GET THE APP

3-D Perfusion Bioreactor Process Optimization for CD34+ Hematopoi
Journal of Bone Research

Journal of Bone Research
Open Access

ISSN: 2572-4916

+44 1478 350008

Research Article - (2014) Volume 2, Issue 3

3-D Perfusion Bioreactor Process Optimization for CD34+ Hematopoietic Stem Cell Culture and Differentiation towards Red Blood Cell Lineage

Greggory J. Housler1,2, Christopher Pekor1, Toshio Miki1, Eva Schmelzer1, Katrin Zeilinger3 and Jörg C. Gerlach1,2*
1Department of Surgery, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh PA, USA
2Department of Bioengineering, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh PA, USA
3Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charite - Universitätsmedizin Berlin, Berlin, Germany
*Corresponding Author: Jörg C. Gerlach, 3025 East Carson Street, Pittsburgh, PA 15203 (USA), USA, Tel: 412-383-7460, Fax: 412-383-9460 Email:

Abstract

Process optimization for in vitro cellular engineering of CD34+ hematopoietic stem cell (HSC) culture expansion and differentiation towards red blood cell (RBC) lineages continues to remain a multifaceted challenging operation. This work focuses on three process aspect experiments with the goal of providing improved conditions for the culture of HCSs towards RBC lineages in four-compartment hollow fiber based bioreactors. In a first set of experiments, ideal conditions for the expansion and differentiation of CD34+ HSCs into RBCs were determined by testing the impact of initial cell plating density (3,000 cells/mL versus 20,000 cells/mL), the frequency of replenishing medium, and the transfer to new wells for expansion using 2D transwell plate cultures over 28 days. Results show that a lower density of 3,000 cells/mL and more frequent media changes promote higher levels of cell expansion. In a second independent set of experiments, hollow fiber bioreactor cultures were used to assess if cell inoculation and harvest from such a bioreactor technology platform are potentially damaging HSCs, yielding unfavorable outcomes. Four 8-mL cell chamber volume laboratory scale bioreactors were inoculated with an initial HSC seeding density of 20,000 cells/mL each, perfused for 4 hours, and then harvested to determine the percent recovery. Cells were effectively recovered from the bioreactors, and in follow-up 2D conventional plate cultures the recovered cells expanded as well as the control cultures, indicating that inoculation and harvest procedures are not a source of mechanical injury or cell loss during bioreactor culture. Finally, a third independent set of experiments used multiple 8-mL laboratory scale bioreactors with an initial HSC seeding density of 20,000 cells/mL. Cells were cultured at three time intervals for 8 to 11 days (n=10), 12 to 14 days (n=15), or 15 to 22 days (n=3) with fold-expansion results of 106.0 ± 94.0, 999.5 ± 589.6, and 456.3 ± 33.6, respectively. Although additional studies are necessary for complete large scale-up RBC optimization, the results of these studies have led to a methodical understanding of improved conditions for HSC culture in hollow fiber perfusion bioreactor systems.

<

Keywords: Inoculation; Hydroxyapatite; Perfusion; Stem cell niche; Transwell cultures; 3D bioreactors; CD34+ hematopoietic stem cells

Introduction

Although significant advances have been made towards the in vitro culture of human CD34+ hematopoietic stem cell(HSC) populations, bioreactor culture processes and differentiation into red blood cells (RBC) in vitro have yet to be fully optimized for a therapeutic production of RBCs [1]. The in vivo expansion and differentiation of hematopoietic progenitor populations is known to be highly dependent on their stem cell niche environment. Stem cell niches are characterized through cell-cell interactions of the various cell types, including stroma cells, cell-substrate / matrix interactions [2], interactions and the combination and concentration of soluble factors [3]. In addition, substrate interactions with the bone marrow niche hydroxyapatite provide a mechanical stabilization and protection of these components. Recreating such a niche in vitro, in order to enable cell production behaviors similar to the human body, is particularly challenging (Table 1). Furthermore, the in vitro cellular engineering process of creating RBCs starting from progenitor cells involves a very systematic detailed approach (Figure 1). Compared to conventional two-dimensional (2D) plate cultures with static medium conditions, bioreactor systems that can provide a dynamic three-dimensional (3D) perfusion more closely mimic the bone marrow stem cell niche and allow for spatial cell-tocell interaction. Table 2 summarizes some information of relevance for the development of RBC bioreactor culture technology [4-13].

Cell Type Cell Concentration (cells/mL) Lifespan (Days) Production rate (billions per day)
RBCs 5×109 120 208
Platelets 2×108 8 125
WBCs 5×106 0.5 50
Total Production 383

Table 1: In vivo human blood cell production rates (steady state, normal conditions). The optimal goal for cellular engineering is to mimic bone marrow function and efficiency according to the body’s natural blood cell production rates; red blood cells (RBCs), white blood cells (WBCs) [9].

archive-bone-marrow-research-Successful-cellular-engineering

Figure 1: Overview of approach: recapitulate bone marrow function and efficiency. Successful cellular engineering of HSCs into RBCs involves the integration of many complex steps. The process starts with basic science and technology and moves through translational advanced research and development.

Aspect Literature
RBCs Lifespan – 120 days  [4,5,9,10,11]
Turnover rate in human body –  4-5×1012 RBCs every 3 weeks  [5]
Mean half-life of a heterogeneous normal donor RBC – 28 days  [5,6,10]
Concentration in vivo – 5×109 cells/mL  [9]
Length of time that RBCs can be conserved in vitro – 30 days  [6]
Cord
Blood
Number of CD34+ cells in a cord blood donation – 2-5×106 cells  [8,9]
Theoretical yield from one cord blood donation – 10-50 packed RBC units (assuming 5 million CD34+ cells in CB donation and generation of 4-22 million RBC from each CD34+ cell [6]
Adult
bone marrow
Daily production of 0.1 units of RBCs, 2.5 units of platelets and 1011 neutrophils.  [8,10]
Under stress these production rates can be increased.  [9]
In vivo perfusion rate is appro×imately 0.1mL per cc of marrow/minute [9]
O×ygen tension values reported from 10-50 mmHg  [9]
Frequency (ratio) of HSCs in the bone marrow – 1 cell in 10,000  [6]
A volume appro×imating 2L of adult human bone marrow can generate 9×109 cells/hour (not all RBCs)  [11]
Cell growth densities approaching 1×109 are comparable to bone marrow.  [11]
Production flu× = [(blood volume) × (cell concentration)] / lifespan  [9]
Typical human blood volume = 5 L  [9]
Total blood cell production in humans – ~400 billion cells/day  [9]
Size of human hematopoietic system – appro×. 500-1000 billion cells [1 to 2 kg at appro×imately 5×108 cells/mL]  [9]
Bone marrow produces as many cells as it is made of over a 1-3 day period.  [9]
Blood Collection/Supply Number of donor units of whole blood collected per year – 80 million  [8]
Developing nations give 39% of blood that is collected but account for 82% of the population → shortages in supply  [8]
Number of units of whole blood collected in the USA in 2006 – 15.7 million  [8,12]
Shelf life of transfusable RBC product – 42 days (increasing time = possible to×icity)  [7,10,11,12]
Only a few days supply of type O blood available at any given time in the USA and other blood groups have even lower supply  [11]
RBC
units
Number of cells in concentrate – 2×1012  (2.5×1012 cells/mL)  [4,5,7,8]
Minimum mean age – 5.0 days  [10]
Ma×imum mean age – 42.0 days  [10]
Median – 15.0 days  [10]
Shelf life – 42 days in U.S. FDA approved additive solution according to American Association of Blood Banks guidelines.  [7,10
Average cost per RBC unit (O+, leukofiltered, not irradiated, not cytomegalovirus (CMV)-negative – $153.68 (range $143-$164)   [10]
Number of RBC units transfused in 2011 – 13,785,000  [13]

Table 2: Relevant RBC supporting facts and literature. RBC production aspects that are of interest for the development of red blood cell production systems with corresponding literature references.

We previously demonstrated a proof of principle expansion and differentiation of human CD34+ HSCs towards RBC lineages using a four-compartment hollow fiber based 3D perfusion bioreactor that provides integral oxygenation and high performance mass exchange with low gradients, thus making it suitable for larger scale cell production that approaches the cell densities under which RBC production is performed in vivo. High initial cell seeding density (800,000 cells/mL) studies in a 2-mL scale bioreactor system showed a total fold expansion of 105 ± 33 (n=3). Successive studies conducted in an 8-mL cell compartment scale bioreactor demonstrated cell harvesting capabilities, sequential cell removal, and passaging of cells [14]. Although our previous results were promising, a number of processes associated with variable efficiency of in vitro cell expansion and erythrogenic differentiation of HSCs must be optimized for continuous RBC production in these bioreactor systems.

Dynamic perfusion bioreactor systems differ as compared to conventional static 2D cultures in terms of culture medium feed mode and rate, 3D medium perfusion, oxygen supply / CO2 removal, and waste medium removal [15]. Because of the complexity, the level of variability in expansion and differentiation characteristics can be caused by a number of controlled bioreactor inputs [16]. The cell inoculation density and mechanical cell harvest procedures that could potentially injure cells are two critical steps and can affect follow-up cell culture or lead to cell loss, thus yielding misleading expansion totals.

This work focused on three experimental studies with the ultimate goal of providing improved bioreactor conditions for the culture of HCSs towards RBC lineages in the described technology. We worked on three objectives in order to optimize bioreactor culture conditions for HSCs towards RBC lineages: (1) We sought to determine how cultures are affected by higher and lower seeding densities and more frequent medium changes. This was performed simulating general bioreactor conditions in 2D Transwell cultures that are independent of the platform we promote. (2) We proceeded to determine if the cell inoculation or harvest procedures in the specific bioreactors are mechanically stressing HSCs, and if cells can be effectively recovered from the bioreactor after short periods of culture using standard perfusion protocols when employing an 8-mL culture volume bioreactor scale system. (3) Increasing the cell expansion within one bioreactor while extending the culture time was investigated to enhance differentiation towards RBC lineage, using an initial cell seeding density of 20,000 cells/mL in 8-mL volume bioreactor systems.

Materials and Methods

Simulation of varying bioreactor feed rates and densities using 2D Transwell cultures

HSC isolation and pre-cultivation in standard 2D culture: Postpartum placentas were procured under informed consent at Celgene Cellular Therapeutics (CCT), with donor eligibility documentation and undergoing a series of quality control tests, including serology, bacteriology and HLA typing. Total nucleated cells as the source of HSCs were generated by treating the donor matched umbilical cord blood and placenta derived stem cells with ammonium chloride (catalog# 07850, Stem Cell Technologies) to remove the erythrocytes. The subsequent purification of HSCs was performed using RoboSep® automated cell isolation system and EasySep® Human Progenitor Cell Enrichment Kit (catalog# 19056, Stem Cell Technologies). The purity of isolated cell populations was measured using CD34+ cell surface marker expression as determined using fluorescence activated cell sorting (FACS) analysis. After isolation, cells were shipped overnight from Warren, New Jersey to Pittsburgh, Pennsylvania. HSCs were received from CCT and an initial cell count/viability assessment was performed. Cells were then placed in 25-cm2 static t-flask culture at a density of 100,000 cells/mL using expansion and differentiation culture medium and placed in an incubator with a 5% CO2 atmosphere, 95% humidity, and 37˚C for two days prior to the start of the experimental culture period. Following the pre-culture period, a final cell count/viability assessment was performed using a Countess™ Automated Cell Counter (Invitrogen) prior to plating the cells.

Progenitor cell expansion and erythroid differentiation: Expansion and differentiation of HSC into RBC was performed as previously described [14].

2D Transwell plate cultures: In order to compare the effect of cell density and medium exchange intervals a series of 2D plate cultures were created for experimental testing. A description of the plates that were created can be seen in Table 3, while Table 4 shows the details of the experimental strategy. Cells were placed in 12-well plates with Transwell inserts (Corning, USA) to allow daily medium exchange in the bioreactor simulation protocol without loss of cells during aspiration. Four replicate wells were plated for each experimental condition using 2 mL of CCT expansion and differentiation medium per well. The two densities chosen were 20,000 and 3,000 cells/mL. The 20,000 cells/mL reflects the density commonly used when culturing HSCs according to an established protocol (the CCT expansion protocol). The 3,000 cells/mL reflects the actual density in the bioreactor if 20,000 cells/mL are inoculated and the entire circuit volume is considered. The two volumetric medium exchange rates compared were an established CCT expansion protocol and a bioreactor simulation (BR Simulation). Cells were maintained according to CCT expansion protocol by diluting one volume of cell culture supernatant with 3 or 4 volumes of fresh medium on days 4 and 7, respectively. Further maintenance of medium exchange was performed on days 11 and 18 (as of day 4) and days 14 and 21 (as of day 7). Cell number and viability were determined by trypan blue exclusion method on culture expansion days using a Countess™ Automated Cell Counter (Invitrogen). The medium exchange rate in the bioreactor simulation for an actual bioreactor feed rate of 1ml/hr was approximated in 2D by replacing 0.45 mL of culture medium every 12 hours during the entire culture period. The combination of variables in Table 3 also examines whether or not expansion of cells into new wells according to the CCT protocol is beneficial as compared to not expanding the cells, which is equivalent to the conditions inside of the bioreactor. The experiment was repeated two times for a total of three experimental trials.

Cell Density (cells/mL) Medium Exchange Protocol Expansion (Yes/No)
3,000 CCT Yes
20,000 CCT Yes
3,000 BR Simulation No
20,000 BR Simulation No
3,000 BR Simulation Yes
20,000 BR Simulation Yes

Table 3: Summary of 2D transwell plate culture methodology using CD34+ HSCs. The two cell densities compared were 3,000 and 20,000 cells/mL. Celgene Cellular Therapeutics (CCT) medium exchange and bioreactor simulation (BR simulation) protocols were utilized. The expansion (Yes/No) column refers to expanding into new wells.

Day 0 Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
Cell Plating Condition:
3,000 cells per mL
CG protocol feed regime
Expansion
- - - 3,000/CG/Exp/1a - - 3,000/CG/Exp/1aI
3,000/CG/Exp/1aII
3,000/CG/Exp/1aIII
3,000/CG/Exp/1aIV
3,000/CG/Exp/1aV
3,000/CG/Exp/1b - - 3,000/CG/Exp/1bI
3,000/CG/Exp/1bII
3,000/CG/Exp/1bIII
3,000/CG/Exp/1bIV
3,000/CG/Exp/1bV
3,000/CG/Exp/1c - - 3,000/CG/Exp/1cI
3,000/CG/Exp/1cII
3,000/CG/Exp/1cIII
3,000/CG/Exp/1cIV
3,000/CG/Exp/1cV
3,000/CG/Exp/1d - - 3,000/CG/Exp/1dI
3,000/CG/Exp/1dII
3,000/CG/Exp/1dIII
3,000/CG/Exp/1dIV
3,000/CG/Exp/1dV
Day 0 Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
Cell Plating Condition:
3,000 cells per mL
BR simulation feed regime
No Expansion
0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange
Day 0 Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
Cell Plating Condition:
20,000 cells per mL
CG protocol feed regime
Expansion
- - - 20,000/CG/Exp/1a - - 20,000/CG/Exp/1aI
20,000/CG/Exp/1aII
20,000/CG/Exp/1aIII
20,000/CG/Exp/1aIV
20,000/CG/Exp/1aV
20,000/CG/Exp/1b - - 20,000/CG/Exp/1bI
20,000/CG/Exp/1bII
20,000/CG/Exp/1bIII
20,000/CG/Exp/1bIV
20,000/CG/Exp/1bV
20,000/CG/Exp/1c - - 20,000/CG/Exp/1cI
20,000/CG/Exp/1cII
20,000/CG/Exp/1cIII
20,000/CG/Exp/1cIV
20,000/CG/Exp/1cV
20,000/CG/Exp/1d - - 20,000/CG/Exp/1dI
20,000/CG/Exp/1dII
20,000/CG/Exp/1dIII
20,000/CG/Exp/1dIV
20,000/CG/Exp/1dV
Day 0 Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
Cell Plating Condition:
20,000 cells per mL
BR simulation feed regime
No Expansion
0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange
Day 0 Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
Cell Plating Condition:
3,000 cells per mL
BR simulation feed regime
Expansion
0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 3,000/BR/Exp/1a 0.9 mL media exchange 0.9 mL media exchange 3,000/BR/Exp/1aI
3,000/BR/Exp/1aII
3,000/BR/Exp/1aIII
3,000/BR/Exp/1aIV
3,000/BR/Exp/1aV
3,000/BR/Exp/1b 0.9 mL media exchange 0.9 mL media exchange 3,000/BR/Exp/1bI
3,000/BR/Exp/1bII
3,000/BR/Exp/1bIII
3,000/BR/Exp/1bIV
3,000/BR/Exp/1bV
3,000/BR/Exp/1c 0.9 mL exchange 0.9 mL exchange 3,000/BR/Exp/1cI
3,000/BR/Exp/1cII
3,000/BR/Exp/1cIII
3,000/BR/Exp/1cIV
3,000/BR/Exp/1cV
3,000/BR/Exp/1d 0.9 mL exchange 0.9 mL exchange 3,000/BR/Exp/1dI
3,000/BR/Exp/1dII
3,000/BR/Exp/1dIII
3,000/BR/Exp/1dIV
3,000/BR/Exp/1dV
Day 0 Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7
Cell Plating Condition:
20,000 cells per mL
BR simulation feed regime
Expansion
0.9 mL media exchange 0.9 mL media exchange 0.9 mL media exchange 20,000/BR/Exp1a 0.9 mL media exchange 0.9 mL media exchange 20,000/BR/Exp1aI
20,000/BR/Exp1aII
20,000/BR/Exp1aIII
20,000/BR/Exp1aIV
20,000/BR/Exp1aV
20,000/BR/Exp1b 0.9 mL media exchange 0.9 mL media exchange 20,000/BR/Exp1bI
20,000/BR/Exp1bII
20,000/BR/Exp1bIII
20,000/BR/Exp1bIV
20,000/BR/Exp1bV
20,000/BR/Exp1c 0.9 mL exchange 0.9 mL exchange 20,000/BR/Exp1cI
20,000/BR/Exp1bII
20,000/BR/Exp1bIII
20,000/BR/Exp1bIV
20,000/BR/Exp1bV
20,000/BR/Exp1d 0.9 mL exchange 0.9 mL exchange 20,000/BR/Exp1dI
20,000/BR/Exp1dII
20,000/BR/Exp1dIII
20,000/BR/Exp1dIV
20,000/BR/Exp1dV

Table 4: 2D transwell Petri culture well set-ups, feed regime, and expansion schematic. Each individual cell in the tables above represents a separate well. Two mL of media was used per well. Blue labeled cultures represent actual practical well follow up whereas the Red labeled cultures represent theoretical, or no follow-up. Although not all wells were followed up on, the theoretical number of wells (Blue and Red) was taken into account when calculating the total expansion rates. There were a total of 2 repeats for each cell plating condition. The experiment was repeated three times for statistical significance. Although the schematic above shows maintenance for 7 days, we maintained the cultures over 28 days.

Four-hour harvest of CD34+ HSC bioreactor recovery testing

Bioreactor technology: The 8-mL scale laboratory bioreactor consists of three independent interwoven capillary systems that facilitate counter-current medium perfusion and decentralized oxygenation with low gradients (Figure 2). The structure of the capillary network is described in detail elsewhere [17-19].

archive-bone-marrow-research-temperature-regulation

Figure 2: Four-compartment hollow fiber based bioreactor systems. Bioreactor perfusion, temperature regulation, and oxygenation device (background) that can accommodate up to four bioreactors of various scales. Two bioreactors for two different culture volume scales are shown in the front (left: 800-mL cell compartment volume bioreactor, right 8-mL volume bioreactor). The 8-mL bioreactor platform was used for experimental studies 2 and 3.

Bioreactor assembly and priming: Bioreactors and tubing sets were assembled under sterile conditions in a laminar airflow biosafety cabinet according to standard protocol and were then set up on an appropriate perfusion device (StemCell Systems, Germany). The bioreactors were primed with 200 mL of 70% ethanol solution (to remove any particulate material or plasticizers from the medium fibers) and then 500 mL of Dulbecco’s phosphate buffered saline (without Ca or Mg) (Invitrogen Gibco, USA) to flush out the ethanol solution. Next, 500 mL of Iscove’s Modified Dulbecco’s Medium (IMDM) (Invitrogen Gibco, USA) was used followed by 500 mL of IMDM supplemented with 10% fetal bovine serum (FBS; Invitrogen, Gibco) and 1% penicillin-streptomycin to prime the medium fibers. Finally, 200 mL of expansion and differentiation medium supplemented with 1% penicillin-streptomycin was used to prime the system to equilibrium.

2D pre-culture and inoculation into 8-mL scale bioreactors: HSC isolation and 2D 2-day preculture was performed according to a procedure previously described [14]. Following the pre-culture period a final cell count/viability assessment was performed prior to bioreactor inoculation preparation.

Syringes containing 160,000 viable cells in 10 mL of CCT expansion and differentiation medium were prepared for each of the four 8-mL laboratory scale bioreactors to be used in the study giving a bioreactor density of 20,000 cells/mL. For consistency, when referring to the cell density in the bioreactor, a volume of 8 mL will be used since our previous publication density was calculated with respect to the cell chamber volume (a volume of 2-mL for the 2 mL cell compartment bioreactor). A 16-gauge needle was attached to each syringe to aid in piercing the septum on the cell inoculation port. Additionally, an extra syringe containing 10 mL of CCT expansion and differentiation medium was prepared for each bioreactor. Prior to cell inoculation the media flow into and out of the cell compartment was clamped to make sure that cells were trapped inside of the bioreactor. The arterial medium flow into the cell inoculation port was also clamped.

Inoculation of the cells into the 8-mL laboratory scale bioreactor was performed under sterile conditions. Cell inoculation was accomplished by injecting the contents of the syringe at a slow rate to avoid cell injury. Following inoculation the cells were then ‘chased’ into the cell compartment with 10 mL of fresh CCT expansion and differentiation medium and perfusion of the cultures was initiated.

4-hour culture and cell harvest using 8-mL scale bioreactors: Following inoculation the cells were perfused with CCT expansion and differentiation medium for 4 hours using a bioreactor perfusion system feed rate of 2 mL/hr and a recirculation rate of 20 mL/min.

At the end of this period each reactor was transferred under the laminar airflow biosafety cabinet and 400 mL of IMDM was flushed in a sterile manner through the cell compartment into a series of 50 mL conical polypropylene tubes (Falcon, BD Biosciences). The cell suspensions were then centrifuged at 400 g for 8 minutes, supernatants were aspirated and the cell pellets were combined and counted using the Countess Automated Cell Counter (Invitrogen) to determine total cell recovery.

2D follow-up culture of cells recovered from 8-mL scale bioreactors: The cells recovered from the 8-mL bioreactor were then plated in 2D at a density of 20,000 cells/mL with 2 mL of expansion and differentiation media per culture well. 6-well tissue culture polystyrene plates with Transwell inserts (Corning, USA) were used to allow sampling of the cultures without cell loss. Additionally, a 2D control culture of cells from the same population that were never inoculated into the bioreactor was plated at a density of 20,000 cells/mL with 2 mL of expansion and differentiation media per well.

Cells were maintained according to CCT protocol by diluting one volume of cell culture with 3 or 4 volumes of fresh medium on days 4 and 7, respectively. Further maintenance was performed on days 11 and 18 (as of day 4) and days 14 and 21 (as of day 7). Cell number and viability were determined on culture expansion days using a Countess Automated Cell Counter (Invitrogen).

8-mL scale laboratory scale bioreactor culture

Bioreactor assembly and priming: Bioreactors and tubing sets were assembled and primed as described above.

2D pre-culture and inoculation into 8-mL scale bioreactors: HSC isolation, 2D 2-day preculture, and inoculation were performed according to the procedure described above.

2D control cultures: HSCs were cultured using six-well plates (Falcon, BD Biosciences) at a density of 20,000 cells/mL in a medium volume of 2 mL in parallel with bioreactor cultures to check for proper cell growth and to easily identify potential bacterial or fungal contamination. On day 4, one volume of cell culture was diluted in three volumes of fresh medium. On day 7, one volume of cell culture was diluted with four volumes of fresh medium. Afterwards, media were replenished at day 11 (as of day 4), day 14 (as of day 7), day 18 (as of day 4) and day 21 (as of day 7) following the procedure as of day 4 and day 7, respectively.

Cultivation of cells in bioreactors for a long-term 8-mL scale bioreactor study: Cells at an initial seeding density of 20,000 cells/mL were cultured in 8-mL scale bioreactors for three time intervals; (n=10) for 8 to 11 days, (n=15) for 12 to 14 days, and (n=3) for 15 to 22 days. For each bioreactor culture, cells were harvested when lactate production reached a plateau by completely rinsing with 400mL of Iscove’s Modified Dulbecco’s Medium (IMDM) (Invitrogen, Gibco) supplemented with penicillinstreptomycin (1%v/v) through the capillary cell compartment network at a flow rate of 20mL/min. During rinsing each bioreactor was vigorously shaken to enhance cell liberation from the capillary network. The harvested cell suspension was centrifuged (475 g, 8 min) and analyzed with respect to the cell yield, viability (using an Improved Neubauer hemacytometer with Trypan blue staining), and surface marker expression. Cell surface marker expression was determined by FACS using a variety of fluorescently labeled antibodies; CD34 fluorescein isothiocyanate- (present on HSCs), CD71 allophycocyanin- (proliferating marker during RBC development), CD45 and CD235a phycoerythrin- (present on RBCs) conjugated antibodies. Cells were also stained with a monomeric cyanine nucleic acid stain, TOPRO- 3 iodine, to determine enucleation (all flow cytometry reagents were obtained from BD Biosciences). Quantification of surface marker expression was conducted using a FACSVantage SE DiVa (Becton Dickinson, Franklin Lakes, NJ) flow cytometer and running DiVa v4.1.2 softwareC.

Measurement of metabolic parameters in bioreactors: The partial pressures of O2 and CO2 and the pH values in the recirculation medium were regularly measured using a blood gas analyzer (ABL 5 Blood Gas Analyzer, Copenhagen Radiometer, Copenhagen, Denmark), and the culture pH was maintained between 7.35 and 7.45 by adjusting the air: CO2 gas ratio on the perfusion system while maintaining the same overall gas flow rate. In parallel, lactate dehydrogenase (LDH) levels were monitored daily using a bioassay (QuantiChrom LDH Kit, BioAssay Systems) as an indirect measurement of cell viability. A culture showing decreasing metabolic activity, defined as a decrease in lactate production or an increase in LDH concentration, was used as a criterion to determine the harvest day for bioreactor cultures unless specific time points for harvest or passaging were required in the experimental plan.

Concentrations of glucose and lactate in samples from the culture perfusate were analyzed (YSI 2300 STAT Plus Glucose & Lactate Analyzer, USA) and the medium flow rate was adjusted, if necessary, by increasing from initially 1 mL/hr to a maximum feed rate of 4 mL/hr. The daily parameter assessment was calculated as mg/dL or U/d per 107 cells, if not otherwise indicated.

Statistical Analysis

Values are given as means ± standard error of the mean (SEM) in the text and in figures, if not otherwise indicated.

Results

Simulation of varying bioreactor feed rates and densities using 2D Transwell cultures results

The following conditions were compared as shown in Figures 3, 4, and 5: 1) 3,000 cells per mL density (3,000)/CCT Protocol (CG)/ Expansion (Exp), 2) 20,000 cells per mL density (20,000)/CG/Exp, 3) 3,000/Bioreactor Simulation (BR)/No Expansion (noExp), 4) 20,000/ BR/NoExp, 5) 3,000/BR/Exp, and 6) 20,000/BR/Exp. According to the Figure 3, results indicate that low density and high medium exchange results in higher expansion. Figure 4, results indicate that the trend is similar to results in Figure 3 in that low density and high medium exchange results in higher expansion. Interestingly, cultures expanding according to the CCT expansion protocol with cell removal results in higher expansion in this particular experiment. The trend is consistent again as Figure 5 results indicate that low density and high medium exchange results in higher expansion. Although low-density and high medium exchange results were favourable, we chose to use to use a density of 20,000 cells/mL for cell harvesting and long-term culture studies for scale-up volumetric practicality reasons. Furthermore, the Countess Automated Cell Counter has a lower limit of 1.0x105 cells/mL making cell counting at 3,000 cells/mL unfeasible.

archive-bone-marrow-research-cell-population-repeats

Figure 3: 2D transwell petri dish culture results. The results shown are for three independent cell population repeats and indicate low density and high medium exchange result in higher expansion. In two out of the three repeats, cell cultures reached logarithmic growth. The large SEM error bars shown in the graph resulted because one cell population repeat did not reach logarithmic growth. Bioreactor volumetric media simulation (BR), Celgene Cellular Therapeutics volumetric media protocol (CG), expansion (or passaging of cells) (Exp), no expansion (NoExp).

archive-bone-marrow-research-average-fold-expansion

Figure 4: Four-hour harvest of CD34+ HSC bioreactor recovery testing expansion results. The above graph shows the average fold expansion of CD34+ HSCs initially cultured for four hours in the 8-mL laboratory scale bioreactor and transferred to 2D plate cultures. The results are for a single cell population (pooled cells after harvest from four 8-mL scale bioreactors) with SEM error bars representing technical replicates.

archive-bone-marrow-research-Several-bioreactors

Figure 5: Average fold expansion in 8-mL laboratory scale bioreactor cultures. Several bioreactors were seeded with an initial density of 20,000 cells/mL and cultured for various periods of time to assess an optimal time point for cell harvest.

Four-hour harvest of CD34+ HSC bioreactor recovery testing results

A total of 1.6×105 cells (20,000 cells/mL) were inoculated into each of the four 8-mL bioreactors listed in Tables 4 and 5. The bioreactors were perfused for four hours according to the parameters listed in the Materials and Methods section and then harvested to determine total cell recovery, which is summarized below in Table 4. It can be readily seen that cell recovery from the bioreactors was somewhat variable in nature, ranging from 50-100% of the total amount of cells inoculated. Additionally, the viability differed somewhat between reactors and was generally lower than the measured viability of 82% prior to cell inoculation. The low viabilities are likely not able to be fully attributed to cell death since the cells were only in the reactors for a total of 4 hours. The limitations of the cell counting device could be responsible for some of the observed variability in these results. The lower limit of accuracy for the counting device is 1.0 × 105 cells/mL and a significant fraction of the counts that were performed were listed as ‘below accurate level’. When a sample is below this level the counts and viabilities can vary tremendously, even when measuring the same sample. It should be noted that harvest tests performed at CCT (results not shown) using an assay that can accurately count cells at very low densities (CyQuant, Invitrogen Molecular Probes, USA) demonstrated high cell recovery from bioreactors at low densities.

Bioreactor BR001 BR002 BR003 BR004
Total cell count 2.25 × 105 1.2 × 106 1.1 × 105 8.0 × 104
Live cell count 1.25 × 105 9.5 × 104 7.0 × 104 6.0 × 104
Dead cell count 1.0 × 105 3.0 × 104 3.0 × 104 2.5 × 104
Viability (%) 56.0 75.0 68.5 72.5
Number of 2D cells plated 8.0 × 104 (2 wells) 8.0 × 104 (2 wells) 4.0 × 104 (2 wells) 4.0 × 104 (2 wells)

Table 5: Four-hour harvest of CD34+ HSC bioreactor recovery results. Cell recovery from 8-mL laboratory scale bioreactors after 4 hours of perfusion culture with expansion and differentiation media. The recovered cells were then plated in 2D cultures and expanded for 14 days.

Previously published studies demonstrated high (> 90%) recovery of cells after culture. Given the variation that was observed in this study, the use of such an assay could have proven to be more reliable given the low cell inoculation density. That aside, it was shown that a significant fraction of the cells could be recovered from the bioreactors after short periods of culture time.

The recovered cells were then plated in 2D at a density of 20,000 cells/mL and the culture behavior over time was observed by cell counting. The rationale behind this methodology was to verify if the cells were damaged by either the inoculation or harvest procedures, which would result in decreased expansion when compared to a control culture containing cells that were not cultured in a bioreactor. The fold expansion results for these cultures can be seen in Figure 6.

archive-bone-marrow-research-FACS-data-8-mL

Figure 6: FACS data for 8-mL laboratory scale bioreactor cultures. Shown is FACS data for 8-mL laboratory scale bioreactors with initial 20,000 cells/ mL inoculation density. Cell suspensions were collected after each bioreactor harvest and analyzed for various FACS makers including CD34, CD71, CD45, CD235a, and CD235a + enucleation.

The orange curve in Figure 6 represents average of fold expansion values from the four bioreactors that were harvested after four hours of perfusion culture. It can clearly be seen that the cultures expanded very much to the same extent as the control culture that was plated with cells that were never in a bioreactor. Such an observation indicates that the cells were likely not damaged to a significant degree during either the inoculation or harvest procedures. Since a significant portion of the cells were recovered from the bioreactors and expanded accordingly in 2D, the reproducibility issues in the bioreactors likely do not stem from cell loss or cell damage issues.

8-mL scale laboratory scale bioreactor culture results

Based on fold expansions (Figure 7) the optimal time to harvest a bioreactor is approximately 14 days after inoculation with an initial HSC seeding density of 20,000 cells/mL. Bioreactors cultured longer than 14 days for the time period 15 to 22 days produced lower fold expansions. Such a result could be due to the differentiation medium and overexposure to the growth factors for an extended period of time or important factors secreted by the cells being washed away in the waste. FACS results (Figure 8) indicated that the CD34+ receptor no longer existed in any of the cell suspensions harvested from the bioreactors. Harvested cells at days 8-11, day 12-14, and 15-22 expressed the CD71 receptor at 86.7 ± 5.8%, 84.2 ± 7.0%, and 88.2 ± 2.4% respectively, which indicates many cells are still in a proliferative stage of erythropoiesis. Interestingly, the presence of the CD45 receptor, a common leukocyte antigen expressed on all nucleated HSCs, decreased consistently with longer culture time in the bioreactor (days 8-11: 95.0 ± 1.2%, days 12-14: 43.6 ± 17.7%, days 15-22: 8.3 ± 4.2%). Furthermore, harvested cells from the bioreactors expressed the CD235a receptor (present on mature RBCs) at 44.6 ± 18.5% for days 8-11, 57.4 ± 6.1% for days 12-14, and 28.3 ± 4.1% for days 15-22. Finally, several bioreactor cell cultures expressed the CD235a receptor and did not have a nucleus (days 8-11: 51.3 ± 15.9%, days 12-14: 19.9 ± 5.6%, days 15-22: 25.9 ± 1.1%), which indicates the cells possess RBC-like characteristics. Overall, flow cytometry results indicate that the bioreactor culture environment promoted differentiation of HSCs toward RBC lineages.

Discussion

Advances have been made towards the in vitro culture of hematopoietic stem cells (HSC), but culture processes have yet to be optimized for the production of red blood cells (RBC). A number of processes associated with variable efficiency of in vitro expansion and erythrogenic differentiation of HSCs must be enhanced. The expansion of cells in both 2D plate cultures and 3D perfusion culture techniques are affected by any variables, including initial cell inoculation density, cell density of expanding cells during culture, medium / nutrition exchange per day and medium supply / removal mode over the day, perfusion versus diffusion conditions in the cell environment, metabolite gradients, oxygen supply and gradients, and culture pH regulation and gradients (that is controlled by the oxygenator CO2 removal rate in case of bicarbonate buffered medium and integral oxygenation).

In a previous publication, feeding in 2D conventional cultures was performed with a medium change every 3-4 days, whereas when the 3D perfusion bioreactor was used, culture media feed continuously ranged from 1-4 mL/h (adjusted based on concentrations of glucose and lactate from the culture perfusate samples) [14]. The previous results using a four-compartment 3D perfusion bioreactor technology with integral oxygenation for the culture of HSCs towards RBC linages encouraged us to formulate and proceed with the following questions: First, was a more frequent medium exchange, as possible in dynamic bioreactor feed regime, affecting the cell expansion? Second, was the initial and/ or subsequent cell density affecting cell expansion? And, third, was frequent medium exchange affecting cell growth when cells are grown at different densities?

In a first set of experiments, we used a transwell plate culture model with simulated bioreactor conditions, as the associated high numbers of experiments could not realistically be performed in independent bioreactor runs. 2D transwell cultures can provide a simple tool for an initial understanding of density, feed regime, and expansion aspects between conventional 2D cultures and 3D bioreactor cultures. Overall, the results indicate that low density and high medium exchange results in more significant fold expansion rates. Interestingly, expansion factors differ strongly between cell donors/isolations but are consistent within a single cell population experiment. In one of the repeats, the cell did not enter logarithmic growth, but that was the case in the controls as well (data not shown). This indicates a strong impact of variables beyond the experimental conditions, such as donor, procurement, isolation and initial culture–suggesting that primary cultures derived from umbilical cord blood represent a suboptimal cell source for a larger scale RBC production. As the expansion factors did not differ as much within a single donor cell population used for each of the experimental groups, we assume that the overall outcome is acceptable, and therefore a cell density of 20,000 cells/mL was selected for the second experiment, a cell harvesting and long term 8-mL scale bioreactor study.

For the previously published experiments [14] and bioreactor studies described here, an 8 mL volume was used to calculate the initial seeding density because the bioreactor cell chamber entraps that volume. For example, if 1.6 × 105 cells are inoculated, the initial seeding density is 20,000 cells/mL [(1.6 × 105 cells)/(8 mL) = 20,000 cells/mL]. However, if the total circuit volume of approximately 55 mL medium (that circulates through the cell chamber) is considered for the calculation, the density reduces by approximately 7-fold. For example, if 1.6 × 105 cells are inoculated, the initial seeding density is instead 3,000 cells/mL [(1.6 × 105 cells)/(8 mL) = 3,000 cells/mL].

When translating findings from static 2D culture experiments into dynamic 3D perfusion bioreactor cultures, both density calculations should be considered because the bioreactor cultures may perhaps depend on soluble products of the cells that are likely diluted in the entire medium volume. Furthermore, the cell concentration within the cell chamber should be considered as cell-to-cell interactions and concentration of mediators around the cells are important aspects which can ultimately impact expansion and differentiation.

In the second independent experiment on excluding potential cell injuries during cell inoculation and harvesting into and from a bioreactor, HSCs could be effectively recovered from the 8-mL laboratory scale bioreactor systems after four hours of perfusion culture, and could subsequently be expanded in follow-up 2D plate cultures to the same degree as a control culture that was plated with cells that were never exposed to bioreactor conditions. Consequently, the mechanical impact during cell inoculation or harvest is unlikely to contribute to the discussed variability in culture results. However, there are many more variables in the in-bioreactor growth conditions, which could possibly contribute to a large variability in bioreactor cultures that we did not test.

In order to further improve cell production, in a third independent experiment, we used an 8-mL scale bioreactor with an initial cell seeding density of 20,000 cells/mL cell chamber volume. Increasing the expansion within one bioreactor while trying to extend the culture was possible, which is important for studies on further enhancing CD34+ to enhance differentiation towards RBC lineage. The approximate 1000- fold expansion result indicates that a suitable time to harvest from this bioreactor technology with its employed initial inoculation density and feed rate combination is approximately 2 weeks after inoculation. The initial seeding density appears to be a critical factor, as by decreasing the initial cell seeding density in the 8-mL bioreactor, we were able to improve the expansion by 10 fold as compared to our previous results [14].

Given the limitations in the number of CD34+ HSC yield per donor blood unit, we are able to isolate from one given cord blood unit on average 200,000 cells, a cell amount that allows for a manageable initial bioreactor seeding density. Based on the FACS analysis results, the 3D perfusion bioreactor conditions enhanced differentiation of HSCs towards RBC lineages. Again, the fold-expansion inconsistency between experiments in our opinion is mostly related to cord blood donor-to-donor variability. However, other technological aspects have to be considered, such as perfusion gradients due to cell sedimentation inside the bioreactor cultures. Such aspects could be further studied in modified bioreactors that would allow a semi-continuous sampling of small amounts of cells from different points in the culture space during the experiments. Overall, the three experiments led to the here described improved HSC Culture methods for high cell density hollow fiber membrane based 3D perfusion bioreactors.

Acknowledgements

This study was partially supported by grants from the National Institutes of Health (NIH R21 EB005739-01, J.G.), from the European Commission (EU STREPCT- 2005- 018940, J.G.) and from the Federal Ministry of Education and Research, Germany (BMBF, 0311591, K.Z.). We are grateful for the discussions, excellent technical support, and photographs from Patrick Over, Matthew Young, and Daniel McKeel, Dr. Marina Kameneva (all from the McGowan Institute for Regenerative Medicine), Dr. Xiaokui Zhang, Dr. Lin Kang, Vanessa Voskinarian-Berse, Dr. Stewart Abbot (all from CCT), and graphics from Wolfgang Mudra (Charité). We would also like to acknowledge the subcontract to Defense Advanced Research Projects Agency (DARPA) award FA9550- 08-1-0392.

Competing Interest Statement

The bioreactor prototypes were purchased from Stem Cell Systems GmbH, Berlin, Germany, a University spin-off of the Charité, Berlin. J.G. owns shares of the company. No other author has a financial interest in the company.

Author Contributions

G.H. designed and planned the study, conducted experiments, supervised, interpreted data, participated in data collection and data interpretation, and wrote the manuscript; T.M., E.S., and C.P. supervised, provided technical assistance during experiments, participated in data collection and data interpretation, and provided useful discussions; K.Z. contributed to bioreactor development and parameter characterization; J.G. designed and performed the study, supervised and performed system application, supervised data analysis, interpreted data, and wrote the manuscript.

References

  1. Zeuner A, Martelli F, Vaglio S, Federici G, Whitsett C (2012) Concise review: stem cell-derived erythrocytes as upcoming players in blood transfusion. Stem Cells 30: 1587–1596.
  2. Nava MM, Raimondi MT, Pietrabissa R (2012) Controlling Self-Renewal and Differentiation of Stem Cells via Mechanical Cues. J Biomed Biotechnol 1-12.
  3. Martinez-Agosto JA, Mikkola, HK, Hartenstein V, Banerjee U (2007) The hematopoietic stem cell and its niche: a comparative view. Genes Dev 21: 3044-3060.
  4. Douay L, Andreu G (2007) Ex vivo production of human red blood cells from hematopoietic stem cells: what is the future in transfusion. Transfus Med Rev 21: 91-100.
  5. Giarratana MC, Kobari L, Lapillonne H, Chalmers D, Kiger L, et al. (2005) Ex vivo generation of fully mature human red blood cells from hematopoietic stem cells. Nat Biotechnol 23: 69-74.
  6. Douay L (2010) From stem cells to red blood cells in vitro: "the 12 labors of hercules". Clin Lab Med 30 [2] 391-403.
  7. Migliaccio AR, Whitsett C, Migliaccio G (2009) Erythroid cells in vitro: from developmental biology to blood transfusion products. CurrOpinHematol 16: 259-268.
  8. Timmins NE, Nielsen LK (2009) Blood cell manufacture: current methods and future challenges. Trends Biotechnol 27: 415-422.
  9. Koller MR, Palsson BO (1993) Review: tissue engineering: reconstitution of human hematopoiesis ex vivo. BiotechnolBioeng 42: 909-930.
  10. Sullivan MT, Cotton R, Read EJ, Wallace EL (2007) Blood collection and transfusion in the United States in 2001. Transfusion 47: 385-394.
  11. Abbot S (2010) The three "R"s of blood transfusion in 2020; routine, reliable and robust. Clin Lab Med 30: 405-417.
  12. Gelderman MP, Vostal JG (2010) Current and future cellular transfusion products. Clin Lab Med 30: 443-452.
  13. U.S. Department of Health and Human Services (2011) The 2011 national blood collection and utilization survey report. Washington, DC: U.S 1-98.
  14. Housler GJ, Miki T, Schmelzer E, Pekor, Zhang X, et al. (2012) Compartmental hollow fiber capillary membrane based bioreactor technology for in vitro studies on red blood cell lineage direction of hematopoietic stem cells. Tissue Eng Part C Methods 18, 133-142.
  15. Hambor JE (2012) Bioreactor design and bioprocess controls for industrialized cell processing: bioengineering strategies and platform technologies. BioProcess International 10: 22-33.
  16. Migliaccio AR, Whitsett C, Papayannopoulou T, Sadelain M (2012) The potential of stem cells as an in vitro source of red blood cells for transfusion. Cell Stem Cell 10: 115-119.
  17. Gerlach JC, Encke J, Hole O, Muller C, Ryan CJ, et al (1994) Bioreactor for a larger scale hepatocyte in vitro perfusion. Transplantation 58, 984-988.
  18. Gerlach JC, Mutig K, Sauer IM, Schrade P, Efimova E, et al. (2003) Use of primary human liver cells originating from discarded grafts in a bioreactor for liver support therapy and the prospects of culturing adult liver stem cells in bioreactors: a morphologic study. Transplantation 76: 781-786.
  19. Schmelzer E, Mutig K, Schrade P, Bachmann S, Gerlach JC, et al. (2009) Effect of human patient plasma ex vivo treatment on gene expression and progenitor cell activation of primary human liver cells in multi-compartment 3d perfusion bioreactors for extracorporeal liver support. BiotechnolBioeng 103: 817-827.
Citation: Housler GJ, Pekor C, Miki T, Schmelzer E, Zeilinger K, et al. (2014) 3-D Perfusion Bioreactor Process Optimization for CD34+ Hematopoietic Stem Cell Culture and Differentiation towards Red Blood Cell Lineage. J Bone Marrow Res 2:150.

Copyright: © 2014 Housler GJ, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Top