Different approaches have been proposed to identify or deplete mouse cells from xenografted human tumors, for example a combination of mouse-specific antibodies against CD45 and MHC class I. However, only subpopulations of mouse cells were detected using these combinations whereas the proposed combination detected CD45 and MHC class I expressing mouse cells as well as the rest of the mouse cells found in target tissues for transplantation (Figure 1). Utilizing this novel combination of antibodies for magnetic cell sorting, human tumor cells could be isolated independent of tumor type (Figure 2).
Cells obtained from magnetic cell separation procedure-based mouse cell removal could be cultured, leading to pure cultures of human tumor cells (Figure 4). In addition, viable mouse cells could be obtained and cultured from the same sample. Besides removal of mouse cells, also debris was removed upon mouse cell depletion (MCD) (Figure 3).
The comprehensive depletion of mouse cells as well as debris removal lead to improved molecular downstream analyses. This was demonstrated by comparing results obtained from whole exome sequencing (WES) carried out on bulk tumor pieces and mouse cell depleted samples from three different patient-derived xenograft tumor models (Figures 5 - 9). Our data indicate that the removal of mouse cells before performing WES on xenograft tumor samples not only significantly increases the total amount of reads (Figure 5) but also considerably reduces the number of host derived reads mapped to the human reference genome (Figure 6B). As these erroneously mapped mouse reads frequently interfere with SNP calling, we observed a strong reduction of falsely predicted SNPs after MCD (Figures 7 - 8). Finally, we showed that the in silico removal of mouse-derived reads by bioinformatics methods could not fully replace the experimental procedure, as an unambiguous sequence-based assignment to the species of origin was not possible for all reads. Furthermore, the in silico procedure could not correct for the enhanced quality and concomitant higher read coverage of the in vitro depleted samples (Figure 9).

Figure 1. Establishing an Antibody Cocktail Recognizing All Mouse Cells across Multiple Organs14. Screenings in multiple organs, including skin, lung, brain, kidney and skeletal muscle, have been performed. These organs represent major target tissues for xenotransplantation. Combinations such as those recognizing mouse CD45 and MHC class I epitopes have already been used in order to deplete mouse cells after xenotransplantation. However, these marker combinations recognized only a subset of mouse cells in all analyzed tissues. In previous screenings a combination of five antibodies has been identified allowing for the comprehensive detection of all cells from mouse origin. This panel includes red blood cells and is independent of the tissue of origin (A, B, and data not shown). Modified from14. Please click here to view a larger version of this figure.

Figure 2. Reliable and Fast Depletion of Mouse Cells15. Conjugates of the antibody combination with superparamagnetic nanoparticles were used to develop an optimized protocol for depletion of mouse cells from human tumor xenografts by magnetic cell sorting (magnetic cell separation) (A). This novel protocol allowed for the elimination of > 99% of contaminating mouse cells in less than 20 min, irrespective of the tumor type. Cell fractions obtained from magnetic cell separation procedure were labeled with the pan-mouse antibody cocktail and a human specific antibody against CD326 (EpCAM) (B). Modified from15. Please click here to view a larger version of this figure.

Figure 3. Isolation of Human Glioblastoma Cells. Mouse Cell Depletion Kit was used to isolate human glioblastoma cells from adult mouse brain. During dissociation of neural tissue high amounts of debris is commonly generated. MCDK efficiently depletes dead cells and debris as seen by the plot showing cell size versus cell granularity. With this conjugate cocktail, it was possible to eliminate > 99% of the contaminating mouse cells and > 60% of the debris. Please click here to view a larger version of this figure.

Figure 4. Depletion of Mouse Cells Facilitates Downstream Cultures of Human Tumor Cells14. Mouse fibroblasts frequently hamper the cultivation of human tumor cells after dissociation of transplanted tissues or lead to heterogeneous cultures. Fibroblasts attach and expand more efficiently, thereby overgrowing target cells. This perturbs in vitro cell culture assays (e.g., drug cytotoxicity testing), since mathematical correction for effects arising from contaminating mouse cells is impossible in most cases. The negative (B) and positive fractions (C) after mouse cell depletion were cultured for three days, fixed and stained for a mouse-specific fibroblast marker (Vimentin) and the human-specific tumor marker CD326 (EpCAM). As a control, the original fraction containing unseparated cells (A) was cultured and stained as well. Even after three days of culture, a nearly pure population of human tumor cells was observed in the negative fraction (B), whereas the unsorted fraction (A) was almost overgrown by fibroblasts. Only a minor portion of target cells was lost to the positive fraction (C). Modified from14. Please click here to view a larger version of this figure.

Figure 5. Whole Exome Sequencing (WES) of Tumor Samples Prior to and after Mouse Cell Depletion (MCD)15. We conducted WES on three different xenograft models derived from human kidney, lung and bladder cancer in order to assess the impact of MCD on the quality of next-generation sequencing data. DNA from bulk tumor and from isolated tumor cells after mouse cell depletion was used to generate exome-captured sequencing libraries applying an exome capture kit. For sequencing on a desktop sequencer instrument, a desktop sequencer reagent kit 150 cycles, was utilized to generate 75-bp paired-end reads. A significant increase (p < 0.05) in cluster density (A) as well as an average increase in read counts of 33% (B) was observed for the samples depleted of mouse cells, indicating improved sample quality. Correspondingly, a strong reduction of debris and dead cells upon MCD could also be demonstrated by flow cytometry analysis (see Figure 3). Modified from15. Please click here to view a larger version of this figure.

Figure 6. Mouse Cell Depletion (MCD) Strongly Reduces Number of Erroneously Mapped Mouse Reads after Whole Exome Sequencing (WES)15. As capture oligonucleotides used for targeted enrichment of protein-coding sequences were designed based on the human genome, an initial pre-enrichment of DNA fragments of human origin from the mixture of mouse and human cells was expected. In order to assess the number of capture oligonucleotides that might cross-hybridize with mouse genomic DNA, we conducted BLAST searches of each single rapid capture exome probe against mouse genome. The resulting alignment parameters were used to determine possible cross-hybridization. Depending on the selection thresholds (alignment length, no. of mismatches, no. of gaps), we predicted a cross-reactivity of 5 - 10% of capture probes with mouse transcripts (data not shown). After adapter clipping (trimmomatic v0.3216), we mapped the reads of all samples against human and mouse genomes (bwa v0.7.1217) and determined their putative origin based on the respective alignment parameters (LINUX shell, command-line Perl) (A). An average of 12% of reads derived from bulk tumor samples was attributed to mouse cells. This amount could be reduced to 0.3% by prior depletion of mouse cells (B). As on average 15% of the mouse-derived reads mapped erroneously to the human genome, corresponding to 1.9% of total reads in the bulk tumor samples and 0.04% in the isolated tumor cells, a strong positive influence of mouse cell depletion on downstream analyses can be expected. Figure 6B exemplifies the detailed read assignment for bulk tumor and isolated human tumor cells derived from the bladder cancer xenograft. Modified from15. Please click here to view a larger version of this figure.

Figure 7. MCD Strongly Reduces the Number of Falsely Predicted SNPs15. In order to determine the impact of mouse reads mapped to the human genome, we determined the number of predicted SNPs for the xenograft samples prior to and after MCD. As no healthy tissue was available for comparison, a SNP was defined as a difference between the sequenced sample and the reference genome (hg19). After removal of duplicate reads, SNP and INDEL calling was conducted18 and was restricted to the regions targeted by an exome capture kit. 63 ± 10% of all SNPs predicted for the bulk tumor samples were no longer detected after mouse cell depletion, 18 ± 1% were specific for the isolated human tumor cells (A). While the former were mainly caused by erroneously mapped mouse reads the latter seemed to be detected due to higher read counts and accordingly higher coverage within the isolated human tumor cell samples. This effect was also visible for predicted INDELs (B). Modified from15. Please click here to view a larger version of this figure.

Figure 8. MCD Improves the Prediction of High-impact SNPs15. (A) Impact of MCD on SNP prediction within a protein-coding exon of the POLA1 gene19 is exemplified. While erroneously mapped mouse reads caused a number of falsely predicted SNPs in the bulk kidney cancer xenograft, these SNPs were missing after MCD. In addition, MCD also improved the prediction of high-impact SNPs. For example, mouse reads mapped to the human reference genome in the bulk tumor sample resulted in the wrongly predicted destruction of the start codon of the GRIA3 gene (B). Modified from15. Please click here to view a larger version of this figure.

Figure 9. In Silico Depletion of Mouse-derived Reads Cannot Fully Replace In Vitro MCD15. The reads predicted to be of mouse origin were computationally removed from the sequencing data, and SNP calling was repeated. By this approach, the number of SNPs predicted for the bulk tumor samples was considerably reduced from 63% to 8.5% of the total number of SNPs (compare with Figure 8). However, this in silico approach could not completely replace in vitro MCD, especially if the improved sample quality and the concomitant increase in read counts and coverage are considered. Modified from15. Please click here to view a larger version of this figure.