Roger Esteban-Vives1, Jenny Ziembicki2, Myung Sun Choi3, R L Thompson4, Eva Schmelzer1, Jörg C Gerlach1. 1. Departments of Surgery and Bioengineering, McGowan Institute for Regenerative Medicine, University of Pittsburgh, PA, USA. 2. The University of Pittsburgh Medical Center, UPMC Mercy Hospital Trauma and Burn Centers, Pittsburgh, PA, USA. 3. Oregon Health & Science University, Portland, OR, USA. 4. Allegheny Reproductive Health Center, Pittsburgh, PA, USA.
Abstract
Various cell-based therapies are in development to address chronic and acute skin wound healing, for example for burns and trauma patients. An off-the-shelf source of allogeneic dermal cells could be beneficial for innovative therapies accelerating the healing in extensive wounds where the availability of a patient's own cells is limited. Human fetal-derived dermal fibroblasts (hFDFs) show high in vitro division rates, exhibit low immunological rejection properties, and present scarless wound healing in the fetus, and previous studies on human fetal tissue-derived cell therapies have shown promising results on tissue repair. However, little is known about cell lineage stability and cell differentiation during the cell expansion process, required for any potential therapeutic use. We describe an isolation method, characterize a population, and investigate its potential for cell banking and thus suitability as a potential product for cell grafting therapies. Our results show hFDFs and a bone marrow-derived mesenchymal stem cell (BM-MSC) line shared identification markers and in vitro multilineage differentiation potential into osteogenic, chondrogenic, and adipogenic lineages. The hFDF population exhibited similar cell characteristics as BM-MSCs while producing lower pro-inflammatory cytokine IL-6 levels and higher levels of the wound healing factor hepatocyte growth factor. We demonstrate in vitro differentiation of hFDFs, which may be a problem in maintaining long-term lineage stability, potentially limiting their use for cell banking and therapy development.
Various cell-based therapies are in development to address chronic and acute skin wound healing, for example for burns and traumapatients. An off-the-shelf source of allogeneic dermal cells could be beneficial for innovative therapies accelerating the healing in extensive wounds where the availability of a patient's own cells is limited. Human fetal-derived dermal fibroblasts (hFDFs) show high in vitro division rates, exhibit low immunological rejection properties, and present scarless wound healing in the fetus, and previous studies on human fetal tissue-derived cell therapies have shown promising results on tissue repair. However, little is known about cell lineage stability and cell differentiation during the cell expansion process, required for any potential therapeutic use. We describe an isolation method, characterize a population, and investigate its potential for cell banking and thus suitability as a potential product for cell grafting therapies. Our results show hFDFs and a bone marrow-derived mesenchymal stem cell (BM-MSC) line shared identification markers and in vitro multilineage differentiation potential into osteogenic, chondrogenic, and adipogenic lineages. The hFDF population exhibited similar cell characteristics as BM-MSCs while producing lower pro-inflammatory cytokine IL-6 levels and higher levels of the wound healing factor hepatocyte growth factor. We demonstrate in vitro differentiation of hFDFs, which may be a problem in maintaining long-term lineage stability, potentially limiting their use for cell banking and therapy development.
In the USA, chronic wound treatments affect 6.5 million patients annually[1], and for acute wounds, 0.5 million burn cases are registered annually according to
the CDC-NCHS[2]. The current standard treatment for chronic wounds combines wound debridement with
negative pressure[3] followed by skin tissue grafting in severe cases. Due to an aging population and an
association with vascular and metabolic diseases, the incidence of pressure ulcers, venous
ulcers, and diabetic ulcers is increasing every year, with an estimated cost of 25 billion US$/year[1]. In the long term, healed wounds may form scars and contractions that, if not
corrected, may lead to loss of functionality and unsatisfactory psychosocial results[4]. The dermal loss in acute wounds, such as deep partial- or full-thickness burn
wounds, is associated with an economic impact of 6.2 billion US$/year[5]. Here, the current standard therapy, split-thickness skin grafts, has an impact on
the burden of donor site area that is correlated to the size of the burned area. The
patient’s survival, recovery time, aesthetic outcome, and functionality are determined by
the burn wound surface area and depth, time to treatment, and skin donor graft
availability.One of the major challenges in acute wound therapy on extensive and severe partial- and
full-thickness burns is the limited availability of skin donor area. In chronic wound
healing, however, the major challenge is the comprehension of the underlying pathology and,
in some cases, the necessity of grafting after wound healing failure[6]. The various skin pathologies share the need to accelerate wound healing, a complex
process that involves different tissues and cell types. In current research that focuses on
understanding how dermal and epidermal cells initiate the signals that activate the
quiescent stem cells to promote the wound healing process, the role of dermal cell–cell
interactions is emphasized[7-10].Different innovative applications using allogeneic cells have been developed as dermal
replacements, providing a cellular component that does not require harvesting from large
donor areas, reducing additional trauma and pain[11]. The clinical use of such allogeneic cell-based therapies has increased during the
last decade, and includes products such as Dermagraft®[12], Apligraft®[13], and Stratagraft®[14]. These bioengineered allogeneic skin constructs have been tested in clinical trials
to address chronic wounds and burn wound healing[15-17]. Although there are potential benefits of using bioengineered skin substitutes, no
overall satisfying therapy is yet established[18].An autologous cell source for such therapy development using fat tissue-derived mesenchymal cells[19] is under investigation, and some clinical applications have already been tested[20]. Another promising technology is the use of multipotent stem cells including bone
marrow-derived mesenchymal stem cells (BM-MSCs) as allogeneic cell therapy to accelerate
wound healing. Using MSCs as an off-the-freezer cell-based technology has advantages
including a reported low immunogenic response and their described tissue regeneration
capacities by the release of cytokines and growth factors that are thought to reduce
inflammation and promote collagen deposition[21]. Several groups have studied the role of BM-MSCs in dermal wound healing processes,
emphasizing their role in inflammatory processes, cell recruitment, and skin homeostasis maintenance[8,9,22-24], and clinical tests have been initiated[25].Mesenchymal fetal skin-derived fibroblast mesenchymal lines have shown multipotent MSC properties[26], a potential for scar-free tissue repair[27], low immunological rejection properties[28,29], and high division rates[30], and thus may have a potential for clinical grafting. Due to limited availability, it
requires an in vitro expansion step to guarantee enough cell lines for cell banking.
Expanded human fetal tissue-derived dermal fibroblast (hFDF) lines have been previously
tested as a temporary skin substitute in burn wound healing[31,32]. These characteristics would make such allogeneic of-the-freezer products interesting
for potential applications in wound healing[32] on deep-extensive wound injuries (Fig. 1). However, cell isolation and establishment of human fetal mesenchymal hFDF
lines, their characterization, and possible differentiation during cell culture over time is
not well studied.
Fig. 1.
Human fetal dermal-derived fibroblasts (hFDFs) off-the-shelf concept. Fetal
dermal-derived fibroblasts are selected by mechanical disruption and cultured (A).
Fibroblast-like cells are selected from other lineages using a stem cell knife (B).
Cells are sorted using flow cytometry, cultured for expansion (C), and frozen (D).
Conceptually, the cells will be thawed for clinical use applying a cell spray technique
(E).
Human fetal dermal-derived fibroblasts (hFDFs) off-the-shelf concept. Fetal
dermal-derived fibroblasts are selected by mechanical disruption and cultured (A).
Fibroblast-like cells are selected from other lineages using a stem cell knife (B).
Cells are sorted using flow cytometry, cultured for expansion (C), and frozen (D).
Conceptually, the cells will be thawed for clinical use applying a cell spray technique
(E).In this study, we established isolation and culture of an hFDF cell line. We provide
information on cell characterization and cell line stability during in vitro expansion, with
an outlook toward cell banking.
Materials and Methods
Skin Tissue
De-identified 9–11-week fetal skin tissue specimens (n=20) were obtained
under IRB exemption approval (PR007060159, University of Pittsburgh) from the Allegheny
Reproductive Health Center, Pittsburgh, Pennsylvania. Prior to cell isolation, the
specimens were exposed to a storage time of 2–3 h at 4°C in phosphate buffered saline
(PBS) (Invitrogen, Carlsbad, CA, USA) containing 100 U/ml penicillin, 100 μg/ml
streptomycin (Invitrogen), and 2.50 μg/ml Amphotericin B (Invitrogen).
Hematoxylin and Eosin Histology
Pieces of the skin biopsies were embedded in polyvinyl-based medium Tissue-Tek (Sakura
Finetek, Torrance, CA, USA) and prepared for tissue sectioning by immersing them in liquid
nitrogen and pre-cooled 2-methyl butane (Sigma-Aldrich, St. Louis, MO, USA). After cutting
and dehydration in gradual series of ethanol, 3 μm sections were stained with hematoxylin
and eosin (Bio-Optica, Milan, Italy). Light microscopy was performed using a Nikon Eclipse
50i microscope with Nikon DS Fi1 camera and software for image acquisition (Nikon, Tokyo,
Japan).
Fetal Dermal Fibroblast Isolation
Dermal tissue sections were processed following a modification of a previously described method[33]. The fetal dermal tissue sections were disaggregated using scalpel and forceps as
described and cultured in a 60 mm Petri dish. The tissue was then cultured using MSCGM
LONZA medium (LONZA, Basel, Switzerland) to let cells outgrow from the tissue, for further
cell expansion. Pre-cultured fibroblast-like cells were then maintained in a Petri dish,
and all other cell lineages were morphologically identified and removed by using a stem
cell knife (Vitrolife AB, Göteborg, Sweden) and a Nikon SMZ1000
stereomicroscope (Nikon).
Fetal Dermal Fibroblast Culture
After the primary pre-culture was stabilized, 3×10[5] fibroblasts were expanded in 150 cm2 flasks at a density of 2,000
cells/cm2. Standard cultures were maintained in a CO2 incubator
(Heraeus BB 6060, Kendro, CORNING, Corning, NY, USA) at 37°C in a humidified atmosphere
with 5% CO2. After cell isolation and during passages, cells were cultured in
MSCGM medium (LONZA). The medium was changed every 3 days. As 80% confluence was reached,
cells were detached using 0.05% trypsin 0.2% EDTA (Gibco, Thermofisher, Waltham, MA, USA),
and 3×105 cells were passaged to a new flask. Cell suspensions were counted
using a Neubauer hemocytometer (Merck, Darmstadt, Germany). Culture quality control,
microbiology testing, and morphology examination was done with phase-contrast microscopy
using an Axiovert 25 microscope (Zeiss, Göttingen, Germany). The cell expansion rate (k)
was calculated using the cell doubling time formula
xf=x0e(t*k), where
x is the initial number of seeded keratinocytes,
x is the final number of the harvested population, and
t is the time that the hFDFs were in culture.
Mesenchymal Stem Cell Culture
For this study, 7×105 frozen MSCs (LONZA) were thawed and seeded according to
the manufacturer’s instructions. MSC cultures were maintained and expanded in vitro in
MSCGM medium (LONZA) in the same manner as hFDF cells for comparable results. The medium
was changed every 3 days. Cells were passaged at 80% cell confluence.
Adipogenic, Chondrogenic, and Osteogenic Differentiation Assay
hFDFs were cultured in parallel with BM-MSCs with three technical repeats for each
lineage to determine osteogenic, adipogenic, and chondrogenic differentiation (LONZA). For
osteogenic differentiation, cells received the induction of B-glycerophosphate and
dexamethasone, and calcium deposition was detected by Alizarin Red (IHC World, Woodstock,
MD, USA). Adipogenic differentiation was triggered with dexamethasone in combination with
IBMX (3-isobutyl-1-methylxanthine), and oil droplets were stained with Oil Red O (Scytek,
Logan, UT, USA). Chondrogenic differentiation was induced with TGF-β3, and the cells were
centrifuged and cultured as a pellet. After 2–3 weeks, pellets were stained with Alcian
blue for proteoglycans (Scytek).
Flow Cytometry and Cell Sorting
Cultured cells were disaggregated with 0.05/0.02% trypsin-EDTA (Gibco) and washed twice
in cold PBS and centrifuged at low speed (300 g) for 5 min. The cells
were re-suspended for 15 min with 100 μl blocking buffer/106 cells per tube and
kept in ice. The blocking buffer contained 1% of human FcR block (Miltenyi Biotec,
Bergisch Gladbach, Germany), 5% goat serum (Sigma), and 94% PBS (Gibco). Cells were
stained for 30 min at 4°C with primary antibodies using stem cell markers CD105-FITC,
CD90-PerCPCy5.5, CD73-APC, CD34-APC, CD45-FITC, CD14-PerCPCy5.5, CD79α-APC, and
HLA-DR-FITC in a concentration determined by the vendor (BD, Becton Dickinson, Franklin
Lakes, NJ, USA). After three washes with BD Perm/Wash™ buffer (BD), the cells were fixed
with 4% paraformaldehyde. For MACS cell sorting, cells were pre-treated in the same manner
and incubated for 30 min at 4°C with the Miltenyi specific antibodies CD105, CD34, CD45
(Miltenyi Biotec) using different combinations. Cells were sorted using the MS Miltenyi
columns (Miltenyi Biotec) and washed three times with MACS buffer. Depending on the
sorting strategy, the sorted cells were retained in the column or the supernatant. Cells
were centrifuged 5 min at 300 g and re-suspended in MSCGM medium (LONZA).
hFDF populations (n=5) were sorted using fluorescence-activated cell
sorting (FACS) (BD FACS Aria II, Becton Dickinson) marker strategy using CD105-V450,
CD90-PerCPCy5.5, CD73-PE, CD34-AF700, CD45-APCH7, CD14-FITC, CD79α-APC, and HLA-DR-FITC.
Compensation beads (BD) were stained with the same markers as positive controls. Isotype
controls were used as negative controls at the same concentration as the primary
antibodies. Cells were sorted at 800–3,200 cells/s and maintained at 4°C in Buffered
Solution MACS (Miltenyi Biotec) at Buffer pH 7.25, and afterward cultured in MSCGM medium
(LONZA). After cell sorting, sorted populations (n=3) were cultured for
six passages and analyzed to measure the MSC-like population maintenance. We have assumed
between 0.1 to 5% error defining the gating strategy to calculate the percentage of MSC
population.
Gene Expression Analysis
Gene expression analyses were done directly from harvested cells, after isolation or
after in vitro culture. The mRNA was extracted from 3×105 cultured hFDFs
(n=6) and BM-MSCs (n=3) at different passages using
the RNAeasy Purification Kit (Qiagen, Venlo, Netherlands). The mRNA was reverse
transcribed into cDNA using a Transcription Assay (Applied Biosystems, Life Technologies,
Grand Island, NY, USA). Reverse transcriptase reaction was performed at 25°C (10 min),
37°C (120 min), and 85°C (5 min). The cDNA from different donors and passages were
analyzed using a Real-Time Polymerase Chain Reaction (Applied Biosystems) with TaqMan
probe and primer mixes for the genes CD105, CD90, CD73, CD34, CD45, CD14, CD79α, and
HLA-DR. We also tested the genes HGF, Il-6, ELN, Col1A, Col2A, Ki67 comparing cultured
BM-MSCs (Fig. 2C, Fig. 3D, E, K) or hFDFs 2D-cultured
cells versus 3D culture (Fig. 5A,
B). PCR temperature and time conditions were: 50°C (2 min) 1 cycle, 95°C (10 min)
1 cycle, and 95°C (15 s) plus 60°C (1 min), for 40 cycles. The gene expression was shown
as relative quantification using the mean comparative method Delta-Delta CT
(ΔΔCt). The levels of mRNA for every sample were normalized to βACT housekeeping
gene expression.
Fig. 2.
Detection of mesenchymal stem cell (MSC) population in human fetal dermal-derived
fibroblasts (hFDFs). (A) Adipogenic, chondrogenic and osteogenic differentiation of
hFDF cells compared with bone marrow (BM)-MSCs as a positive control. Adipogenic
differentiation was induced by IBMX (3-isobutyl-1-methylxanthine), and staining was
done with Oil Red O for fatty acids. Chondrogenic differentiation was induced by
TGF-β3, and cells were stained with Alcian blue for proteoglycans. Osteogenic
differentiation was induced by B-Glycerophosphate, and cells were stained with
Alizarin S red for calcium deposition. (B) Flow cytometry chart showing percentages of
mesenchymal stem cell antigen markers of passages #1–3 of cultured 9–11-week-old fetal
dermal fibroblasts (n=6). Isotypes (red) and human fetal-derived
fibroblast signal (blue). Maximum gate error of 5%. (C) Gene expression analysis for
markers CD105, CD90, CD73, CD34, CD45 of different hFDF lineages
(n=6), comparing passages 2–3 (n=6) with hFDF
passages 4–7 (n=4), normalized to bone marrow mesenchymal stromal
cells (n=3). (D) Cell growth rate analysis, comparing the doubling
time (k) among hFDF donors (n=20) of passages 1–3 and 4–6,
with/without sorting and MSC (n=3). **
(p<0.01).
Fig. 3.
Sorted hFDF populations showing differentiation after 6 in vitro passages. (A) Skin
biopsy section of 10 weeks gestational age, showing human fetal dermal fibroblasts
before isolation. Other cell lineages are visible such as bone (b), dermis (d), and
epidermis (e). (B) outgrowth of hFDF cells after isolation. (C) Differentiated hFDF
cells at passage 2 expressing α-SMA. (D) Gene expression analysis of MACS
CD105+/− sorted hFDF cells (n=2) compared with the raw
population. (E) Gene expression analysis of passages 1 and 2 of MACS
CD34−/CD45−/CD105+ sorted hFDF cells
(n=2) compared with the raw population. (F) Immunofluorescence
staining of MSC-like population surface antigen markers CD105, CD90, CD73 present in
hFDF populations before sorting. (G) Sorted hFDF population in vitro during expansion.
(H) Flow Cytometry sorting strategy showing mesenchymal stem cell antigen marker
isotypes (red) and human fetal-derived fibroblast signals (blue). Max gate error=5%.
(I) hFDF population percentage showing MSC antigen markers
CD105+/CD90+/CD73+/CD34−/CD45−/CD14−/CD79α−/HLA-DR−
after sorting (p0) and after 6 weeks (p6) in culture. (J) Flow cytometry analysis is
showing changes in percentages of hFDF cells presenting the individual MSC markers
CD105, CD90, CD73, CD34 and, CD45 after sorting compared with 6 weeks in culture. (K)
Gene expression analysis of MSC markers of hFDF populations between passage 3
(n=3) and 6 (n=3). (D, E, and J) Gene expression
results were normalized to mesenchymal stem cell populations, using beta-actin as a
housekeeping gene.
Fig. 5.
Gene expression of cultured cells in collagen I matrix. (A) Gene expression analyses
of hFDF and MSC donors embedded in collagen I matrix (3D culture) compared with their
correspondent 2D cultured homologs (controls). (B) Gene expression analysis of
different hFDF cell lineages cultured in 2D compared with MSCs as a control. Data are
given as mean from three technical repeats ± standard error. Results are presented as
ΔΔCt mean, normalized to beta-actin housekeeping gene expression. ELN:
Elastin; Col 1A: Collagen 1A; Col2B: Collagen 2B; HGF: Hepatocyte growth factor; IL-6:
Interleukine-6; ki67: proliferation protein.
Detection of mesenchymal stem cell (MSC) population in human fetal dermal-derived
fibroblasts (hFDFs). (A) Adipogenic, chondrogenic and osteogenic differentiation of
hFDF cells compared with bone marrow (BM)-MSCs as a positive control. Adipogenic
differentiation was induced by IBMX (3-isobutyl-1-methylxanthine), and staining was
done with Oil Red O for fatty acids. Chondrogenic differentiation was induced by
TGF-β3, and cells were stained with Alcian blue for proteoglycans. Osteogenic
differentiation was induced by B-Glycerophosphate, and cells were stained with
Alizarin S red for calcium deposition. (B) Flow cytometry chart showing percentages of
mesenchymal stem cell antigen markers of passages #1–3 of cultured 9–11-week-old fetal
dermal fibroblasts (n=6). Isotypes (red) and human fetal-derived
fibroblast signal (blue). Maximum gate error of 5%. (C) Gene expression analysis for
markers CD105, CD90, CD73, CD34, CD45 of different hFDF lineages
(n=6), comparing passages 2–3 (n=6) with hFDF
passages 4–7 (n=4), normalized to bone marrow mesenchymal stromal
cells (n=3). (D) Cell growth rate analysis, comparing the doubling
time (k) among hFDF donors (n=20) of passages 1–3 and 4–6,
with/without sorting and MSC (n=3). **
(p<0.01).Sorted hFDF populations showing differentiation after 6 in vitro passages. (A) Skin
biopsy section of 10 weeks gestational age, showing human fetal dermal fibroblasts
before isolation. Other cell lineages are visible such as bone (b), dermis (d), and
epidermis (e). (B) outgrowth of hFDF cells after isolation. (C) Differentiated hFDF
cells at passage 2 expressing α-SMA. (D) Gene expression analysis of MACSCD105+/− sorted hFDF cells (n=2) compared with the raw
population. (E) Gene expression analysis of passages 1 and 2 of MACSCD34−/CD45−/CD105+ sorted hFDF cells
(n=2) compared with the raw population. (F) Immunofluorescence
staining of MSC-like population surface antigen markers CD105, CD90, CD73 present in
hFDF populations before sorting. (G) Sorted hFDF population in vitro during expansion.
(H) Flow Cytometry sorting strategy showing mesenchymal stem cell antigen marker
isotypes (red) and human fetal-derived fibroblast signals (blue). Max gate error=5%.
(I) hFDF population percentage showing MSC antigen markers
CD105+/CD90+/CD73+/CD34−/CD45−/CD14−/CD79α−/HLA-DR−
after sorting (p0) and after 6 weeks (p6) in culture. (J) Flow cytometry analysis is
showing changes in percentages of hFDF cells presenting the individual MSC markers
CD105, CD90, CD73, CD34 and, CD45 after sorting compared with 6 weeks in culture. (K)
Gene expression analysis of MSC markers of hFDF populations between passage 3
(n=3) and 6 (n=3). (D, E, and J) Gene expression
results were normalized to mesenchymal stem cell populations, using beta-actin as a
housekeeping gene.
Immunofluorescence Staining Assays
Cells cultured in a four-well chamber slide (Thermo Scientific, Rochester, NY, USA) were
rinsed with PBS and fixed with methanol/acetone. Sections were permeabilized using PBS
with 1% Triton 100 (PBS, Sigma-Aldrich) and blocked with PBS with 1% Triton 100, FcR
(Miltenyi Biotec, Auburn, CA), goat serum (Sigma-Aldrich), for 1 h at room temperature.
Primary antibodies used were CD105, CD90, and CD73 (Novus Biologicals, Littleton, CO,
USA). After overnight incubation in a humid chamber at 4°C with the primary antibody,
secondary staining was done with a secondary AF488 antibody (Invitrogen) for 1 h at room
temperature. Samples were washed three times with PBS-triton and were mounted using Aqua
Poly/Mount (Polysciences, Warrington, PA, USA). Cells were studied using a Nikon Eclipse
50i microscope with a Nikon DS Fi1 camera and software for image acquisition (Nikon) and
Olympus Fluoview 1000 confocal microscopy (Olympus, Center Valley, PA, USA) at CBI
(University of Pittsburgh Medical School, Pittsburgh, PA, USA).
IL-6 and HGF ELISAs were performed using sorted cell populations (n=3)
with three technical repetitions. 105 cells were cultured during three passages
in a 9.6 cm2 well and compared with bone marrow mesenchymal stromal cells
(LONZA) at passage 2. Cells were cultured using 2 ml MSCGM medium (LONZA), and the medium
was collected when cells reached 80% of confluence. New culture medium was added and
harvested after 48 h of culture. IL-6 and HGF were quantified with an ELISA kit
(Peprotech, Rocky Hill, NJ, USA), using a Synergy H1 plate reader (Biotek, Winooski, VT,
USA). Data were normalized to the number of cells.
Contraction Assay
A cell contraction assay (Cell Biolabs, San Diego, CA, USA) was performed with three
different cell lineages donors D31, D34, and D36 of fetal dermal derived cells and one
lineage of MSCs (LONZA), all of which were sorted and cultured for two passages. A total
of 1×105 cells from each donor was mixed with collagen I matrix and added to 6
wells. After 48 hours in culture, cells mixed with collagen matrix were physically
detached from the edge of the well and the discs were analyzed for matrix contraction.
Three wells were used as negative contraction controls by adding 2,3 butanedione monoxime
(BDM) to inhibit the myosin II contraction. The collagen lattice contraction was measured
as a change in mm after 20 h.
Scratch Assay
Three frozen sorted (CD105+, CD73+, CD90+,
CD34−, CD45−) fetal-derived fibroblast lines (hFDF D31, D34, and
D36) and one MSC lineage were seeded for expansion during 6 days; 10,000 cells of every
lineage were passaged in a 4-well chamber (ThermoFisher, Waltham, MA, USA). The cells were
settled for 2 days, and the scratch was performed using a 10 µm pipette tip, and the cell
migration was analyzed at time 0, 24, and 48 h. Pictures were acquired using Nikon Eclipse
50i microscope with a Nikon DS Fi1 camera (Nikon). The total cultured area was 1.7
cm2 but the “wound closure” measurement was limited to the optical field
(approximately 1 mm[2]) and represented by a percentage. The wound healing measurement was determined by
delimiting the empty spots with Photoshop CS3 (Adobe Systems Incorporated, San Jose, CA,
USA) and measured the area with Image J software (NIH, Bethesda, MD, USA)[34].
Statistical Analyses
The statistical test used in the analysis of changes in MSC markers gene expression of
cultured hFDFs was a two-way ANOVA with a Sidak’s multiple comparison tests. The sources
of variation analyzed were five genes (CD105, CD90, CD73, CD34, CD45) and two passages
groups (passages #2–3 and #4–7). We investigated the division rate differences of sorted
and non-sorted fetal dermal-derived fibroblasts from n=20 independent
skin donations comparing follow-up cultures from passages 1–3, 4–6 with passages 1–3 of
MSCs (n=3). One-way ANOVA with Dunnett’s multiple tests was performed for
all analysis combining data from different passages and comparing the cell sorting
method.The statistical analysis for the contraction assay was an ANOVA with a Sidak’s multiple
analysis tests. The test compared independent samples (n=3) from
different lineages of hFDFs (n=3) and MSCs (n=1). All
tests were performed using the statistics software Prism vs6 (GraphPad Software, La Jolla,
CA, USA).
Results
hFDF Population Showed in vitro Multipotency
The fetal dermal-derived fibroblasts cell populations (hFDFs) were induced to show in
vitro multipotency in comparison to human MSCs. hFDF lineages were initially expanded and,
after induction, and proteoglycan staining showed positive staining for all three tests,
revealing osteogenic, adipogenic and chondrogenic differentiation, respectively (Fig. 2A).
hFDFs Exhibited MSC Phenotype
Isolated hFDF populations from six independent donors were cultured for three passages
and characterized by flow cytometry using MSC markers proposed by the ISCT[35]. Expanded cells on passage 1 showed a population positive for MSC markers with a
mean of 57% for the CD105+/CD90+/CD73+, 0.1% for the
CD34+/CD45+/CD14+, and 0.03% for
CD79a+/HLA-DR+ (Fig. 2B). hFDF cells on passage 3 decreased to 15% of the
CD105+/CD90+/CD73+ population, increased to 2.6%
CD34+/CD45+/CD14+, and maintained a percentage less
than 0.1% for CD79a+/HLA-DR+. During expansion, hFDF cells showed a
progressive decrease in gene expression for BM-MSC markers CD105 and CD90 and an increase
for CD34 and CD45, suggesting the cells were starting to differentiate compared to BM-MSCs
(Fig. 2C). Further gene
expression analyses on passages 4 to 7 confirmed the decrease of CD105, and the increase
of CD34 and CD45 compared with BM-MSCs.
hFDF Suitability for Cell Banking
hFDF cells from 20 donors were independently cultured, comparing the cell expansion rates
between unsorted hFDFs, MSC markers-sorted hFDF cell lineages, and BM-MSC lineages. We did
not find significant statistical differences in growth rates (k=0.30–0.33 cells/day) among
hFDF cell lineages and passages, making them suitable for cell banking (Fig. 2D). However, division rates of
BM-MSCs (k=0.08 cells/day) were significantly lower (p<0.05) than those of hFDF cell
lineages.
Differentiation Analysis of Sorted Human Fetal Dermal-Derived Fibroblasts
We sorted the hFDF population to obtain a highly enriched MSC-like population cell source
minimizing initial cell population mixture using a combination of antibody and column
method (Miltenyi) (Fig. 3D). We
sorted the initial population by enriching in CD105+ cells, but the gene
expression analysis still showed low CD105 expression, with an increase of CD34 expression
(Fig. 3E). Next, we repeated the
cell sorting including staining with CD34 and CD45 to enrich the final cell population
with cells that were CD34– and CD45–, and CD105+. Gene expression analysis for
CD105+/CD34−/CD45−sorted cells, cultured for 2 weeks,
showed a reduction of CD45 and CD34 expression compared with the raw population (Fig. 3E). However, this cell sorting
was still insufficient to sort and maintain the CD105+ population, and cells
still differentiated to CD34+CD45+. We also observed a gene
expression reduction of the CD90+, CD73+ cell population. Therefore,
we decided to sort the initial population with FACS using a complete MSC markers
panel.A large MSC marker panel for flow cytometry cell-sorting step was included to ascertain
that all cells in culture contained the MSC markers CD105, CD90, and CD73 (Fig. 3F, H) and did not contain CD45, CD34, CD79α, or HLA-DR
(Fig. 3H). The hFDF lineages
presented different initial MSC population percentages before sorting, with 67.6% for
Donor 31, 61.2% for Donor 34, and 48.4% for Donor 36. After the sorting process, isolated
cells (Fig. 3G) had a purity of
98.8% for donor 31, 67.8% for donor 34, and 82.6% for donor 36 (Fig. 3I). Initially, sorted cells had the appearance
of spheroids (Fig. 3G), and during
the expansion of cell numbers showed fibroblast-like appearance. Sorted hFDF lineages were
cultured for 6 weeks, and the population percentage was expressing the MSC markers
analyzed with flow cytometry. After six passages, cultured hFDF Donor 31 showed 0.53% of
MSC markers, donor 34 had 39.2%, and donor 36 had 23.9% (Fig. 3I).
Stemness Marker Expression over Passaging
Flow cytometry analysis on individual markers of hFDFs after 6 weeks of expansion showed
a negative 2-fold change of CD105, CD90, and CD73 markers, and a 2- and 3-fold increase in
CD34 and CD45, respectively (Fig.
3J). Gene expression showed a decrease in CD105, CD90, and CD90, and markers CD34
and CD45 increased on passages 3 and 6 compared with BM-MSCs passage 2 control (Fig. 3K). This gene expression
analysis revealed that sorted cells differentiated as previously observed (Fig. 2C), and gene expression
demonstrated similar trends as observed in flow cytometry (Fig. 3J).
hFDFs Secrete Paracrine Effectors Involved in Wound Healing
MSCs play a role in skin homeostasis and regeneration after an injury by migrating into
the wound[36], and by releasing paracrine effectors to recruit different cell lineages[9] that make them valuable for a wide variety of wound healing therapies. Despite the
fact that hFDFs and MSCs share stem cell markers, we analyzed their capability of
releasing the paracrine effectors HGF and IL-6, which are involved in wound healing.
Sorted hFDF cells and MSCs were cultured in triplicate to passage 3 and 2, respectively,
to measure the secreted paracrine effectors interleukin 6 (IL-6) and HGF that are involved
in wound healing (Fig. 4A). hFDF
released 100 pg/ml (±53.48) IL-6, a significantly lower amount of IL-6 compared with 752.2
pg/ml (±85.86) released by MSCs. On the other hand, hFDF cells secreted 335.6 pg/ml HGF
(±138.6) compared with 35.8 pg/ml HGF (±5.7) released by MSCs.
Fig. 4.
Cytokine secretion and contraction assay comparing hFDFs and MSCs. (A) Secretion of
interleukin 6 (IL-6) and hepatocyte growth factor (HGF) of fetal dermal-derived
fibroblasts at passage 3 compared with mesenchymal stromal cells at passage 2. The HGF
and IL-6 concentration were normalized to the cell number in the culture at 48 h
(pg/ml per well). (B) 105 cells of passage 2 fetal dermal-derived cells or
mesenchymal stem cells were mixed with collagen I matrix. After 48 h in culture, cells
mixed with collagen matrix were physically detached from the edge of the well and the
discs were analyzed for matrix contraction. Results show the contraction after 20 h.
2,3 butanedione monoxime (BDM) was used to inhibit contraction (control). (C)
Contraction is given as area; the same samples, cultured with (BDM) or without
(control) inhibitor for contraction. (D) Detail of the cells and collagen matrix disc
edge.
Cytokine secretion and contraction assay comparing hFDFs and MSCs. (A) Secretion of
interleukin 6 (IL-6) and hepatocyte growth factor (HGF) of fetal dermal-derived
fibroblasts at passage 3 compared with mesenchymal stromal cells at passage 2. The HGF
and IL-6 concentration were normalized to the cell number in the culture at 48 h
(pg/ml per well). (B) 105 cells of passage 2 fetal dermal-derived cells or
mesenchymal stem cells were mixed with collagen I matrix. After 48 h in culture, cells
mixed with collagen matrix were physically detached from the edge of the well and the
discs were analyzed for matrix contraction. Results show the contraction after 20 h.
2,3 butanedione monoxime (BDM) was used to inhibit contraction (control). (C)
Contraction is given as area; the same samples, cultured with (BDM) or without
(control) inhibitor for contraction. (D) Detail of the cells and collagen matrix disc
edge.
Fetal Dermal-Derived Cells Combined with Collagen I Biomatrix Change their Gene
Expression Pattern
hFDFs embedded within a collagen type I biomatrix were tested looking for potential
contraction capability (Fig.
4B–D). The collagen
lattice contraction assay revealed that hFDFs D31 did not show contraction in any of the
three repeats, while D34, D36, and hMSCs showed a statistically significant degree of
contraction (p<0.0001) compared with the negative control group with inhibited
contraction with BDM (Fig. 4C).
The ≈0.5 cm3 collagen discs for donors 34, 36, and MSCs were shrunk by the cell
contraction effect and reduced in their area by 38%, 61%, and 32%, respectively, compared
with negative controls. We also detected changes in the gene expression when comparing all
the cell lines growth in conventional culture to those embedded in a collagen matrix
(Fig. 5A). We observed an
increase of expression in genes like elastin (ELN), collagen type 1 alpha-A1 (Col 1A),
collagen type 1 alpha-A2 (Col 2A), and HGF on hFDF and MSC cell lines when cultured on a
3D collagen matrix compared with the same cell lines cultured in 2D. On the other hand, we
observed a reduction of Ki67 gene expression in all cell lineages. IL-6 gene expression
was reduced in all cell lines except for D36. When the gene expression was compared
through all the cell lines expanded in conventional culture (Fig. 5B), IL-6 expression was similar in Donor 34 and
MSCs, but reduced in Donor 31 and particularly low in Donor 36. Donor 36 showed
significantly reduced expression in genes ELN and Col 1 2A, compared with the other cell
groups. Donor 31 and 34 showed a similar gene expression pattern on ELN, Col 1 A1, and Col
1 A2, and all donors showed a 6–20 fold increase in HGF expression compared with MSC.Gene expression of cultured cells in collagen I matrix. (A) Gene expression analyses
of hFDF and MSC donors embedded in collagen I matrix (3D culture) compared with their
correspondent 2D cultured homologs (controls). (B) Gene expression analysis of
different hFDF cell lineages cultured in 2D compared with MSCs as a control. Data are
given as mean from three technical repeats ± standard error. Results are presented as
ΔΔCt mean, normalized to beta-actin housekeeping gene expression. ELN:
Elastin; Col 1A: Collagen 1A; Col2B: Collagen 2B; HGF: Hepatocyte growth factor; IL-6:
Interleukine-6; ki67: proliferation protein.
Wound healing capability was analyzed using the scratch test where cells migrated from
the wound edge after a scratch on the surface (Fig. 6). The initial damaged area represented 41–64%
of the visual field area (approximately 1 mm[2]). Cells from the edge of the “wound” filled the gap by division and/or migration.
The hFDF D31 and 36 filled around 99.5% of the gap in 24 h and hFDF D34 needed some more
hours, but in 48 h the three cell lineages already filled the similar area. However, MSCs
were only able to cover up to 25% of the wounded area in 48 h. MSCs had a lower cell
division rate and thus did not cover the entire surface before the scratch test
started.
Fig. 6.
Scratch assay to test wound healing capabilities measuring the cell migration after
24 and 48 h. The open wound area is represented by the percentage of scratched surface
without cell coverage.
Scratch assay to test wound healing capabilities measuring the cell migration after
24 and 48 h. The open wound area is represented by the percentage of scratched surface
without cell coverage.
Discussion
The Potential use of hFDFs as a Therapeutic Cell Source
Human fetal dermal-derived fibroblasts could be of interest in regenerative medicine, for
their potential use in wound healing therapies due to their skin remodeling ability, their
cell banking feasibility[30], and their multipotent cell characteristics[26]. The hFDF population we described shares a comparable cell lineage origin with the
analyzed MSCs that we used as a control, along with the same characterization markers[37], multipotency[26,38], and partially low immunological response[28,39,40], making hFDFs interesting for allogeneic transplantation. We confirmed that the
isolated hFDF population expresses cell markers comparable with the investigated MSCs
(Fig. 2B) and showed
multipotency in vitro by differentiating under induced stimuli into osteogenic,
chondrogenic, and adipogenic cell lineages (Fig. 2A).Mammalian fetal tissue showed high plasticity recovering from wound injuries, especially
at early developmental stages[27], with scarless fetal tissue regeneration in humans being observed before 24 weeks
of gestational age[41]. In wound healing therapies hFDFs have already been clinically tested in pediatric
burn patients and showed reduced healing time while maintaining resulting functionality[31,42]. The same study also demonstrated that allogeneic cells used in the healing process
were no longer present in the body after 6 months[31]. However, little is known about the potential differentiation of hFDFs after cell
isolation during the cell banking expansion process.
Cell Expansion and Banking Ability
Our findings also revealed that hFDF cell populations have a high division rate (Fig. 2D) compared with adult-derived
MSC cell lines, due to their cell age as has been described in the literature[43]. hFDF cells also presented fast wound closures in scratch tests, showing higher
migration rates (Fig. 6). High
division rates make an hFDF ideal in cell banking as a cell source for an off-the-shelf
skin replacement (Table 1).
Previous studies in fetal dermal cell banking comparing different seeding cell densities
between 3,000 and 6,000 cells/cm2 showed that higher cell densities have higher
cell culture cycles and still had enough cells for banking[30]. Other studies using 20–22-week fetal dermal cells showed that passaging at higher
cell densities maintained stable MSC populations during longer cycles[38]. However, the methodology used in such studies only focused on independent single
marker analysis along the passages instead of a complete MSC markers panel suggesting low
differentiation. We revealed how hFDF populations differentiate during cell expansion
showing significant differences when cell populations are analyzed by flow cytometry using
a multiple marker panel (Fig. 3I)
or analyzing one-by-one single markers (Fig. 3J).
Table 1.
Cell division rate (k) comparing passages (#) between sorted (SORT), non-sorted hFDFs
and MSCs. #
Lineage
Fetal-derived dermal fibroblasts (hFDFs)
Mesenchymal stem cells (MSCs)
Passage
#1–3 SORT
#4–6 SORT
#1–3
#4–6
#1–3
Growth rate (k)
0.3006
0.3231
0.3302
0.3101
0.07786
std. deviation
0.1630
0.1048
0.1
0.099
0.1190
Cell division rate (k) comparing passages (#) between sorted (SORT), non-sorted hFDFs
and MSCs. #
Difficulties in Maintaining a Stable Undifferentiated Cell Population
The cell isolation method used for the dermal tissue does not allow obtaining a pure
source of fetal dermal fibroblasts[33]. The cell outgrowth method (Fig.
3A, B) expanded a
different variety of dermal cell lineages, where the detection of α-SMC (Fig. 3C) suggests that the initial
cell population might contain a subset of smooth muscle cells or pericytes[44]. During the cell isolation process, different cell lineages might have been
expanded and still included in the final population (Fig. 3A, B). Between 40% and 50% (Fig. 2B) of the initially isolated cells did not show
MSC markers, and those cells could be responsible for differentiation by competition
during the expansion process. Also, gene expression analysis during the initial expansion
revealed changes in the hFDF populations, where cells started to differentiate into cells
expressing CD105−/CD34+/CD45+ (Fig. 2C).Our results sorting CD105+/CD34−/CD45− cells using
magnetic bead separation showed an ineffective sorting method, revealing a loss of CD105
marker expression along with increases in CD34+CD45+ cell marker
expression (Fig. 3D, E). These results suggested that
cultured hFDFs started differentiation. To exclude a methodological issue or
artifact-caused differentiation, we sorted the initially expanded cell population using
flow cytometry with the MSC markers[35] panel
CD105+/CD90+/CD73+/CD34-/CD45-/CD14-/CD79a-/HLA-DR-.The cell expansion step was followed by cell characterization after 3 and 6 weeks,
analyzing changes in the population using the MSC markers panel. After 6 weeks of cell
expansion, hFDF lineages had lost the CD105+ population, while increasing the
percentage of CD34+, CD45+, and maintaining stable CD90+,
and CD73+ markers (Fig.
3J). These results were consistent with gene expression analysis changes (Fig. 3K).Anderson et al. described that differences in CD105 expression could be a consequence of
the culture process, and specifically due to cell confluence[45]. They found that a decrease in CD105+ population could be a selection
and expansion of a different subset of the population, rather than differentiation, and
the CD105− subpopulation would still have a high ability to differentiate into
adipocytes and osteocytes[45]. Fathke et al. showed that BM-MSCs used in wound healing in a rat model
differentiate into endothelial CD34+ and fibrocyte-type CD45+ cell lineages[21]. Kaiser et al. sorted bone marrow-derived cells based on the expression of
CD34+ and CD45+ for subsequent analysis of the MSC content. They
did not find MSCs in the CD45+/CD34+ seeded subpopulation and
concluded that BM-MSCs expressing CD34+/CD45+ are not able to attach[46]. However, we observed stable hFDF CD34+/CD45+ subpopulations
that attached and expanded in vitro.
The Potential Advantage of Differentiated hFDFs During Wound Healing
Studies with embryonic stem cells describe low percentages of CD34+ cell
lineages that were stable in culture and were able to become MSC progenitor cells[47]. Postnatal ESC-derived CD34+ cells showed an adherent fibroblast-like
phenotype, and multipotent characteristics and functionality compared with BM-MSCs. Other
studies disclosed that CD34+ cell lineages are a type of peripheral blood
osteoblast precursor involved in bone repair[48,49].Huang et al. found that foreskin-derived fibroblasts presented some similarities with
BM-MSCs, being able to differentiate into adipocytes and osteocytes, but that they were
not able to express CD105+
[50]. Another hypothesis about the low levels of CD105 would be linked to the effects
that high levels of HGF have on TGF-b1. Endoglin is part of the TGF complex that
modulates, via TGF-b1-induction, the synthesis of ECM-like molecules. Endoglin plays a
role maintaining the balance of collagen I deposition on fibroblasts by blocking TGF-β1[51]. One possible explanation of the low CD105+ population is that TGF-β1
could be inhibited by HGF, negatively selecting the CD105+ population by
repressing its expression. That would explain why D31 has a lower MSC population
percentage compared with D34, D36, and MSCD24476 (Fig. 3I, Fig. 4A, Fig. 5B). Whiteley et al. showed that a cultured
subpopulation of umbilical cord-derived CD34+ MSCs showed the high potential of
regeneration in of ischemic injury after transplantation, by recruiting endogenous cells
via paracrine signaling and directly, through in situ engraftment,
differentiating into capillaries, smooth muscle, and minor striated regeneration[52].It is also remarkable that hFDFs and MSCs showed a very low HLA-DR expression, suggesting
a very low or no immune response (Fig.
2B and Fig. 3K). Some
studies suggest that MSC have an inhibitory effect on T-cell proliferation[53]. They are thought to show a low immunologic response by triggering tryptophan
catabolism, which in turn inhibits T-cell proliferation[28], although other studies showed that MSC lineages are not intrinsically immune privileged[54]. However, assays in burned patients showed that hFDF cells embedded in constructs
remain in the wound for a limited period until they are replaced by autologous cells[55].
Fetal Dermal Cells, Paracrine Effectors, and Wound Regeneration Properties
hFDF cell lineages showed wound healing capability in the scratch tests (Fig. 6), where in 24 h the cells
migrated from the wound edge into the empty area covering 90–99% of the “wound.” Even
though MSC lineage was seeded with the same initial cell number, MSCs did not have the
same initial cell coverage due to the slow cell division ability. Independently of the
cell division rate, both hFDFs and MSCs showed migration capability to cover the wound
gap.Fetal-derived cells showed higher division rates than adult cells, but when we normalize
the cell number, hFDF populations release in the medium higher concentrations of HGF and
lower concentrations of IL-6 compared with MSC controls. Our results have also shown that
hFDFs from various donors produce different concentrations of HGF, which inversely
correlates with the percentage of the MSC population (Fig. 3I, Fig. 4A). In our results an increase of HGF
production correlated with an increase in dermal differentiation. At the same time, HGF
concentrations produced by hFDF cells and HGF gene expression are inversely correlated
with collagen 1 A1 expression in hFDFs and MSCs (Fig. 5B). In the literature, it has been shown that
concentrations of HGF show a negative correlation with collagen 1 A1 and αSMA expression,
suggesting an anti-fibrotic effect during wound healing[56].HGF plays an important role in the wound healing process by stimulating epithelial cells[23] and enhancing wound closure[57]. Other studies showed that HGF suppresses the TGF-β1 production of BM-MSCs by
temporarily suppressing T-lymphocyte proliferation[53]. Highly proliferative fibroblasts can contribute to excessive collagen I
deposition. However, HGF has the effect of inhibiting the MSC proliferation, stimulating
their migration[58]. HGF also modulates tissue fibrosis during the progression of chronic diseases by
reducing the collagen deposition of fibroblasts and inhibiting the plasminogen activator
inhibitor, an ECM-degrading enzyme inhibitor[59].The pro-inflammatory cytokine IL-6 is secreted by adult fibroblasts in large quantities,
stimulating the recruitment of monocytes by chemotaxis and macrophages activation[9]. The presence of IL-6, secreted in burn wound blisters[60], may be involved in stimulating keratinocyte migration[61] and keratinocyte proliferation[62]. Duncan and Berman showed that adult dermal fibroblasts could produce constitutive
levels of IL-6 (0.5–0.8 ng/ml) that could play a role in wound repair during dermal
fibrotic remodeling[63]. Gallucci et al. showed that an IL-6 concentration of 100 pg/ml exhibited the best
keratinocyte migration response, while IL-6 knockout mice presented a significant wound
healing delay[64,65]. On the other hand, IL-6 above 500 pg/ml showed migration reduction triggered by
feedback inhibition[61]. Although IL-6 plays an important role during the acute phase response to an
injury, an excessive concentration of circulating cytokines is associated with morbidity
and mortality in burns and acute trauma injuries[66,67]. A low concentration of IL-6 in fetal wound healing is associated with a low
inflammatory response, which in turn creates a permissive environment for scarless skin regeneration[68]. Our results showed that sorted hFDF cells produced low concentrations of the
pro-inflammatory cytokine IL-6 compared with MSCs. The constitutive production of IL-6 in
hFDF cells combined with bioengineered skin tissue may be even lower (Fig. 5A), which would be beneficial by avoiding the
pro-inflammatory local response and its long-term pathologic effect, especially during the
remodeling phase.
hFDFs in Collagen I Embedded Constructs
The results of the collagen contraction assay showed a donor-dependent high variability
response shrinking the lattice (Fig.
4B, C). In addition,
changes in the gene expression of hFDFs and MSCs comparing traditional 2D culture with
collagen I matrix embedded cells reveal substantial changes that may affect the skin
functionality (Fig. 5A, B). Comparisons among the hFDF and MSC
donors on HGF gene expression (Fig.
5B) matched with the quantified cytokine production in 2D culture (Fig. 4A). However, IL-6 gene
expression and cytokine quantification showed some differences between the protein
quantification and the gene expression. One possible explanation would be
post-transcriptional regulation, or significant differences could be attributed to the
limitation of the gene expression as a one-time point analysis.These results are important because they consider that wound healing and tissue
regeneration bear different meanings, implying that an excessive increase of collagen
deposition combined with wound contraction may end up in scar formation. The division is
inhibited in all cell lineages once cells are embedded in a collagen I matrix as Ki67
marker decreases.
Conclusion
We previously introduced employing clinically adult epidermal stem cell preparations for
autologous cell spray-grafting in severe partial-thickness II° burns. There, a cell
isolation technique for basal epidermal progenitors was introduced[33,69]. Including primary passage zero dermal cells into such innovative therapies could be
of interest[70,71], and combinations with cultured and banked hFDFs could be of special value for
extensive critical full-thickness burns[72] (Fig. 1).The expansion of fetal dermal skin-derived fibroblasts was tested, showing inherent
characteristics that would be beneficial for wound healing therapies. However, we were
unable to maintain lineage stability after 6 weeks of culture under our tested conditions.
We demonstrate that the cell lineage fate—besides the initial tissue source and after cell
sorting with specific markers—may determine the suitability for cell banking and thus the
feasibility for being used as potential therapeutic. Despite the hFDF potential for wound
healing, the cell source origin may face some objection to public acceptance.Further studies involving clonogenic expansion are required to ensure cell lineage
stability, maintaining of cell fate, and controlling differentiation processes. Of interest
would be studies on hFDF functionality when embedded in 3D matrix structures that more
resemble skin conditions in vivo.
Authors: G D Gentzkow; S D Iwasaki; K S Hershon; M Mengel; J J Prendergast; J J Ricotta; D P Steed; S Lipkin Journal: Diabetes Care Date: 1996-04 Impact factor: 19.112
Authors: Chandan K Sen; Gayle M Gordillo; Sashwati Roy; Robert Kirsner; Lynn Lambert; Thomas K Hunt; Finn Gottrup; Geoffrey C Gurtner; Michael T Longaker Journal: Wound Repair Regen Date: 2009 Nov-Dec Impact factor: 3.617
Authors: Michael J Schurr; Kevin N Foster; John M Centanni; Allen R Comer; April Wicks; Angela L Gibson; Christina L Thomas-Virnig; Sandy J Schlosser; Lee D Faucher; Mary A Lokuta; B Lynn Allen-Hoffmann Journal: J Trauma Date: 2009-03
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