Abstract
Long noncoding RNAs (lncRNAs) are a group of functional RNA molecules without protein-coding potential and play vital roles in majority of biological processes. To date, the expression profiles of lncRNAs and their influence on Brucella replication in RAW264.7 cells are poorly understood. In this study, we performed high-throughput transcriptome analysis to investigate the differentially expressed lncRNAs associated with Brucella abortus S2308 infection. Of these, 8, 6, 130 and 94 cellular lncRNAs were differentially expressed at 4, 8, 24 and 48 h post-infection, respectively. Moreover, 1918 protein-coding genes are predicted as potential cis target genes of differentially expressed lncRNAs by searching protein-coding genes located at upstream and downstream of lncRNA loci on the chromosome DNA of Mus musculus. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses indicated that majority of lncRNA target genes were associated with B. abortus infection. Fourteen lncRNAs from transcriptome data were selected for qRT-PCR verification, confirming 13 were differentially expressed. Animal experiments revealed three were differentially expressed in vivo by qRT-PCR analysis. Furthermore, knockdown of LNC_000428 by CRISPR/dCas9 inhibition or Locked Nucleic Acids transfection downregulated Tnfrsf8 expression at mRNA level and increased Brucella intracellular replication. Thus, we provide a novel evidence that lncRNAs induced by Brucella-infection function on Brucella intracellular replication.
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Introduction
Long noncoding RNAs (lncRNAs) are a class of RNA molecules which are longer than 200 nucleotides and are poor at encoding proteins. High-throughput transcriptomic analysis revealed the primary transcripts and processed RNAs in several mammalian cells which are transcribed at 39% and 22% of the genome on average, respectively1. However, only a small proportion of primary transcripts are found to be processed into protein-coding RNAs and are responsible for 1.0–1.5% of genomes in mammalian cells, whereas most RNAs are classified lncRNAs and small noncoding RNAs2,3. Some recent reports have uncovered that human and mouse cells synthesize thousands of lncRNAs, and it is known that lncRNAs are more tissue-specific and less conserved than protein-coding genes4,5. Moreover, there is mounting evidence indicating that many lncRNAs serve as critical regulatory roles in the biological processes associated with the development, metabolism and immunization in mammals6,7,8. Additionally, host-cell-synthesized lncRNAs in response to pathogen infection are emerging as vital regulation factors to determine the fate of these pathogens, including both bacteria and viruses9,10. Therefore, profiling cellular lncRNAs on different infection situations could provide more detail in the cellular response to pathogen infection.
Brucella, which cause severe worldwide chronic zoonosis called brucellosis, are facultative intracellular Gram-negative pathogens11,12. Brucella are canonically classified into six species including Brucella melitensis, B. abortus, B. suis, B. canis, B. ovis, and B. neotomae13. Of the six species, B. melitensis, B. abortus and B. suis are more important causes of zoonosis, which seriously impact human health14. Evidence has shown that the pathogenesis of Brucella spp. is attributed to the bacterial surviving intracellularly within both phagocytic and non-phagocytic cells of its hosts15,16. To facilitate bacterial stealth in their host cells, several identified Brucella components play essential roles during infection, such as lipopolysaccharide, the type 4 secretion system and two-component regulatory systems17. In addition, host proteins in response to Brucella infection also show vital roles to regulate Brucella intracellular survival18,19. However, the profiles of macrophage-produced lncRNAs during Brucella infection are less described.
In this study, we performed high-throughput transcriptome analyses in S2308-infected RAW264.7 macrophages to discover the differentially expressed lncRNAs at 4, 8, 24 and 48 h post-infection (hpi). Potential Cis target genes of these lncRNAs were then predicted and subjected to GO and KEGG analyses for evaluation of their function following Brucella infection. Of these, three lncRNAs were further confirmed to be differentially expressed in Brucella-infected macrophages and mice by qRT-PCR analysis. Furthermore, LNC_000428 was found to be associated with Brucella intracellular replication in macrophages. Thus, this report provided an insight on exploring the functions of lncRNA on Brucella intracellular survival in their host cells.
Results
Transcript assembly and lncRNA identification
In this study, raw reads from RNA-Seq data were qualified to generate clean reads for assembly of transcripts. For each sample, the total numbers of clean reads were greater than 81,000,000 and base mismatch rates were 0.02%. Values of all Q20 and Q30 evaluating the probability of error on clean reads were also more than 90% (Supplementary Table 1). Moreover, the sizes of clean reads from RNA-Seq data in this study were more than 12 Gb (Supplementary Table 1) whereas the size of genome of Mus musculus is about 2.5 Gb20. All results support that the RNA-Seq was eligible for the following read alignments and transcript assembly. Subsequently, all clean reads were aligned to the genome of Mus musculus and assembled using the TopHat2 software21. The alignment results are displayed in Supplementary Table 2. More than 82% of total clean reads from RNA-Seq data from each group were completely aligned to the genome of Mus musculus. Additionally, at least 39% of total clean reads were arranged on the positive strands of chromosome DNA of Mus musculus, while greater than 38% reads were completely aligned on the negative strands (Supplementary Table 2). For the characterization of assembled transcripts in this study, a total of 3158 lncRNAs in RAW264.7 cells were screened (Supplementary Data 1).
Characteristics of differentially expressed lncRNAs and their potential cis target genes
To identify the differentially expressed lncRNAs, expression of lncRNAs were quantified by fragments per kilobase of transcript per million reads sequenced (FPKM) by applying the Cuffdiff software22. Subsequently, determination of the differential expression of lncRNAs between infection and mock cells were performed with the Cuffdiff software. Results of the differential lncRNA expression were shown in Fig. 1. According to the analysis of RNA-Seq data in this study, 8, 6, 130 and 94 lncRNAs were differentially expressed in RAW264.7 cells with S2308 infection for 4, 8, 24 and 48 h, respectively (Supplementary Data 2). Afterwards, potential cis target genes of differentially expressed lncRNAs were predicted by searching protein-coding genes located at 100 Kb upstream and downstream of lncRNA loci on the chromosome DNA of Mus musculus, resulting in a total of 1918 coding genes as potential cis target genes for lncRNA (Supplementary Data 3).
GO and KEGG annotation of the potential lncRNA target genes
Cis predicted target genes of differentially expressed lncRNAs were investigated by GO analysis to reveal the ties between a gene product and its biological process, molecular function or cellular component. GO terms were classified into three subcategories including biological processes, cellular components and molecular function. According to the corrected p-value (p > 0.05) on GO enrichment, the top 20 GO terms with the most significance in three subcategories were shown in Fig. 2. From the results of the GO analysis of cis predicted target genes from differentially expressed lncRNAs induced by S2308 at 4 hpi, only GO terms in subcategories of biological process and molecular function were significantly enriched (Fig. 2a). The GO terms included a response to interferon-gamma (GO:0071346) and positive regulation of inflammatory response (GO:0050729) in biological processes, cytokine activity (GO:0005125) and cytokine receptor (GO:0005126) binding in molecular function. Significantly enriched GO terms at 8 hpi were not found in this study. At 24 hpi, negative regulation of biological (GO:0048519) and immune system processes (GO:0002376) were the two most dominant terms. For molecular function, binding (GO:0005488) and protein binding (GO:0005515) were most important; and the intracellular part (GO:0044424), organelle (GO:0043226), membrane-bounded organelle (GO:0043227), intracellular organelle (GO:0043229) and intracellular membrane-bounded organelle (GO:0043231) were highly represented in the cellular component (Fig. 2b). At 48 hpi, GO terms in each cellular component was not significantly enriched (Fig. 2c). The immune effector process (GO:0002252) and response to virus (GO:0009615) in biological processes, protein binding (GO:0005515) and binding (GO:0005488) of molecular function, were the two highly illustrated terms (Fig. 2c).
KEGG enrichment on cis predicted target genes of all differentially expressed lncRNAs was also carried out. According to the corrected p-value, top 20 most significant pathways enriched in this report were shown in Fig. 3, including chemokine signaling pathway and cytokine-cytokine receptor interaction at 4 hpi (Fig. 3a), nitrogen metabolism and other glycan degradation at 8 hpi (Fig. 3b), systemic lupus erythematosus and alcoholism at 24 hpi (Fig. 3c), and RIG-I-like receptor signaling pathway and Hepatitis B at 48 hpi (Fig. 3d).
Verification of differentially expressed lncRNAs by qRT-PCR
From the results of RNA-Seq analysis, differential lncRNA expression between infection and control groups were verified by qRT-PCR. According to lncRNA expression with log2 transformed fold changes more than 4, the differential expression of a total of 14 lncRNAs from all timepoints was demonstrated by qRT-PCR through relative RNA expression in RAW264.7 cells infected with S2308 for 4, 8, 24 and 48 h (Fig. 4). Aside from LNC_000142, which was not detectable in this study (Fig. 4b), the qRT-PCR verified the differential expression of all 13 selected lncRNAs, which were similar to the data of the RNA-Seq analysis (Fig. 4a). Additionally, the differential expression of 14 selected lncRNAs was investigated by qRT-PCR in spleens of mice infected with S2308 at 24 hpi (Fig. 4c). The results showed that differential expression of the three lncRNAs, including ENSMUST00000186844.1, LNC_000428 and ENSMUST00000152112.1, was found in the spleens of mice in the infection and control groups, which was similar to the data from RNA-Seq analysis and qRT-PCR verification (Fig. 4).
Knockdown of LNC_000428 promoted Brucella replication in macrophages and decreased Tnfrsf8 expression at the mRNA level
Based on the prediction of the cis target gene for the differentially expressed lncRNAs in this report, LNC_000428 was an anti-sense lncRNA of Tnfrsf8 on the chromosome 4 of Mus musculus (Supplementary Data 3). Therefore, spatio‐temporal expression of LNC_000428 and its anti-sense gene Tnfrsf8 in RAW264.7 cells with S2308 infection, were determined by qRT-PCR. The results exhibited that differential expression of both LNC_000428 and Tnfrsf8 were induced by S2308 infection in RAW264.7 cells, and that differential lncRNA expression at 48 hpi was definitely higher than the outcomes at 4, 8 and 12 hpi (Fig. 5). These results support that anti-sense lncRNA LNC_000428 could serve a critical role in Brucella infection to murine macrophages.
To investigate whether knocking down of LNC_000428 affects Brucella intracellular survival, a CRISPR/dCas9 inhibition (CRISPRi) system was employed in this report. Initially, a transcriptional start site (TSS) of LNC_000428 was identified by the 5′ RACE system (Fig. 6a, b), and was shown far away from the site of Tnfrsf8 TSS. We confirmed that the LNC_000428 TSS was located at 59 bp downstream of the transcript from the results of RNA-Seq analysis (Fig. 6c). In addition, targeting sites of sgRNAs in CRISPRi system are highly closed the TSS of genes23. Subsequently, two sgRNAs targeting LNC_000428 were designed where sgRNA-1 was located at 51–70 bp upstream of the verified LNC_000428 TSS, and sgRNA-2 at 48–67 bp downstream. After the CRISPRi system was delivered into RAW264.7 cells by the lentivirus system, relative RNA expression by qRT-PCR revealed that LNC_000428 in the two cell lines containing the CRISPRi system were significantly reduced (Fig. 7a), supporting that the two sgRNAs were remarkably effective in the inhibition of LNC_00042 expression in RAW264.7 cells. Besides that, relative RNA expression of LNC_000428 and Tnfrsf8 were significantly reduced in the two cell lines with an infection of S2308 for 48 h (Fig. 7b, c). Moreover, the knockdown of LNC_000428 in RAW264.7 cells increased the numbers of intracellular Brucella when the two lncRNA-reduced cell lines were infected with S2308 for 48 h (Fig. 7d). These results indicate that murine-derived anti-sense lncRNA LNC_000428 possesses a crucial role for Brucella intracellular survival in host macrophages.
LNA is a modified single stranded antisense nucleotide, which repress the gene expression via targeting lncRNA by sequence-specific Watson–Crick base pairing to induce cleavage by RNase H24. In this study, LNA was designed to be the antisense sequence of the lncRNA, because the lncRNA is also the antisense sequence of the coding gene, therefore, LNA will not complement and pair with coding genes, nor direct influence the function of the coding protein. Thus, gapmer LNAs targeting LNC_000428 were used to knock down LNC_000428 in RAW264.7 cells. LNC_000428 knockdown decreased the expression of Tnfrsf8 (Fig. 7e). When LNC_000428 was knocked down by LNAs, intracellular Brucella S2308 in RAW264.7 macrophages were increased accordingly (Fig. 7f). Therefore, knocked down expression of LNC_000428 by CRISPRi or LNAs benefited Brucella intracellular growth in RAW264.7 macrophages, indicating that LNC_000428 could be a negative regulator for intracellular Brucella replication during infection.
Discussion
Brucella spp. are facultative intracellular Gram-negative bacteria that can cause persistent infection by localizing in macrophages within animal bodies25. Brucellosis caused by B. melitensis, B. abortus and B. suis is a zoonosis that can be transmitted from animals to humans. Brucella abortus S2308, a smooth type recovered in 1940, is a highly virulent strain from an aborted fetus of a cow that had been in contact with cattle experimentally infected with a mixture of B. abortus cultures26. Since then, B. abortus S2308 has been diffusely applied as a reference, and a challenge strain has been applied to explore the pathogenic mechanisms in relation to brucellosis27,28. Reportedly, Brucella spp. can survive within resident macrophages such as RAW264.7 cells, a widely used macrophage cell line to investigate infection and immunity of Brucella in vitro29,30. Studies are progressively showing that the entrance of smooth strains of B. abortus into macrophages and epithelioid cell lines is mediated by a lipid raft at the first step of infection, followed by generating a Brucella-containing vacuole (BCV)31. Following the nascent BCVs interacting with early endosomes, BCVs are converted into endosomal Brucella-containing vacuoles (eBCVs) by undergoing interaction with late endosomes and lysosomes at 0.5–2 hpi and up to 20 hpi32. Nearly 90% of internalized Brucella are killed in macrophages within the first 4 h33. At 8 hpi, eBCVs fuse with the endoplasmic reticulum to form replicative Brucella-containing vacuoles (rBCVs) where Brucella initiate replication34. Finally, autophagic Brucella-containing vacuoles (aBCVs) are formed at 48–72 hpi for bacterial release35. Although the landscapes of small noncoding RNAs and mRNAs in Brucella, as well as mRNAs, lncRNAs and microRNAs from RAW264.7 cells infected with Brucella were defined by RNA sequencing36,37,38,39, the profiling of the lncRNAs in macrophages from the early to late stages of Brucella infection was less known. In this study, we employed high-throughput sequencing and qRT-PCR verification to describe the differentially expressed lncRNAs in RAW264.7 cells infected with B. abortus S2308 from the early to late stages. The findings may strongly provide an insight to investigate whether lncRNAs served as regulators associated with intracellular survival of Brucella in macrophages.
In macrophages, it seems that evidence has revealed that Brucella could regulate Toll-like receptor signaling pathways, TNF signaling pathways and inflammation to facilitate bacterial survival in host cells40,41. During the infection of M. tuberculosis, lncRNAs were considered to regulate TNF expression in macrophages to impact the replication of bacteria42,43. Pathways associated with immune response were also significantly obtained from GO and KEGG analyses, such as Toll-like receptor signaling pathways, TNF signaling pathways and inflammation. Taken together, some of the differentially expressed lncRNAs induced by an S2308 infection may be associated with immune response in macrophages.
In vivo, Brucella exhibit a preference of localizing within macrophages for successful replication by a stealthy strategy, and high bacterial loads were found in the mouse spleens which were reportedly contained extensively abundant macrophages44,45,46,47,48,49. In this report, we demonstrated three differentially expressed lncRNAs from RNA-Seq data by qRT-PCR in B. abortus S2308 infected RAW264.7 cells and in mouse spleens. These validated lncRNAs might have potential as regulators during Brucella infection. Furthermore, Tnfrsf8, as a well-known CD30, was predicted as one of the targets of anti-sense lncRNA LNC_000428, which was upregulated in B. abortus-infected RAW264.7 cells at 24 hpi and mouse spleens at 24 h post-infection. CD30 was reportedly expressed in several cell types, including activated and memory Th cells, NK cells, macrophages and those cells located in the thymus medulla50,51,52. In vivo, the knockout of CD30 in mice decreased the immune response against L. monocytogenes and mycobacterial infection50,52. In addition, M. avium infection resulted in lower levels of CD4+ and CD8+ T cells, monocytes, and B cells in spleens of CD30 knockout mice that are susceptible to this pathogen. In this study, knocked down of LNC_000428 by CRISPRi or LNAs decreased expression of Tnfrsf8 and increased Brucella intracellular growth in murine macrophages, suggesting its negative regulation on Brucella intracellular replication. Thus, LNC_000428 might be an immune-associated lncRNA and potentially play an important role in B. abortus infection, which required further investigation.
Conclusions
Here, we employed a high throughput RNA-Seq to explore the differentially expressed lncRNAs from S2308-infected macrophages spanning Brucella intracellular life. Function analysis of the lncRNA targets showed that differentially expressed lncRNAs might be associated with Brucella infection and immunity. qRT-PCR results revealed that three lncRNAs were differentially expressed in Brucella-infected macrophages and mouse spleens. Moreover, LNC_000428 was found to be associated with intracellular replication of Brucella. Therefore, our results provide a new insight for further investigation of lncRNAs and its role on Brucella intracellular survival to uncover the stealthy strategy of this pathogen in macrophages.
Material and methods
Animal ethics statement
Mice were purchased from the Shanghai Laboratory Animal Center of Experimental Animals, Shanghai, China, and housed in cages at a controlled temperature of 28–30 °C under biosafety conditions, with water and food provided ad libitum. The animal health and behavior were monitored and recorded twice every day at 12 h interval during the study. The study was approved by the Institutional Animal Care and Use Committee of Shanghai Veterinary Research Institute and accomplished in strict accordance with the Guide for the Care and Use of Laboratory Animals instituted by Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (approval no: SHVRI-SD-2019–088). Mice were monitored for the clinical signs or death twice a day at a 12 h interval and sacrificed by carbon dioxide inhalation in the cage when sampling of the spleen or at the experimental endpoint. Criteria for determining the end point of animal experiment include: (1) animals do not drink or eat; (2) The body weight decreased by 20% of that before the experiment; (3) Dying or unable to move. The study is reported in accordance with ARRIVE guidelines (https://arriveguidelines.org).
Cell lines and bacterial strain
Murine macrophage cell line RAW264.7 and human embryonic kidney 293 T cells were purchased from the American Type Culture Collection (ATCC) and maintained in Dulbecco's Modified Eagle Medium (DMEM, Thermo Fisher) with 10% fetal bovine serum (FBS, Biological Industries) in an incubator supplied with 5% CO2 at 37 °C.
Brucella abortus S2308 was purchased from the ATCC and cultured in tryptic soy broth medium (TSB, Difco, NJ, USA) at 37 °C, with a rotation at 200 rpm/min. All materials with live B. abortus were handled within a biosafety level 3 laboratory facility at the Chinese Academy of Agricultural Sciences, China.
Macrophage infection
RAW264.7 macrophages were infected with B. abortus S2308 as described53. Briefly, RAW264.7 cells were incubated with DMEM-resuspended Brucella at a multiplicity of infection (MOI) of 1000 for 60 min at 37 °C after cells were twice washed with phosphate-buffered saline (PBS). Subsequently, RAW264.7 cells were twice washed with PBS and treated with DMEM containing 100 μg/mL gentamycin for 60 min at 37 °C to kill extracellular Brucella. Finally, RAW264.7 cells were sustained in DMEM medium containing 10 μg/mL gentamycin and 1% FBS. Samples were collected at 4, 8, 24 and 48 hpi for RNA isolation followed by RNA-Seq analysis and qRT-PCR verification.
RNA isolation, library preparation and sequencing
Total RNA from RAW264.7 cells were isolated by TRIzol Reagent (Invitrogen, USA) according to the procedures. Afterwards, 3 μg of total RNA from each sample as input material was treated by Epicentre Ribo-zero rRNA Removal Kit (Epicentre, USA) to remove ribosomal RNA, and rRNA-depleted RNA was precipitated by ethanol. RNA fragmentation was carried out by applying divalent cations under elevated temperature in NEBNext First Strand Synthesis Reaction Buffer (5×) before the first strand cDNA was synthesized using a random hexamer primer and M-MuLV Reverse Transcriptase. Subsequently, the second strand of cDNA was synthesized by using DNA Polymerase I and RNase H whereas dTTP in dNTPs mixture was replaced by dUTP. DNA fragments without overhangs were removed by exonuclease and polymerase, and then adenylated at the 3′ ends and ligated by the NEBNext Adaptor with hairpin loop structure. The library fragments with preferentially 150–200 bp in length were purified with AMPure XPsystem (Beckman Coulter, Beverly, USA), followed by treatment with 3 μL USER Enzyme (NEB, USA) for 15 min at 37 °C and for 5 min at 95 °C before PCR was performed with Phusion High-Fidelity DNA polymerase, Universal PCR primers and Index (X) Primer. Finally, the quality of products purified by AMPure XP system was assessed on the Agilent Bioanalyzer 2100 system.
The libraries were sequenced on an Illumina Hiseq 2500 platform to generate 125 bp paired-end reads, and the index-coded samples were clustered on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia, USA) according to the manufacturer’s instructions.
Transcript assembly and lncRNA identification
Paired-end clean reads from raw data by removing reads with adapter, ploy-N and low quality reads, were aligned to the Mus musculus genome (https://www.ncbi.nlm.nih.gov/genome/?term=Mus+musculus) using TopHat v2.0.921. The assembly of mapped reads was performed by employing both Scripture (beta2)54 and Cufflinks (v2.1.1)22 in a reference-based approach. Afterwards, lncRNAs were identified through five steps: (1) mono-exon transcripts with low abundance and reliability were removed; (2) transcript (> 200 bp) were screened from step 1; (3) transcripts overlapping with the genes from protein databases and lncRNA databases were separated by using Cuffcompare22; (4) based on Cuffquant22 analysis, new transcripts with abundance (FPKM < 0.5) from step 3 were deleted and known lncRNAs were filtered from above step; and (5) novel lncRNAs were identified through evaluating the coding potential of assembled transcripts by utilizing Coding-Non-Coding-Index (CNCI) (v2)55, Coding Potential Calculator (CPC) (0.9-r2)56, Pfam Scan (v1.3)57 and PhyloCSF (phylogenetic codon substitution frequency) (v20121028)58.
Differential expression of lncRNAs and their putative target genes
The number of FPKM determined by Cuffdiff (V1.3.0) (http://cole-trapnell-lab.github.io/cufflinks/install/) was used to describe the expression abundance of lncRNA, followed by identifying differentially expressed lncRNAs (P < 0.05) caused by a B. abortus infection22. Target genes of lncRNAs with differential expression were predicted by searching coding genes between 100 kb upstream and downstream of lncRNAs (Cis).
GO and KEGG
GO enrichment of target genes from differentially expressed lncRNA, were implemented by the GOseq R package (V2.12) (http://www.bioconductor.org/packages/2.12/bioc/html/goseq.html)59. GO terms are considered to be significantly enriched when a corrected p-value is less than 0.05. Simultaneously, the KOBAS (V.2.0) (http://kobas.cbi.pku.edu.cn/home.do) was applied to test the statistical enrichment of lncRNA target genes in KEGG pathways60.
qRT-PCR
cDNA was synthesized by HiScript II Reverse Transcriptase (Vazyme) following the manufacturer's instructions, after total RNA was treated by TURBO DNA-free Kit (Invitrogen) to remove gDNA. Subsequently, qRT-PCR was performed by using ChamQ Universal SYBR qPCR Master Mix (Vazyme) according to the manufacturer’s protocol. The relative expression of different groups of genes was determined by quantifying the gene expression to the Gapdh mRNA level. The qRT-PCR primers were shown in Supplementary Table 3.
Animal experiment
An animal model was used to perform experiments following the previous protocol53. Briefly, 10 healthy, non-immunized 6-week-old BALB/c female mice were divided into two groups (n = 2 groups). Five mice in one group (n = 5 mice) were placed in one cage, and 10 mice for two groups were placed separately in two cages (n = 2 cages). The random allocation of mice was performed by using the standard = RAND () function in Microsoft Excel. We tested 5 mice for each group is because we have to reduce the animal numbers as much as possible following the Guide for the Care and Use of Laboratory Animals instituted by Shanghai Veterinary Research Institute and ensure enough numbers for the subsequent effective statistical analysis. Each mouse in group 1 was intraperitoneally injected with 0.1 ml PBS containing no bacteria as the mock control, while each mouse in group 2 was injected intraperitoneally with 0.1 ml PBS containing 5 × 105 CFU bacteria. At 24 h post-infection, each of the five mice from groups 1 and 2 were humanly sacrificed, and the spleens were collected and resuspended with TRIzol reagent followed by homogenization for RNA isolation according to the manufacturer's instruction. We kept the mice treatment order of PBS injection first (group 1), then bacteria injection (group 2) as the same with spleen collection order, mice in group 1 first followed by group 2, to minimize potential confounders. Five RNA samples from each group were prepared and combined for qRT-PCR analyses. Differentially expressed lncRNAs in spleens were measured using primers listed in Supplementary Table 3. The experiment was repeated three times.
5′ RACE system
The 5′ end of LNC_000428 was confirmed by applying the SMARTer RACE 5′/3′ Kit (TaKaRa), according to the manufacturer’s instructions. The primers involved in the RACE reaction were listed in Table 1 and other oligos were provided by the kit. Briefly, reverse transcription was carried out using a gene-specific primer, LNC_000428-RT. cDNA was used as template for RACE PCR with LNC_000428-GSP-1R and Universal Primer A Mix. Next, the PCR products cloned into the vector using 5 min TA/Blunt-Zero Cloning Kit (Vazyme, Nanjing, China) and the RACE PCR products, were identified by Sanger sequencing. Finally, the sequences of PCR products were aligned to genomic DNA of Mus musculus to obtain the transcriptional start site of LNC_000428.
CRISPRi- mediated lncRNA knockdown
To generate a CRISPRi vector, Cas9 on lentiCRISPR v2 (Addgene) was replaced by the DNA sequence containing dead Cas9 and Krüppel-associated box (a zinc-finger repressor protein). Briefly, fragment from lentiCRISPR v2 digested with XhoI and NheI was fused with the DNA sequence amplified from plasmid lenti-EF1a-dCas9-KRAB-Puro (Addgene), following the manual procedure of the ClonExpress Ultra One Step Cloning Kit (Vazyme). sgRNAs for CRISPRi-mediated lncRNA knockdown were designed from the website (https://chopchop.cbu.uib.no/), and cloned into the CRISPRi vector following the previous protocol18. The primers and oligos for sgRNA cloning were shown in Table 1. The CRISPRi system was delivered into target cells by lentivirus. For lentivirus packaging, three plasmids containing CRISPRi, psPAX2 (Addgene) and pMD2.G (Addgene) were co-transfected into 293 T cells using Lipofectamine 3000 Reagent (Thermo Fisher Scientific). After 6 h of transfection, the medium was replaced with DMEM containing 10% FBS. Supernatants containing lentivirus at 24 and 48 h after transfection were mixed and centrifuged at 600× g for 10 min at room temperature, followed by filtering with a 0.45 μ Millipore membrane. Finally, the lentivirus was aliquoted and stored at − 80 °C. To produce stable cell lines, RAW264.7 cells were infected with lentivirus. At 24 hpi, the medium was replaced with DMEM containing 10% FBS. At 48 hpi, RAW264.7 cells were treated with puromycin (5 μg/mL) for 6 days. Eventually, knockdown efficiency of CRISPRi was determined by qRT-PCR.
Transfection of locked nucleic acids
In this study, Locked Nucleic Acids (LNAs) as antisense oligos of LNC_000428 were selected by using the software RNAstructure (V6.4) according to the recommended protocols. LNAs were delivered into RAW264.7 macrophages at a final concentration of 100 μM by TurboFect Transfection Reagent following the kit manual. At 24 h post transfection, the RAW264.7 cells were determined for the knocked down expression of LNC_000428 and Tnfrsf8 by LNAs using qRT-PCR, then subjected to Brucella infection, and intracellular replication was determined at 24 hpi. LNAs sequences were provided in Supplementary Table 3.
Intracellular survival of Brucella
RAW264.7 cells and lncRNA knockdown cell lines were infected with S2308 at 1000 MOI following the protocols described previously. At 4 and 48 hpi, cells were lysed with 0.5% Triton-100 in PBS, with incubation for 20 min at 37 °C. Next, lysates were serially diluted ten-fold and 100 μL dilutions were spread on TSA plates. The plates were incubated in an incubator supplied with 5% CO2 for 3 days at 37 °C. Ultimately, intracellular Brucella was designated with bacterial colony-forming units (CFUs) on the TSA plates. For normalization, total CFUs at 48 hpi were divided by total CFUs at 4 hpi.
Statistical analysis
Analysis of differentially expressed lncRNAs by qRT-PCR as well as differential Brucella CFUs between groups was performed using a Student’s t-test (two-tailed) using Graph Pad Prism (version.8.3.0) (https://www.graphpad-prism.cn/). A p-value which is less than 0.05 was considered as being statistically significant. All data are presented as mean ± SD.
Data availability
The raw data that support the findings of this study are available from National Center for Biotechnology Information at https://www.ncbi.nlm.nih.gov/sra/PRJNA694452, reference number: PRJNA694452.
References
Djebali, S. et al. Landscape of transcription in human cells. Nature 489, 101–108 (2012).
Malone, C. D. & Hannon, G. J. Small RNAs as guardians of the genome. Cell 136, 656–668 (2009).
Wang, K. C. & Chang, H. Y. Molecular mechanisms of long noncoding RNAs. Mol. Cell 43, 904–914 (2011).
Uszczynska-Ratajczak, B., Lagarde, J., Frankish, A., Guigó, R. & Johnson, R. Towards a complete map of the human long non-coding RNA transcriptome. Nat. Rev. Genet. 19, 535–548 (2018).
St Laurent, G., Wahlestedt, C. & Kapranov, P. The landscape of long noncoding RNA classification. Trends Genet. 31, 239–251 (2015).
Xiao, Z. D. et al. Energy stress-induced lncRNA FILNC1 represses c-Myc-mediated energy metabolism and inhibits renal tumor development. Nat. Commun. 8, 783 (2017).
Zhang, B. et al. The lncRNA Malat1 is dispensable for mouse development but its transcription plays a cis-regulatory role in the adult. Cell Rep. 2, 111–123 (2012).
Kretz, M. et al. Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature 493, 231–235 (2013).
Jackson, R. et al. The translation of non-canonical open reading frames controls mucosal immunity. Nature 564, 434–438 (2018).
Kulkarni, S. et al. CCR5AS lncRNA variation differentially regulates CCR5, influencing HIV disease outcome. Nat. Immunol. 20, 824–834 (2019).
Boschiroli, M.-L., Foulongne, V. & O’Callaghan, D. Brucellosis: a worldwide zoonosis. Curr. Opin. Microbiol. 4, 58–64 (2001).
Carvalho Neta, A. V. et al. Pathogenesis of bovine brucellosis. Vet. J. 184, 146–155 (2010).
Moreno, E. Retrospective and prospective perspectives on zoonotic brucellosis. Front. Microbiol. 5, 213 (2014).
Haag, A. F., Myka, K. K., Arnold, M. F., Caro-Hernandez, P. & Ferguson, G. P. Importance of lipopolysaccharide and cyclic beta-1,2-glucans in brucella-mammalian infections. Int. J. Microbiol. 2010, 124509 (2010).
Glowacka, P., Zakowska, D., Naylor, K., Niemcewicz, M. & Bielawska-Drozd, A. Brucella-virulence factors, pathogenesis and treatment. Pol. J. Microbiol. 67, 151–161 (2018).
He, Y. Analyses of Brucella pathogenesis, host immunity, and vaccine targets using systems biology and bioinformatics. Front. Cell. Infect. Microbiol. 2, 2 (2012).
Byndloss, M. X. & Tsolis, R. M. Brucella spp. virulence factors and immunity. Annu. Rev. Anim. Biosci. 4, 111–127 (2016).
Hu, H. et al. Brucella infection regulates thioredoxin-interacting protein expression to facilitate intracellular survival by reducing the production of nitric oxide and reactive oxygen species. J. Immunol. 204, 632–643 (2020).
Liu, X., Zhou, M., Wu, J., Wang, J. & Peng, Q. HMGB1 release from trophoblasts contributes to inflammation during Brucella melitensis infection. Cell. Microbiol. 21, e13080 (2019).
Weitzman, J. B. The mouse genome. Genome Biol. 3, spotlight-20021205-20021202 (2002).
Kim, D. et al. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 14, R36 (2013).
Trapnell, C. et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 28, 511–515 (2010).
Rosenbluh, J. et al. Complementary information derived from CRISPR Cas9 mediated gene deletion and suppression. Nat. Commun. 8, 15403 (2017).
Amodio, N. et al. Drugging the lncRNA MALAT1 via LNA gapmeR ASO inhibits gene expression of proteasome subunits and triggers anti-multiple myeloma activity. Leukemia 32, 1948–1957 (2018).
Dornand, J. et al. The innate immune response against Brucella in humans. Vet. Microbiol. 90, 383–394 (2002).
Jones, L. M., Montgomery, V. & Wilson, J. B. Characteristics of carbon dioxide-independent cultures of Brucella abortus isolated from cattle vaccinated with strain 19. J. Infect. Dis. 115, 312–320 (1965).
Suarez-Esquivel, M. et al. Brucella abortus strain 2308 wisconsin genome: importance of the definition of reference strains. Front. Microbiol. 7, 1557 (2016).
Li, Z. Q. et al. Immunization of BALB/c mice with Brucella abortus 2308ΔwbkA confers protection against wild-type infection. J. Vet. Sci. 16, 467–473 (2015).
Eskra, L., Mathison, A. & Splitter, G. Microarray analysis of mRNA levels from RAW264.7 macrophages infected with Brucella abortus. Infect. Immun. 71, 1125–1133 (2003).
Guo, F. et al. Autophagy favors Brucella melitensis survival in infected macrophages. Cell. Mol. Biol. Lett. 17, 249–257 (2012).
Watarai, M., Makino, S. I., Fujii, Y., Okamoto, K. & Shirahata, T. Modulation of Brucella-induced macropinocytosis by lipid rafts mediates intracellular replication. Cell. Microbiol. 4, 341–355 (2002).
Arenas, G. N., Staskevich, A. S., Aballay, A. & Mayorga, L. Intracellular trafficking of Brucella abortus in J774 macrophages. Infect. Immun. 68, 4255–4263 (2000).
Celli, J. et al. Brucella evades macrophage killing via VirB-dependent sustained interactions with the endoplasmic reticulum. J. Exp. Med. 198, 545–556 (2003).
de Figueiredo, P., Ficht, T. A., Rice-Ficht, A., Rossetti, C. A. & Adams, L. G. Pathogenesis and immunobiology of brucellosis: review of Brucella-host interactions. Am. J. Pathol. 185, 1505–1517 (2015).
Celli, J. The changing nature of the Brucella-containing vacuole. Cell. Microbiol. 17, 951–958 (2015).
Zheng, K. et al. MicroRNA expression profile in RAW264.7 cells in response to Brucella melitensis infection. Int. J. Biol. Sci. 8, 1013–1022 (2012).
Tian, M. et al. Microarray-based identification of differentially expressed genes in intracellular Brucella abortus within RAW264.7 cells. PLoS ONE 8, e67014 (2013).
Wang, Y. et al. Identification of a novel small non-coding RNA modulating the intracellular survival of Brucella melitensis. Front. Microbiol. 6, 164 (2015).
Jiang, H. et al. Transcriptome analysis of gene expression profiling of infected macrophages between Brucella suis 1330 and live attenuated vaccine strain S2 displays mechanistic implication for regulation of virulence. Microb. Pathog. 119, 241–247 (2018).
Xavier, M. N. et al. CD4+ T cell-derived IL-10 promotes Brucella abortus persistence via modulation of macrophage function. PLoS Pathog. 9, e1003454 (2013).
Luo, X. et al. Brucella downregulates tumor necrosis factor-alpha to promote intracellular survival via Omp25 regulation of different microRNAs in porcine and murine macrophages. Front. Immunol. 8, 2013 (2017).
Zur Bruegge, J., Einspanier, R. & Sharbati, S. A long journey ahead: long non-coding RNAs in bacterial infections. Front. Cell. Infect. Microbiol. 7, 95 (2017).
Huang, S., Huang, Z., Luo, Q. & Qing, C. The expression of lncRNA NEAT1 in human tuberculosis and its antituberculosis effect. Biomed. Res. Int. 2018, 9529072 (2018).
Gersch, C. et al. Mast cells and macrophages in normal C57/BL/6 mice. Histochem. Cell Biol. 118, 41–49 (2002).
Lai, S. M. et al. Organ-specific fate, recruitment, and refilling dynamics of tissue-resident macrophages during blood-stage malaria. Cell Rep. 25, 3099–3109 (2018).
Olsen, S. C., Waters, W. R. & Stoffregen, W. S. An aerosolized Brucella spp. challenge model for laboratory animals. Zoonoses Public Health 54, 281–285 (2007).
Poester, F. P., Samartino, L. E. & Santos, R. L. Pathogenesis and pathobiology of brucellosis in livestock. Rev. Sci. Tech. 32, 105–115 (2013).
Silva, T. M., Costa, E. A., Paixao, T. A., Tsolis, R. M. & Santos, R. L. Laboratory animal models for brucellosis research. J. Biomed. Biotechnol. 2011, 518323 (2011).
Tian, M. et al. Characterization of the main immunogenic proteins in Brucella infection for their application in diagnosis of brucellosis. Comp. Immunol. Microbiol. Infect. Dis. 70, 101462 (2020).
Marin, N. D. & Garcia, L. F. The role of CD30 and CD153 (CD30L) in the anti-mycobacterial immune response. Tuberculosis (Edinb.) 102, 8–15 (2017).
Muta, H. & Podack, E. R. CD30: from basic research to cancer therapy. Immunol. Res. 57, 151–158 (2013).
Sun, X. et al. CD30L/CD30 is critical for maintenance of IL-17A-producing gammadelta T cells bearing Vgamma6 in mucosa-associated tissues in mice. Mucosal Immunol. 6, 1191–1201 (2013).
Tian, M. et al. Identification of a novel, small, conserved hypothetical protein involved in Brucella abortus virulence by modifying the expression of multiple genes. Transbound. Emerg. Dis. 66, 349–362 (2019).
Cabili, M. N. et al. Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev. 25, 1915–1927 (2011).
Sun, L. et al. Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts. Nucleic Acids Res. 41, e166 (2013).
Kong, L. et al. CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine. Nucleic Acids Res. 35, W345–W349 (2007).
Punta, M. et al. The Pfam protein families database. Nucleic Acids Res. 40, D290–D301 (2012).
Lin, M. F., Jungreis, I. & Kellis, M. PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions. Bioinformatics 27, i275–i282 (2011).
Young, M. D., Wakefield, M. J., Smyth, G. K. & Oshlack, A. Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. 11, 1–12 (2010).
Mao, X., Cai, T., Olyarchuk, J. G. & Wei, L. Automated genome annotation and pathway identification using the KEGG Orthology (KO) as a controlled vocabulary. Bioinformatics 21, 3787–3793 (2005).
Acknowledgements
We thank the Shanghai Kangcheng Bioengineering Co., Ltd for supporting the high-throughput transcriptome analysis of lncRNA. This work was supported by National Key Research and Development Program of China (2021YFD1800402) and National Natural Science Foundation of China (31972723).
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Conceptualization: S.Y.; Formal analysis: X.G.; Funding acquisition: S.Y.; Investigation: X.G., H.H., M.T., H.Z.; Resources: X.G., C.D., H.Z.; Supervision: S.Y., C.D.; Visualization: X.G.; Writing-original: X.G.; Writing-review and editing: X.G., C.D., S.Y.
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Guan, X., Hu, H., Tian, M. et al. Differentially expressed long noncoding RNAs in RAW264.7 macrophages during Brucella infection and functional analysis on the bacterial intracellular replication. Sci Rep 12, 21320 (2022). https://doi.org/10.1038/s41598-022-25932-6
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DOI: https://doi.org/10.1038/s41598-022-25932-6
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