Migratory Tumor Cells Cooperate with Cancer Associated Fibroblasts in Hormone Receptor-Positive and HER2-Negative Breast Cancer.

Hormone receptor-positive and HER2-negative breast cancer (HR+/HER2-BC) is the most common type with a favorable prognosis under endocrine therapy. However, it still demonstrates unpredictable progression and recurrences influenced by high tumoral diversity and microenvironmental status. To address these heterogeneous molecular characteristics of HR+/HER2-BC, we aimed to simultaneously characterize its transcriptomic landscape and genetic architecture at the same resolution. Using advanced single-cell RNA and DNA sequencing techniques together, we defined four distinct tumor subtypes. Notably, the migratory tumor subtype was closely linked to genomic alterations of EGFR, related to the tumor-promoting behavior of IL6-positive inflammatory tumor-associated fibroblast, and contributing to poor prognosis. Our study comprehensively utilizes integrated analysis to uncover the complex dynamics of this breast cancer subtype, highlighting the pivotal role of the migratory tumor subtype in influencing surrounding cells. This sheds light on potential therapeutic targets by offering enhanced insights for HR+/HER2-BC treatment.

SIDR: simultaneous isolation and parallel sequencing of genomic DNA and total RNA from single cells.

Simultaneous sequencing of the genome and transcriptome at the single-cell level is a powerful tool for characterizing genomic and transcriptomic variation and revealing correlative relationships. However, it remains technically challenging to analyze both the genome and transcriptome in the same cell. Here, we report a novel method for simultaneous isolation of genomic DNA and total RNA (SIDR) from single cells, achieving high recovery rates with minimal cross-contamination, as is crucial for accurate description and integration of the single-cell genome and transcriptome. For reliable and efficient separation of genomic DNA and total RNA from single cells, the method uses hypotonic lysis to preserve nuclear lamina integrity and subsequently captures the cell lysate using antibody-conjugated magnetic microbeads. Evaluating the performance of this method using real-time PCR demonstrated that it efficiently recovered genomic DNA and total RNA. Thorough data quality assessments showed that DNA and RNA simultaneously fractionated by the SIDR method were suitable for genome and transcriptome sequencing analysis at the single-cell level. The integration of single-cell genome and transcriptome sequencing by SIDR (SIDR-seq) showed that genetic alterations, such as copy-number and single-nucleotide variations, were more accurately captured by single-cell SIDR-seq compared with conventional single-cell RNA-seq, although copy-number variations positively correlated with the corresponding gene expression levels. These results suggest that SIDR-seq is potentially a powerful tool to reveal genetic heterogeneity and phenotypic information inferred from gene expression patterns at the single-cell level.

Fully automated circulating tumor cell isolation platform with large-volume capacity based on lab-on-a-disc.

Full automation with high purity for circulating tumor cell (CTC) isolation has been regarded as a key goal to make CTC analysis a "bench-to-bedside" technology. Here, we have developed a novel centrifugal microfluidic platform that can isolate the rare cells from a large volume of whole blood. To isolate CTCs from whole blood, we introduce a disc device having the biggest sample capacity as well as manipulating blood cells for the first time. The fully automated disc platform could handle 5 mL of blood by designing the blood chamber having a triangular obstacle structure (TOS) with lateral direction. To guarantee high purity that enables molecular analysis with the rare cells, CTCs were bound to the microbeads covered with anti-EpCAM to discriminate density between CTCs and blood cells and the CTCs being heavier than blood cells were only settled under a density gradient medium (DGM) layer. To understand the movement of CTCs under centrifugal force, we performed computational fluid dynamics simulation and found that their major trajectories were the boundary walls of the DGM chamber, thereby optimizing the chamber design. After whole blood was inserted into the blood chamber of the disc platform, size- and density-amplified cancer cells were isolated within 78 min, with minimal contamination as much as approximately 12 leukocytes per milliliter. As a model of molecular analysis toward personalized cancer treatment, we performed epidermal growth factor receptor (EGFR) mutation analysis with HCC827 lung cancer cells and the isolated cells were then successfully detected for the mutation by PCR clamping and direct sequencing.

A stress-responsive Escherichia coli protein, CysQ is a highly effective solubility enhancer for aggregation-prone heterologous proteins.

When used as an N-terminal fusion expression partner, the Escherichia coli stress-responsive protein, CysQ dramatically increased the cytoplasmic solubility of various aggregation-prone heterologous proteins: Pseudomonas putida cutinase (CUT), human granulocyte colony-stimulating factor (hG-CSF), human ferritin light chain (hFTN-L), arginine deiminase (ADI), human interleukin-2 (IL2), human activation induced cytidine deaminase (AID), and deletion mutant of human glutamate decarboxylase (GAD448-585). As compared with well-known fusion tags such as glutathione-S-transferase (GST) and maltose-binding protein (MBP), the performance of CysQ as solubility enhancer was evidently better than GST and was similar to or better than MBP for the seven heterologous proteins above. This is likely due to the intrinsic ability of CysQ to form its native conformation, probably promoting the binding of molecular chaperones during the folding of CysQ-fusion protein. When used as a substrate, p-nitrophenyl butyrate (PNB) was successfully hydrolyzed to p-nitrophenol by CysQ-CUT fusion mutant. Even after CysQ was removed, the solubility of hFTN-L and hG-CSF, the secondary structure of hG-CSF, and self-assembly activity of hFTN-L were successfully maintained. Conclusively, it seems that CysQ is a highly effective solubility enhancer and fusion expression partner for the production of a variety of bio-active recombinant proteins.

Machine learning model for circulating tumor DNA detection in chronic obstructive pulmonary disease patients with lung cancer.

Background: Patients with chronic obstructive pulmonary disease (COPD) have a high risk of developing lung cancer. Due to the high rates of complications from invasive diagnostic procedures in this population, detecting circulating tumor DNA (ctDNA) as a non-invasive method might be useful. However, clinical characteristics that are predictive of ctDNA mutation detection remain incompletely understood. This study aimed to investigate factors associated with ctDNA detection in COPD patients with lung cancer. Methods: Herein, 177 patients with COPD and lung cancer were prospectively recruited. Plasma ctDNA was genotyped using targeted deep sequencing. Comprehensive clinical variables were collected, including the emphysema index (EI), using chest computed tomography. Machine learning models were constructed to predict ctDNA detection. Results: At least one ctDNA mutation was detected in 54 (30.5%) patients. After adjustment for potential confounders, tumor stage, C-reactive protein (CRP) level, and milder emphysema were independently associated with ctDNA detection. An increase of 1% in the EI was associated with a 7% decrease in the odds of ctDNA detection (adjusted odds ratio =0.933; 95% confidence interval: 0.857-0.999; P=0.047). Machine learning models composed of multiple clinical factors predicted individuals with ctDNA mutations at high performance (AUC =0.774). Conclusions: ctDNA mutations were likely to be observed in COPD patients with lung cancer who had an advanced clinical stage, high CRP level, or milder emphysema. This was validated in machine learning models with high accuracy. Further prospective studies are required to validate the clinical utility of our findings.

Comprehensive profiling of DNA methylation in Korean patients with colorectal cancer.

Alterations in DNA methylation play an important pathophysiological role in the development and progression of colorectal cancer. We comprehensively profiled DNA methylation alterations in 165 Korean patients with colorectal cancer (CRC), and conducted an in-depth investigation of cancer-specific methylation patterns. Our analysis of the tumor samples revealed a significant presence of hypomethylated probes, primarily within the gene body regions; few hypermethylated sites were observed, which were mostly enriched in promoter-like and CpG island regions. The CpG Island Methylator PhenotypeHigh (CIMP-H) exhibited notable enrichment of microsatellite instability-high (MSI-H). Additionally, our findings indicated a significant correlation between methylation of the MLH1 gene and MSI-H status. Furthermore, we found that the CIMP-H had a higher tendency to affect the right-side of the colon tissues and was slightly more prevalent among older patients. Through our methylome profile analysis, we successfully verified the thylation patterns and clinical characteristics of Korean patients with CRC. This valuable dataset lays a strong foundation for exploring novel molecular insights and potential therapeutic targets for the treatment of CRC. [BMB Reports 2024; 57(2): 110-115].

Single-nucleotide variant calling in single-cell sequencing data with Monopogen.

Single-cell omics technologies enable molecular characterization of diverse cell types and states, but how the resulting transcriptional and epigenetic profiles depend on the cell's genetic background remains understudied. We describe Monopogen, a computational tool to detect single-nucleotide variants (SNVs) from single-cell sequencing data. Monopogen leverages linkage disequilibrium from external reference panels to identify germline SNVs and detects putative somatic SNVs using allele cosegregating patterns at the cell population level. It can identify 100 K to 3 M germline SNVs achieving a genotyping accuracy of 95%, together with hundreds of putative somatic SNVs. Monopogen-derived genotypes enable global and local ancestry inference and identification of admixed samples. It identifies variants associated with cardiomyocyte metabolic levels and epigenomic programs. It also improves putative somatic SNV detection that enables clonal lineage tracing in primary human clonal hematopoiesis. Monopogen brings together population genetics, cell lineage tracing and single-cell omics to uncover genetic determinants of cellular processes.

The N-domain of Escherichia coli phosphoglycerate kinase is a novel fusion partner to express aggregation-prone heterologous proteins.

As a fusion partner to express aggregation-prone heterologous proteins, we investigated the efficacy of Escherichia coli phosphoglycerate kinase (ePGK) that consists of two functional domains (N- and C-domain) and reportedly has a high structural stability. When the full-length ePGK (F-ePGK) was used as a fusion partner, the solubility of the heterologous proteins increased, but some of them still had a large fraction of insoluble aggregates. Surprisingly, the fusion expression using the N-domain of ePGK (N-ePGK) made the insoluble fraction significantly reduce to less than 10% for all the heterologous fusion proteins tested. Also, we evaluated the efficacy of N-ePGK in making the target proteins be expressed with their own native function or structure. It was found that of human ferritin light chain, bacterial arginine deiminase, human granulocyte colony stimulating factor were synthesized evidently with the self-assembly function, L-arginine-degrading activity, and the correct secondary structure, respectively, through the fusion expression using N-ePGK. These results indicate that N-ePGK is a highly potent fusion partner that can be widely used for the synthesis of a variety of heterologous proteins in E. coli.

Sensitive and simultaneous detection of cardiac markers in human serum using surface acoustic wave immunosensor.

We present a rapid and sensitive surface acoustic wave (SAW) immunosensor that utilizes gold staining as a signal enhancement method. A sandwich immunoassay was performed on sensing area of the SAW sensor, which could specifically capture and detect cardiac markers (cardiac troponin I (cTnI), creatine kinase (CK)-MB, and myoglobin). The analytes in human serum were captured on gold nanoparticles (AuNPs) that were conjugated in advance with detection antibodies. Introduction of these complexes to the capture antibody-immobilized sensor surface resulted in a classic AuNP-based sandwich immunoassay format that has been used for signal amplification. In order to achieve further signal enhancement, a gold staining method was performed, which demonstrated that it is possible to obtain gold staining-mediated signal augmentation on a mass-sensitive device. The sensor response due to gold staining varied as a function of cardiac marker concentration. We also investigated effects of increasing operating frequency on sensor responses. Results showed that detection limit of the SAW sensor could be further improved by increasing the operating frequency.

Functional fusion mutant of Candida antarctica lipase B (CalB) expressed in Escherichia coli.

Candida antarctica lipase B (CalB) was functionally expressed in the cytoplasm of Escherichia coli Origami(DE3) with the N-terminus fusion of E. coli endogenous proteins. The previously-identified stress responsive proteins through comparative proteome analyses such as malate dehydrogenase (Mdh), spermidine/putrescine-binding periplasmic protein (PotD), and FKBP-type peptidyl-prolyl cis-trans isomerase (PPIases) (SlyD) dramatically increased the solubility of CalB in E. coli cytoplasm when used as N-terminus fusion partners. We demonstrated that Mdh, PotD, and SlyD were powerful solubility enhancers that presumably facilitated the protein folding of CalB. Moreover, among the various fusion mutants, Mdh-CalB showed the highest hydrolytic activity and was as biologically active as standard CalB. Similarly to the previous report, the electrophoretic properties of CalB indicate that CalB seems to form dimer-based oligomer structures. We evaluated the structural compatibility between the fusion partner protein and CalB, which seems to be of crucial importance upon the bioactive dimer formation of CalB and might affect the substrate accessibility to the enzyme active site, thereby determining the biological activities of the fusion mutants.

Transport proteins PotD and Crr of Escherichia coli, novel fusion partners for heterologous protein expression.

The Escherichia coli proteome response to the stressor GdnHCl was analyzed through 2-dimensional gel electrophoresis (2-DE). We identified PotD (spermidine/putrescine-binding periplasmic protein) and Crr [glucose-specific phosphotransferase (PTS) enzyme IIA component] as a stress-responsive protein. Even under a stress situation where the total number of soluble proteins decreased by about 10%, 3.5- and 2.2-fold increase was observed in the synthesis of PotD and Crr, respectively. As fusion partners, PotD and Crr dramatically increased the solubility of many aggregation-prone heterologous proteins [e.g. human minipro-insulin (mp-INS), human epidermal growth factor (EGF), human prepro-ghrelin (ppGRN), human interleukin-2(hIL-2), human activation induced cytidine deaminase (AID), human glutamate decarboxylase (GAD(448-585)), Pseudomonas putida cutinase (CUT), human ferritin light chain (hFTN-L), human granulocyte colony-stimulating factor (G-CSF), and cold autoinflammatory syndrome1 protein (NALP3) Nacht domain (NACHT)] in the E. coli cytoplasm. Presumably PotD and Crr were very effective in shielding interactive surfaces of heterologous proteins associated with non-specific protein-protein interactions leading to the formation of inclusion bodies most likely due to intrinsic high folding efficiency, chaperone-like activity, or a combination of both factors. Both the stress-induced proteins were well suited for the production of a biologically active fusion mutant of P. putida cutinase that can be expected to be of biotechnological and commercial interest.

Solubility enhancement of aggregation-prone heterologous proteins by fusion expression using stress-responsive Escherichia coli protein, RpoS.

BACKGROUND: The most efficient method for enhancing solubility of recombinant proteins appears to use the fusion expression partners. Although commercial fusion partners including maltose binding protein and glutathione-S-transferase have shown good performance in enhancing the solubility, they cannot be used for the proprietory production of commercially value-added proteins and likely cannot serve as universal helpers to solve all protein solubility and folding issues. Thus, novel fusion partners will continue to be developed through systematic investigations including proteome mining presented in this study. RESULTS: We analyzed the Escherichia coli proteome response to the exogenous stress of guanidine hydrochloride using 2-dimensional gel electrophoresis and found that RpoS (RNA polymerase sigma factor) was significantly stress responsive. While under the stress condition the total number of soluble proteins decreased by about 7 %, but a 6-fold increase in the level of RpoS was observed, indicating that RpoS is a stress-induced protein. As an N-terminus fusion expression partner, RpoS increased significantly the solubility of many aggregation-prone heterologous proteins in E. coli cytoplasm, indicating that RpoS is a very effective solubility enhancer for the synthesis of many recombinant proteins. RpoS was also well suited for the production of a biologically active fusion mutant of Pseudomonas putida cutinase. CONCLUSION: RpoS is highly effective as a strong solubility enhancer for aggregation-prone heterologous proteins when it is used as a fusion expression partner in an E. coli expression system. The results of these findings may, therefore, be useful in the production of other biologically active industrial enzymes, as successfully demonstrated by cutinase.

A novel approach to ultrasensitive diagnosis using supramolecular protein nanoparticles.

We report on the ultrasensitive protein nanoprobe system that specifically captures disease marker (autoantibodies of Type I diabetes in this case) with attomolar sensitivity. The system relies on supramolecular protein nanoparticles that bind a specific antibody [65 kDa glutamate decarboxylase (GAD65)-specific autoantibody, i.e., the early marker of Type I diabetes]. The ultrasensitive detection of early marker of Type I diabetes during the early phase of pancreatic beta-cell destruction is important because individuals at high risk of developing Type I diabetes can be identified several years before the clinical onset of the ailment. The bacterial expression of chimera genes encoding N-[human ferritin heavy chain (hFTN-H)]::[specific antigenic epitope]-C produces supramolecular nanoparticles with uniform diameters (10-15 nm), owing to self-assembly activity of hFTN-H. Each nanoparticle, formed by intermolecular self-assembly between the chimera protein molecules, is subjected to carrying a large number (presumably, 24) of epitopes with a homogeneous and stable conformation per autoantibody binding, thereby allowing substantial enhancement of sensitivity. The sensitivity was finally boosted to 3 attomolar concentration of the autoantibodies, 4-9 orders of magnitude more sensitive than conventional immunoassays. Also, this ultrasensitive protein nanoprobe successfully detected natural autoantibodies in the sera from Type I diabetic patients. The attomolar sensitivity was successfully reproduced on the detection of other antibodies, i.e., monoclonal antibodies against hepatitis B surface antigen. With the two antibody markers above, the feasibility of simultaneous and multiplexing-mode detection was also demonstrated.

Inertial-ordering-assisted droplet microfluidics for high-throughput single-cell RNA-sequencing.

Single-cell RNA-seq reveals the cellular heterogeneity inherent in the population of cells, which is very important in many clinical and research applications. Recent advances in droplet microfluidics have achieved the automatic isolation, lysis, and labeling of single cells in droplet compartments without complex instrumentation. However, barcoding errors occurring in the cell encapsulation process because of the multiple-beads-in-droplet and insufficient throughput because of the low concentration of beads for avoiding multiple-beads-in-a-droplet remain important challenges for precise and efficient expression profiling of single cells. In this study, we developed a new droplet-based microfluidic platform that significantly improved the throughput while reducing barcoding errors through deterministic encapsulation of inertially ordered beads. Highly concentrated beads containing oligonucleotide barcodes were spontaneously ordered in a spiral channel by an inertial effect, which were in turn encapsulated in droplets one-by-one, while cells were simultaneously encapsulated in the droplets. The deterministic encapsulation of beads resulted in a high fraction of single-bead-in-a-droplet and rare multiple-beads-in-a-droplet although the bead concentration increased to 1000 µl-1, which diminished barcoding errors and enabled accurate high-throughput barcoding. We successfully validated our device with single-cell RNA-seq. In addition, we found that multiple-beads-in-a-droplet, generated using a normal Drop-Seq device with a high concentration of beads, underestimated transcript numbers and overestimated cell numbers. This accurate high-throughput platform can expand the capability and practicality of Drop-Seq in single-cell analysis.

Solubilization of aggregation-prone heterologous proteins by covalent fusion of stress-responsive Escherichia coli protein, SlyD.

The proteome profile of Escherichia coli BL21(DE3) generated in response to heat shock stress was analyzed by two-dimensional electrophoresis (2-DE), wherein we identified a FKBP-type peptidyl-prolyl cis-trans isomerse (PPIases), SlyD, as a stress-responsive (i.e. aggregation-resistant) protein. Even under an imposed severe stress condition where 29 out of 858 soluble proteins were totally eliminated and the synthesis levels of 171 proteins decreased over 5-fold, a 3.37-fold increase induced by heat shock treatment was observed in the synthesis level of SlyD compared with a non-stress condition. As a fusion partner, as well as solubility enhancer, SlyD facilitated folding and significantly increased the solubility of many aggregation-prone heterologous proteins in E. coli cytoplasm. SlyD was very effective in sequestering interactive surfaces of heterologous proteins associated with non-specific protein-protein interactions and the formation of inclusion bodies, most likely as a result of intrinsic folding efficiencies and/or chaperone-like activities. SlyD was also shown to be suitable for the production of a biologically active fusion mutant of Pseudomonas putida cutinase that is of considerable biotechnological and commercial interest.

Enhanced solubility of heterologous proteins by fusion expression using stress-induced Escherichia coli protein, Tsf.

Through two-dimensional electrophoresis, Escherichia coli proteome response to a protein denaturant, guanidine hydrochloride, was analyzed and elongation factor Ts (Tsf) detected as a stress-induced protein. Many host proteins aggregated, or their synthesis levels decreased significantly under conditions of protein denaturation as 34 out of 699 soluble proteins knocked out and 63 proteins decreased by over 2.5-fold. Interestingly, the expression level of Tsf increased 1.61-fold compared with a nonstress condition. Contrary to direct expression, various heterologous proteins were solubly expressed in E. coli when subjected to N-terminus fusions of Tsf. Owing most likely to an intrinsic high folding efficiency, Tsf seemed to play critical roles in sequestering interactive surfaces of heterologous proteins from nonspecific protein-protein interactions leading to formation of inclusion bodies. It has been also demonstrated that Tsf is effective in aiding the production of a biologically active bacterial cutinase, which could be of interest to biotechnology and commercial applications.

Heterologous gene expression using self-assembled supra-molecules with high affinity for HSP70 chaperone.

Contrary to the results of direct expression, various human proteins (ferritin light-chain, epithermal growth factor, interleukin-2, prepro-ghrelin, deletion mutants of glutamate decarboxylase and arginine deiminase, and mini-proinsulin) were all soluble in Escherichia coli cytoplasm when expressed with the N-terminus fusion of ferritin heavy-chain (FTN-H). Through systematic investigations, we have found that a specific peptide motif within FTN-H has a high affinity to HSP70 chaperone DnaK, and that the peptide motif was composed of a hydrophobic core of three residues (Ile, Phe and Leu) and two flanking regions enriched with polar residues (Gly, Gln and Arg). It was also observed that all the recombinant proteins expressed with the fusion of FTN-H formed spherical nanoparticles with diameters of 10-15 nm, as confirmed by the transmission electron microscopy image. The protein nanoparticles are non-covalently cross-linked supra-molecules formed by the self-assembly function of FTN-H. Upon the formation of the supra-molecule, its size is likely to be limited by the assembly properties of FTN-H, thereby keeping the self-assembled particles soluble. This study reports on the dual function of FTN-H for fusion expression and solubility enhancement of heterologous proteins: (i) high-affinity interaction with DnaK and (ii) formation of self-assembled supra-molecules with limited and constant sizes, thereby avoiding the undesirable formation of insoluble macro-aggregates of heterologous proteins.

Highly dense, optically inactive silica microbeads for the isolation and identification of circulating tumor cells.

Efficient isolation of circulating tumor cells (CTCs) from whole blood is a major challenge for the clinical application of CTCs. Here, we report an efficient method to isolate CTCs from whole blood using highly dense and transparent silica microbeads. The surfaces of silica microbeads were fully covered with an antibody to capture CTCs, and blocked by zwitterionic moieties to prevent the non-specific adsorption of blood cells. Owing to the high density of the silica microbeads, the complexation of CTCs with silica microbeads resulted in the efficient sedimentation of CTC-microbead complexes, which enabled their discrimination from other blood cells in density gradient media. Model CTCs (MCF-7, HCC827, and SHP-77) with various levels of epithelial cell adhesion molecule (EpCAM) were isolated efficiently, especially those with low EpCAM expression (SHP-77). Moreover, the transparency of silica microbeads enabled CTCs to be clearly identified without interference caused by microbeads. The improved sensitivity resulted in increased CTC recovery from patient samples compared with the FDA-approved CellSearch system (14/15 using our method; 5/15 using the CellSearch system). These results indicate that the isolation method described in this report constitutes a powerful tool for the isolation of CTCs from whole blood, which has important applications in clinical practice.

Vertical Magnetic Separation of Circulating Tumor Cells for Somatic Genomic-Alteration Analysis in Lung Cancer Patients.

Efficient isolation and genetic analysis of circulating tumor cells (CTCs) from cancer patients' blood is a critical step for clinical applications using CTCs. Here, we report a novel CTC-isolation method and subsequent genetic analysis. CTCs from the blood were complexed with magnetic beads coated with antibodies against the epithelial cell adhesion molecule (EpCAM) and separated vertically on a density-gradient medium in a modified well-plate. The recovery rate of model CTCs was reasonable and the cell purity was enhanced dramatically when compared to those parameters obtained using a conventional magnetic isolation method. CTCs were recovered from an increased number of patient samples using our magnetic system vs. the FDA-approved CellSearch system (100% vs. 33%, respectively). In 8 of 13 cases, targeted deep sequencing analysis of CTCs revealed private point mutations present in CTCs but not in matched tumor samples and white blood cells (WBCs), which was also validated by droplet digital PCR. Copy-number alterations in CTCs were also observed in the corresponding tumor tissues for some patients. In this report, we showed that CTCs isolated by the EpCAM-based method had complex and diverse genetic features that were similar to those of tumor samples in some, but not all, cases.

Escherichia coli EDA is a novel fusion expression partner to improve solubility of aggregation-prone heterologous proteins.

Since the use of solubility enhancer proteins is one of the effective methods to produce active recombinant proteins within Escherichia coli, the development of a novel fusion expression partner that can be applied to various aggregation-prone proteins is of crucial importance. In our previous work, two-dimensional electrophoresis (2-DE) was employed to systematically analyze the E. coli BL21 (DE3) proteome profile in response to heat treatment, and KDPG aldolase (EDA) was identified as a heat-responsive and aggregation-resistant protein. When used as fusion expression partner, EDA significantly increased the solubility of seven aggregation-prone heterologous proteins in the E. coli cytoplasm. The efficacy of EDA as a fusion expression partner was evaluated through the analysis of bioactivity or secondary structure of several target proteins: EDA-fusion expression resulted in the synthesis of bioactive human ferritin light chain and bacterial arginine deiminase and the formation of correct secondary structure of human granulocyte colony stimulation factor.