronic and debilitating condition [5]. Ultimately, heart transplants are required for patient survival, but donor organs are scarce in availability and only prolong the life-span of patients for a limited time. Fibrosis is one of the main pathological features of heart failure [6,7], caused by inappropriate stimulation of fibroblasts and excessive extracellular matrix production. Therefore, an in-depth understanding of the cardiac fibroblast is essential to underpin effective therapeutic treatments for heart failure [5]. Fibroblasts in general have been an underappreciated cell type, regarded as relatively inert and providing only basic functionality; they are usually referred to as the 'biological glue' of all tissues in the body. However, more recent literature suggests that they actively participate in organ homeostasis and disease [7,8]. We have recently uncovered a unique molecular identity for fibroblasts isolated from the heart [9], expressing a set of cardiogenic transcription factors that have been previously associated with cardiomyocyte ontogenesis. This signature suggests that cardiac fibroblasts may be ideal for use in stem cell replacement therapies, as they may retain the memory of where they derive from embryologically. Our data also revealed that about 90% of fibroblasts from both tail and heart origins share a cell surface signature that has previously been described for mesenchymal stem cells (MSCs), raising the possibility that fibroblasts and MSCs may in fact be the same cell type. Thus, our findings carry profound implications for the field of regenerative medicine. Here, we describe detailed methodology and quality controls related to the gene expression profiling of cardiac fibroblasts, deposited at the Gene Expression Omnibus (GEO) under the accession number GSE50531. We also provide the R code to easily reproduce the data quantification and analysis processes.
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Differential analysis between cardiac fibroblast and tail fibroblast samples was performed using the Bioconductor limma package [11], which applies linear models and differential expression functions to the transcriptomic data.
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sections[9] "Data normalisation and analysis" paragraph 6
quote
Differential analysis between cardiac fibroblast and tail fibroblast samples was performed using the Bioconductor limma package [11], which applies linear models and differential expression functions to the transcriptomic data.
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Deposited data can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50531.
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sections[2] "Direct link to deposited data" paragraph 2
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Deposited data can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50531.
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The paper used the Bioconductor limma package for differential expression analysis, and the source data are available through GEO under accession number GSE50531.
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sections[9] "Data normalisation and analysis" paragraph 6
quote
Differential analysis between cardiac fibroblast and tail fibroblast samples was performed using the Bioconductor limma package [11], which applies linear models and differential expression functions to the transcriptomic data.
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sections[0] "Abstract" paragraph 2
quote
Here, we describe detailed methodology and quality controls related to the gene expression profiling of cardiac fibroblasts, deposited at the Gene Expression Omnibus (GEO) under the accession number GSE50531.
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The paper used the Bioconductor limma package for differential expression analysis, and the source data are available through GEO under accession number GSE50531.
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Cardiogenic genes expressed in cardiac fibroblasts contribute to heart development and repair
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List of differentially expressed entities when comparing cardiac fibroblasts to tail fibroblasts (up-regulated, fold change > 16×, p < 0.05).
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Data normalisation and analysis
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Table 1.1
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List of differentially expressed entities when comparing cardiac fibroblasts to tail fibroblasts (up-regulated, fold change > 16×, p < 0.05).
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7.84E-06
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[5]
[6]
[7]
[48] array · 8 items
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A_51_P246166
[1]
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4.794125063
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0.00010262
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[6]
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A_55_P1998811
[1]
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4.74419517
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6.38E-05
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[5]
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[7]
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List of differentially expressed entities when comparing cardiac fibroblasts and tail fibroblasts (down-regulated, fold change <− 16 ×, p < 0.05).
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PMC4536021
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9
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Data normalisation and analysis
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Table 1.2
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List of differentially expressed entities when comparing cardiac fibroblasts and tail fibroblasts (down-regulated, fold change <− 16 ×, p < 0.05).
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[0] array · 4 items
[0]
Probe ID
[1]
Gene symbol
[2]
Log fold change
[3]
p-Value
[1] array · 4 items
[0]
A_52_P401504
[1]
Thbs4
[2]
− 9.592174841
[3]
1.22E-07
[2] array · 4 items
[0]
A_55_P2163033
[1]
Hoxb13
[2]
− 9.413716631
[3]
4.47E-07
[3] array · 4 items
[0]
A_51_P152990
[1]
Grem2
[2]
− 8.848601783
[3]
2.76E-08
[4] array · 4 items
[0]
A_51_P241068
[1]
Dkk2
[2]
− 7.605061419
[3]
1.48E-06
[5] array · 4 items
[0]
A_30_P01024322
[1]
[2]
− 6.845383532
[3]
0.00167504
[6] array · 4 items
[0]
A_51_P339793
[1]
111rl1
[2]
− 6.624788912
[3]
2.97E-06
[7] array · 4 items
[0]
A_30_P01022821
[1]
[2]
− 6.236747352
[3]
8.13E-05
[8] array · 4 items
[0]
A_55_P1977431
[1]
Cck
[2]
− 6.210979682
[3]
2.50E-05
[9] array · 4 items
[0]
A_55_P2380806
[1]
Gm2115
[2]
− 6.047107571
[3]
1.49E-06
[10] array · 4 items
[0]
A_55_P1983754
[1]
Pcp411
[2]
− 6.022954787
[3]
5.01E-06
[11] array · 4 items
[0]
A_52_P1092823
[1]
lrx1
[2]
− 5.709918806
[3]
7.44E-07
[12] array · 4 items
[0]
A_30_P01017882
[1]
[2]
− 5.589314885
[3]
3.33E-05
[13] array · 4 items
[0]
A_55_P2125311
[1]
Rab3b
[2]
− 5.524900093
[3]
5.71E-07
[14] array · 4 items
[0]
A_55_P2104219
[1]
Hoxc13
[2]
− 5.350209094
[3]
1.25E-06
[15] array · 4 items
[0]
A_30_P01030354
[1]
[2]
− 5.247161242
[3]
0.01040968
[16] array · 4 items
[0]
A_55_P1963807
[1]
Actg2
[2]
− 5.05268315
[3]
1.23E-06
[17] array · 4 items
[0]
A_55_P1959633
[1]
Hnf4a
[2]
− 5.01046471
[3]
0.0084615
[18] array · 4 items
[0]
A_51_P431329
[1]
Car3
[2]
− 4.999183138
[3]
0.00029175
[19] array · 4 items
[0]
A_55_P2275437
[1]
[2]
− 4.971382946
[3]
0.0001802
[20] array · 4 items
[0]
A_51_P254425
[1]
Ah rr
[2]
− 4.931766401
[3]
1.13E-06
[21] array · 4 items
[0]
A_51_P453909
[1]
Cyp2f2
[2]
− 4.90093426
[3]
1.07E-05
[22] array · 4 items
[0]
A_52_P547612
[1]
Tmem30b
[2]
− 4.882588964
[3]
3.74E-06
[23] array · 4 items
[0]
A_55_P1970075
[1]
Hoxa13
[2]
− 4.838619293
[3]
1.99E-06
[24] array · 4 items
[0]
A_30_P01023831
[1]
[2]
− 4.836691283
[3]
1.42E-06
[25] array · 4 items
[0]
A_55_P2035946
[1]
Penk
[2]
− 4.821628549
[3]
4.05E-06
[26] array · 4 items
[0]
A_51_P112223
[1]
Gsta4
[2]
− 4.793332842
[3]
1.64E-06
[27] array · 4 items
[0]
A_51_P350817
[1]
Cnn1
[2]
− 4.788691188
[3]
1.87E-06
[28] array · 4 items
[0]
A_30_P01027398
[1]
[2]
− 4.776324333
[3]
8.12E-05
[29] array · 4 items
[0]
A_55_P2126192
[1]
Lgr5
[2]
− 4.678393687
[3]
0.00126788
[30] array · 4 items
[0]
A_51_P309488
[1]
1810058N15Ril
[2]
− 4.676510147
[3]
3.09E-06
[31] array · 4 items
[0]
A_51_P253481
[1]
Ces1g
[2]
− 4.633576905
[3]
0.00024964
[32] array · 4 items
[0]
A_30_P01019159
[1]
[2]
− 4.60457949
[3]
3.24E-05
[33] array · 4 items
[0]
A_52_P374960
[1]
Ostn
[2]
− 4.570737399
[3]
0.00132575
[34] array · 4 items
[0]
A_51_P222337
[1]
Rspo2
[2]
− 4.566245563
[3]
0.00010263
[35] array · 4 items
[0]
A_55_P1984896
[1]
Fsip2
[2]
− 4.54577185
[3]
0.00054826
[36] array · 4 items
[0]
A_55_P2028399
[1]
Hoxc11
[2]
− 4.466924796
[3]
3.41E-05
[37] array · 4 items
[0]
A_55_P2107140
[1]
Olfr323
[2]
− 4.46213166
[3]
6.91E-05
[38] array · 4 items
[0]
A_52_P973575
[1]
Hoxb9
[2]
− 4.442393871
[3]
4.66E-05
[39] array · 4 items
[0]
A_51_P176202
[1]
Ankrd36
[2]
− 4.369381912
[3]
0.00103598
[40] array · 4 items
[0]
A_52_P569375
[1]
Fgf5
[2]
− 4.365217026
[3]
0.00794978
[41] array · 4 items
[0]
A_51_P108183
[1]
Tnmd
[2]
− 4.345146004
[3]
0.00198834
[42] array · 4 items
[0]
A_51_P194230
[1]
Zic1
[2]
− 4.320743819
[3]
3.29E-05
[43] array · 4 items
[0]
A_51_P241319
[1]
Cilp
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− 4.272317182
[3]
0.00206339
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[0]
A_51_P413111
[1]
Ppm1l
[2]
− 4.265754405
[3]
3.35E-06
[45] array · 4 items
[0]
A_51_P215374
[1]
Slc6a17
[2]
− 4.220019679
[3]
0.00027602
[46] array · 4 items
[0]
A_55_P2163659
[1]
Rspo3
[2]
− 4.177589527
[3]
0.00011669
[47] array · 4 items
[0]
A_51_P375754
[1]
Hoxc10
[2]
− 4.165266321
[3]
0.00468582
[48] array · 4 items
[0]
A_55_P2103297
[1]
[2]
− 4.153975645
[3]
4.06E-06
[49] array · 4 items
[0]
A_55_P2001486
[1]
[2]
− 4.137007991
[3]
7.49E-05
[50] array · 4 items
[0]
A_52_P194971
[1]
Hoxb7
[2]
− 4.093762326
[3]
0.00026535
[51] array · 4 items
[0]
A_55_P2360800
[1]
C230060E24
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− 4.071029277
[3]
0.00301094
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[0]
A_51_P516637
[1]
Bmp5
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− 4.058261531
[3]
0.00185459
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[0]
A_55_P2069226
[1]
[2]
− 4.0448526
[3]
0.000832
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[0]
A_55_P2053933
[1]
Foxa1
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− 4.04379596
[3]
7.51E-05
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[0]
A_55_P2014249
[1]
Sema3a
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[3]
0.00119229
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[0]
A_52_P337126
[1]
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0.00071079
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section[9]/table-wrap[2]#t0010
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normalise_counts
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differential_expression_fit
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quote
Differential analysis between cardiac fibroblast and tail fibroblast samples was performed using the Bioconductor limma package [11], which applies linear models and differential expression functions to the transcriptomic data.
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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GSE50531
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Deposited data can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50531.
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The paper names GSE50531 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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Microarray profiling to analyse adult cardiac fibroblas
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Experimental design, materials and methods Microarray study design Three replicate samples were pr
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:26484127", "kind": "science-record", "revision": 8, "content_hash": "sha256:b3fa164e7c958c82c95529d230ab624294ca90b0a8537b89cdedcb0c1e5bab62", "created_at": "2026-11-01T15:40:11Z", "updated_at": "2026-11-01T22:42:21Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Microarray profiling to analyse adult cardiac fibroblast identity.", "doi": "10.1016/j.gdata.2014.10.006", "pmid": "26484127", "authors": ["Milena B Furtado", "Hieu T Nim", "Jodee A Gould", "Mauro W Costa", "Nadia A Rosenthal", "Sarah E Boyd"], "journal": "Genomics data", "year": 2014, "abstract": "Heart failure is one of the leading causes of death worldwide [1-4]. Current therapeutic strategies are inefficient and cannot cure this chronic and debilitating condition [5]. Ultimately, heart transplants are required for patient survival, but donor organs are scarce in availability and only prolong the life-span of patients for a limited time. Fibrosis is one of the main pathological features of heart failure [6,7], caused by inappropriate stimulation of fibroblasts and excessive extracellular matrix production. Therefore, an in-depth understanding of the cardiac fibroblast is essential to underpin effective therapeutic treatments for heart failure [5]. Fibroblasts in general have been an underappreciated cell type, regarded as relatively inert and providing only basic functionality; they are usually referred to as the 'biological glue' of all tissues in the body. However, more recent literature suggests that they actively participate in organ homeostasis and disease [7,8]. We have recently uncovered a unique molecular identity for fibroblasts isolated from the heart [9], expressing a set of cardiogenic transcription factors that have been previously associated with cardiomyocyte ontogenesis. This signature suggests that cardiac fibroblasts may be ideal for use in stem cell replacement therapies, as they may retain the memory of where they derive from embryologically. Our data also revealed that about 90% of fibroblasts from both tail and heart origins share a cell surface signature that has previously been described for mesenchymal stem cells (MSCs), raising the possibility that fibroblasts and MSCs may in fact be the same cell type. Thus, our findings carry profound implications for the field of regenerative medicine. Here, we describe detailed methodology and quality controls related to the gene expression profiling of cardiac fibroblasts, deposited at the Gene Expression Omnibus (GEO) under the accession number GSE50531. 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