Adipose tissue (AT) can influence whole body homeostasis, therefore understanding the molecular mechanisms of adipocyte differentiation and function is of importance. We provide a protocol for gaining new insights into these processes by analyzing adipocyte homeostasis, differentiation and hypoxia exposure as a model for induced adipocyte apoptosis.
Considering that adipose tissue (AT) is an endocrine organ, it can influence whole body metabolism. Excessive energy storage leads to the dysregulation of adipocytes, which in turn induces abnormal secretion of adipokines, triggering metabolic syndromes such as obesity, dyslipidemia, hyperglycemia, hyperinsulinemia, insulin resistance and type 2 diabetes. Therefore, investigating the molecular mechanisms behind adipocyte dysregulation could help to develop novel therapeutic strategies. Our protocol describes methods for evaluating the molecular mechanism affected by hypoxic conditions of the AT, which correlates with adipocyte apoptosis in adult mice. This protocol describes how to analyze AT in vivo through gene expression profiling as well as histological analysis of adipocyte differentiation, proliferation and apoptosis during hypoxia exposure, ascertained through staining of hypoxic cells or HIF-1α protein. Furthermore, in vitro analysis of adipocyte differentiation and its responses to various stimuli completes the characterization of the molecular pathways behind possible adipocyte dysfunction leading to metabolic syndromes.
According to the 2014 report from the World Health Organization, 39% of the world's adult population is overweight, and 13% is obese 1. In the near future, overweight people will comprise a significant proportion of the elderly population. An important feature of obesity and aging is dysregulation of fat in relation to morbidity and mortality 2. Adipokines, proteins secreted by the adipose tissue (AT), can trigger metabolic syndromes such as obesity and type 2 diabetes 3. Metabolic diseases are mostly caused by excessive energy storage in the lipid droplets of adipocytes, which results in AT expansion 4. It is therefore of interest to determine the causes and the molecular mechanisms of AT expansion in order to find opportunities to control it.
Over-nutrition leads to AT expansion, which is regulated by two events: excessive energy storage into the lipid droplets of adipocytes, a process leading to hypertrophy (increase in adipocyte size), and increased adipogenesis, also known as adipocyte hyperplasia 5. Adipogenesis is a process of differentiation of multipotent mesenchymal stem cells (MSC) into adipocytes. Firstly, MSCs develop into preadipocytes during the commitment phase. Secondly, preadipocytes further differentiate to acquire the features of mature and functional adipocytes 6. Several transcription factors have been identified as master regulators for preadipocyte determination, such as zinc finger protein 423 (Zfp423) and early B cell factor 1 (Ebf1). Whereas Zfp423 induces early commitment, Ebf1 is required for the generation of adipocyte progenitors 6. Terminal differentiation is tightly controlled by a transcriptional cascade, whereby peroxisome proliferator-activated receptor γ (PPARγ) is the essential transcription factor 7. Further key transcriptional factors are the CCAAT/enhancer-binding protein (C/EBP) family members (i.e., C/EBPα, C/EBPβ, and C/EBPδ), kruppel-like factors (KLFs), cAMP responsive element binding protein (CREB) and early growth response 20 (Krox20) 6.
Recently, it has been shown that the activator protein-1 (AP-1) family is involved in the adipocyte differentiation process 8,9. The AP-1 family is formed by a dimeric protein complex, composed of Fos, Jun and/or activating transcription factor (ATF) members. Fos-related antigen 1 and 2 (Fra-1 and Fra-2) are able to regulate adipocyte differentiation. Fra-1 impairs adipocyte differentiation by inhibiting C/EBPα 8, whereas Fra-2 controls adipocyte turnover 9. Fra-2 thereby not only decreases the adipocyte number by repressing PPARγ2 expression during adipocyte differentiation, but also decreases adipocyte apoptosis through direct repression of hypoxia-inducible factors (HIFs) expression. The HIF family is a heterodimeric transcription factor complex, composed of HIF-1α, HIF-2α and HIF-1β. The heterodimers consist of an oxygen-sensitive HIF-α protein (HIF-1α or HIF-2α) and the oxygen-insensitive HIF-1β subunit 10. During normoxia, HIF-α proteins are poly-ubiquitinylated and are finally degraded by proteasomes 11. Under hypoxic conditions, occurring in AT during expansion, HIF-α proteins are no longer hydroxylated. They therefore become stabilized and form dimers with the constitutively expressed HIF-1β. Transcriptional activation of genes controlled by the HIF response elements is involved in the regulation of angiogenesis, metabolism, and inflammation 12. Indeed, HIF-1α promotes AT dysfunction by inducing glucose tolerance, inhibiting energy expenditure and peripheral use of lipid, as well as by increasing leptin level and HFD-induced hepatic steatosis 13. Moreover, HIF-1α regulates adipocyte apoptosis in vivo and in vitro9.
The present protocol describes methods for studying AT status to unravel the molecular characteristics of adipocyte homeostasis in adult mice. It shows how apoptosis, proliferation and differentiation of adipocytes in vivo and in vitro can be regulated by hypoxia. To do so, we use mice with adipocyte specific deletion of Fra-2 generated by crossing mice carrying the Fra-2 floxed alleles with Fabp4-CreERT mice 9. By using Fabp4-Cre ERT mice, the deletion is adipocyte specific and inducible by tamoxifen injection 14. For the adult model, intra peritoneal injections of tamoxifen are performed over 5 consecutive days starting at the age of 6 weeks. Thus, the mice are subjected to a normal diet or high-fat diet for 6 weeks before the analysis is done. The mice used in this study were male based on a C57Bl6 background to avoid female hormones, such as estrogens, shown to regulate the body fat distribution 15. Using another genetic background might also alter the metabolic phenotype, due to strain-related differences in lipid management 16.
This protocol demonstrates how to analyze AT under hypoxia using histology and how to quantify adipocyte apoptosis, proliferation and differentiation in vivo using immunohistochemistry and gene profiling analyses. The study is completed by in vitro experiments, showing how to analyze primary adipocyte differentiation and apoptosis altered by exposure to hypoxia.
ETHICS STATEMENT: Animals are housed in standardized conditions following the guidelines of the German Animal Welfare Act. Animals are fed a standard diet and water ad libitum and kept with a 12 hr day/night cycle. All experiments with animals are authorized by the local ethics committee.
1. In Vivo Analysis of Adipocyte Homeostasis in Adult Males
Figure 1: Location of the perigonadal fat pads in the peritoneal cavity of mice. Picture of perigonadal fat localization in adult mice after sacrifice. Perigonadal fat pads are indicated by the arrows. Please click here to view a larger version of this figure.
Component | Volume µl / reaction |
10x RT Buffer | 2.0 |
25x dNTP Mix (100 mM) | 0.8 |
10x RT Random Primers | 2.0 |
MultiScribe Reverse Transcriptase | 1.0 |
Nuclease-free H2O | 4.2 |
1 µg RNA | 10 |
Total per reaction | 20 |
Table 1: Components with respective volume for the reverse transcriptase reaction to generate single-stranded cDNA.
Official full name | Symbol | Sequence 3´–> 5´ | ||
Forward | Reverse | |||
Adipogenesis | Delta-like 1 homolog (pref-1) | Dlk1 | GACACTCGAAGCTCA CCTGG |
GGAAGGCTGGGACGG GAAAT |
Early B cell factor 1 | Ebf1 | CCACCATCGACTACGG CTTC |
TCCTGGTTGTTGTGGGG CATC |
|
Zinc finger protein 423 | Zfp423 | GTGCCCAGGAAGAAGA CGTA |
GGCGACGTGGATCTGA ATCT |
|
Fatty acid binding protein 4 (Ap2) | Fabp4 | TCACCTGGAAGACAGCT CCTC |
AAGCCCACTCCCACTTC TTTC |
|
CCAAT/enhancer binding protein (C/EBP), alpha | Cebpa | AAGAGCCGCGACA AGGC |
GTCAGCTCCAGCACCT TGTG |
|
CCAAT/enhancer binding protein (C/EBP), beta | Cebpb | TTTCGGGACTTGATGC AATC |
CCGCAGGAACATCTTT AAGG |
|
cAMP responsive element binding protein 1 | Creb1 | ACTCAGCCGGGTACT ACCAT |
TTGCTGCCTCCCTGTT CTTC |
|
CCAAT/enhancer binding protein (C/EBP), delta | Cebpd | CAGCGCCTACATTGAC TCCA |
GTTGAAGAGGTCGGCG AAGA |
|
Kruppel-like factor 4 | Klf4 | GCAGTCACAAGTCCCC TCTC |
TAGTCACAAGTGTGGG TGGC |
|
Early growth response 2 (Krox20) | Egr2 | AGGCGGTAGACAAAATC CCAG |
GATACGGGAGATCCAG GGGT |
|
Peroxisome proliferator activated receptor gamma | Pparg | AGAGGTCCACAGAGCTG ATTC |
GATGCACTGCCTATGAGC ACTT |
|
Lipogenesis | Acetyl-Coenzyme A carboxylase alpha | Acaca | TGGGGACCTTGTCTTCA TCAT |
ATGGGCGGAATGGTCTC TTTC |
Fatty acid synthase | Fasn | ACATCCTAGGCATCC GAGA |
CCGAGTTGAGCTGGGT TAGG |
|
Stearoyl-Coenzyme A desaturase 1 | Scd1 | CGGGATTGAATGTTCTTG TCGT |
TTCTTGCGATACACTCTG GTGC |
|
Lipolysis | Patatin-like phospholipase domain containing 2 | Pnpla2 | AAGGACCTGATGACCA CCCT |
CCAACAAGCGGATGGT GAAG |
Fatty acid uptake | Lipoprotein lipase | Lpl | GTATCGGGCCCAGCAA CATTATCC |
GCCTTGCTGGGGTTTTC TTCATTC |
CD36 antigen | Cd36 | GTCTTCCCAATAAGCATGT CTCC |
ATGGGCTGTGATCGGA ACTG |
|
Hypoxia | Hypoxia inducible factor 1, alpha subunit | Hif1a | CCTGCACTGAATCAAGAG GTGC |
CCATCAGAAGGACTTGCT GGCT |
Endothelial PAS domain protein 1 (also known as: HIF-2alpha) | Epas1 | CAAGCTGAAGCTAAAG CGGC |
TTGGGTGAATTCATCG GGGG |
|
Von Hippel-Lindau tumor suppressor | Vhl | ACCGAGGTCATCTTTG GCTC |
TTCCGCACACTTGGGT AGTC |
|
Aryl hydrocarbon receptor nuclear translocator (also known as: HIF-1beta) | Arnt | TGGGTCATCTTCTCGC GGTT |
TGTCCTATCTGAGCAT CGTG |
Table 2: List of genes with sequence of the respective primers used for analyzing adipocyte homeostasis.
Step | Temperature (°C) | Time (min:sec) | ||
Polymerase activation | Hold | 95 | 10:00 | |
PCR | 40 cycles | Denaturize | 95 | 0:15 |
Annealing/Extension | 60 | 1:00 | ||
Melting curve | 60 to 95 | 0.5 °C/sec |
Table 3: Real-time PCR conditions.
Figure 2: Characteristics of real-time PCR amplification curve. Please click here to view a larger version of this figure.
Figure 3: Analyzing adipocyte characteristics in fat pad sections. Section pictures of the perigonadal fat pad of male mice treated with a high-fat diet (HFD) or normal diet (ND) with a bright-field microscope (a); the threshold is adjusted into black and white (b) and the adipocyte size (length; c), area (d) and adipocyte cell number per mm2 (e) are quantified with ImageJ 1.48v. Please click here to view a larger version of this figure.
Stock concentration | dilution | |
Apoptosis | Cleaved Caspase-3 (Asp175) (5A1E) Rabbit mAb | 1:2,000 |
Proliferation | Purified Mouse Anti-Human Ki-67 Clone B56 (RUO) | 1:50 |
Hypoxia | HIF-1 alpha Antibody | 1:100 |
FITC-MAb1 | 1:100 |
Table 4: Antibodies with respective dilution used for the immunohistological staining of AT sections.
Antibody | dilution |
biotinylated anti mouse IgG (H+L) | 1:200 |
biotinylated anti mouse IgG (H+L) | 1:200 |
HRP conjugates rabbit anti-FITC | 1:100 |
Table 5: Secondary antibodies with dilution used for immunohistological staining.
2. In Vitro Analysis of Adipocyte Homeostasis Influenced by Hypoxia
Figure 4: Location of the subcutaneous fat pads. Picture of subcutaneous fat pad; the left arrows indicate the subcutaneous fat pad and the right arrow indicates the inguinal lymph node. Please click here to view a larger version of this figure.
Figure 5: Adipocyte apoptosis analysis by flow cytometry. Dot plot presentations of the FACS for Annexin V-FITC and TO-PRO-3 staining of adipocytes. Please click here to view a larger version of this figure.
We show how to determine adipocyte homeostasis in vivo and in vitro using the example of Fra-2fl/fl Fabp4-CreERT mice compared to wild-type littermates. Our protocol defines how increased HIF expression by hypoxia is correlated with adipocyte dysfunction as indicated by increased adipocyte apoptosis.
Increased adipocyte size and area in high-fat diet (HFD) treated mice
Over-nutrition, among other factors, results in adipocyte hypertrophy, caused by excessive energy storage in the lipid droplets. The adipocyte size and area is an indicator of hypertrophy. Sections of the fat pad from normal (ND; Figure 6a) and high-fat diet (HFD; Figure 6b) mice as well as quantifications of the adipocyte size and area clearly show adipocyte hypertrophy after 6 weeks of HFD, which is indicated by increased adipocyte size in the HFD treated mice (Figure 6c and d).
Increased hypoxia in the adipose tissue (AT) of adult Fra-2fl/fl Fabp4-CreERT mice leads to increased HIF-1α level and adipocyte apoptosis
To determine the in vivo status of hypoxia in AT, Fra-2fl/fl Fabp4-CreERT mice are analyzed 6 weeks after Fra-2 deletion at the age of 12 weeks and compared with wild-type littermates. Pimonidazole is administered to the mice intraperitoneally as an effective hypoxia marker; it is nontoxic and able to distribute into the AT. Hypoxic adipocytes in the AT in vivo are defined by immunohistochemical antibody staining (Figure 7a). Furthermore, the increased hypoxic status of the AT in mice is accompanied by increased HIF-1α positive adipocytes as indicated by the immunohistochemical staining Figure 7b), which is confirmed by quantification of HIF-1α expression levels and its targets genes 9. Additionally, TUNEL staining of AT sections from Fra-2fl/fl Fabp4-CreERT mice and control littermates (Figure 7c) shows that increased adipocyte apoptosis is correlated with the presence of hypoxia and HIF-1α expression.
Increased HIF-1α expression in primary adipocytes through hypoxia induced adipocyte apoptosis
To analyze adipocyte apoptosis in vitro, we use adipocytes generated from subcutaneous fat pads as described elsewhere 20. As expected, the HIF-1α expression in adipocytes is increased after 24 hr of hypoxia (Figure 8a). To further analyze HIF-1α activities, the RNA levels of HIF target genes such as Inos (inducible nitric oxide synthase) are quantified by qPCR. Figure 8b shows that the increased expression of HIF-1α under hypoxic conditions leads to increased Inos mRNA level. Since we have already shown in vivo (Figure 8) that increased HIF-1α expression in adipocytes correlates with increased adipocyte apoptosis, apoptosis is also quantified in in vitro cultures by Annexin V staining under hypoxic conditions. Consistent with the in vivo data (Figure 7), an increased HIF-1α level is accompanied by increased adipocyte apoptosis induced by hypoxic conditions (Figure 8b). Moreover, to prove that hypoxic-induced apoptosis is HIF-dependent; HIF-1α or HIF-2α is silenced by RNA interference in adipocytes derived from wild-type or Fra-2 deficient mice. The increased adipocyte apoptosis is restored by silencing HIF-1α or HIF-2α as shown by Annexin V staining in Figure 8b, proving that the hypoxia sensor HIF-α regulates the adipocyte apoptosis.
Figure 6: Increased adipocyte size and area in high-fat diet (HFD) mice. (a, b) H&E staining of sections from the perigonadal fat pad of male wild-type mice fed with normal diet (ND) (a) or high-fat diet (HFD) (b) for 6 weeks. Bars represent 500 μm. (c, d) Quantifications of adipocyte size (c) and area (d) from the perigonadal fat pad of wild-type mice fed with ND (a) or HFD (b) for 6 weeks. n = 10. Data are shown as mean values ± SEM. Statistical analysis was performed using Student´s t-test. ***p <0.0001.Please click here to view a larger version of this figure.
Figure 7: Increased HIF-1α level and apoptosis in adipocytes of adult Fra-2fl/fl Fabp4-CreERT mice. Hypoxia (a) and HIF-1α (b) staining in the AT of male Fra-2fl/fl Fabp4-creERT mice and male control littermates 6 weeks after tamoxifen injection. Magnification 20X, insert 40X. Black arrows indicate hypoxic areas and HIF-1α positive cells. (c) TUNEL staining in Fra-2fl/fl Fabp4-CreERT mice and control littermates AT 6 weeks after tamoxifen injection. Magnification 20X, insert 40X. Black arrows indicate TUNEL positive cells. This figure has been modified from Luther et al. 9. Please click here to view a larger version of this figure.
Figure 8: Increased HIF-1α expression and adipocyte apoptosis in primary adipocytes induced by hypoxia. (a) Real-time PCR analysis of HIF-1α and HIFs target Inos mRNA levels in primary adipocytes placed in hypoxic chambers analyzed at the indicated time points. (b) Quantification of apoptosis by Annexin V FACS staining in primary adipocytes isolated from Fra-2fl/fl Fabp4-CreERT mice or wild-type controls transfected with sh control or sh plasmid against HIF-1α or HIF-2α and placed under hypoxia (1% O2) for 24 hr. This figure has been modified from Luther et al. 9. Data are shown as mean values ± S.D. Statistical analysis was performed using Student's t-test. *P <0.05 and **P <0.01 were accepted as significant. Please click here to view a larger version of this figure.
Adipocytes are characterized phenotypically by their size, numbers and area, revealing adipocyte hyperplasia and hypertrophy, induced by excessive energy storage due to over-nutrition 5. These events leading to fatty acid dysregulation and subsequent metabolic syndromes are also states of increased fat mass with preserved metabolisms, which is also referred to as "healthy" fat expansion. For example, Kusminski et al. 21 showed that mice with massive fat expansion remain metabolically healthy, suggesting that fat expansion is not necessarily linked to metabolic syndromes and needs to be carefully determined to evaluate the characteristics of the adipocytes. The adipose tissue (AT) plays a pivotal role in the regulation of body metabolism. AT is the biggest endocrine organ that could influence dyslipidemia, atherosclerosis, hyperinsulinemia and hyperglycemia 3. Evaluating AT homeostasis and the molecular mechanisms regulating it could allow a better understanding of metabolic system disorders. Therefore, unravelling the mechanisms regulating adipocyte differentiation, adipocyte size and fat pad mass would help to develop new therapeutic treatment for obesity disorders. Using in vivo and in vitro methods, it is possible to determine the role of food and gene expression impacts on adipocyte differentiation and activity. To determine the AT homeostasis, determining the balance between adipocyte differentiation, proliferation and apoptosis as suggested by our protocol is as important as analyzing the glucose and insulin metabolic response 22-24.
Expression profiling analyses of genes involved in adipogenesis, lipogenesis, lipolysis, fatty acid uptake, hypoxia, apoptosis and proliferation in primary adipocytes and visceral AT is a high throughput method for obtaining an overview on adipocyte homeostasis and their possible dysfunction. Interesting candidates should be further analyzed at the protein level by western blot or immunohistological staining. To obtain optimal results through real-time PCR system using unsymmetrical cyanine dyes, the concentrations of cDNA ranging from 1 to 10 ng and the optimal primer concentrations ranging from 50 to 900 nM should be tested to minimize nonspecific amplification. The critical components are the primers; for each run, the melting curves need to be strictly controlled to ensure the specificity and to exclude the formation of primer dimers. Therefore, using a negative control with H2O instead of cDNA is recommended. Furthermore, commercial available unsymmetrical cyanine dyes are provided as master mixes that contain a passive reference dye (such as ROX) to provide an internal reference signal. The cDNA signal is normalized during data analysis to the ROX signals to correct well-to-well signal fluctuations. Another point to be considered in order to establish a good qPCR system is the choice of the housekeeping gene. For each condition, several housekeeping genes are used, e.g., HPRT, β-actin, GAPDH, β-2-MG or HSP90.
HIF proteins stabilized by hypoxic conditions are master regulators determining not only adipocytes survival, but also metabolic changes, such as glucose, insulin tolerance and lipid metabolism 11,25,26. To ascertain hypoxic areas in the fat pad, HIF-1α is determined in AT sections by immunohistochemistry. Since HIF proteins are rapidly degraded within 5 to 10 min under normoxic conditions, the procedure and the fixation of the fat pad for the histological analysis should be tightly controlled to avoid latency time. Therefore, to ensure hypoxia not only through HIF staining, pimonidazole is used to determine hypoxic areas in the AT. Pimonidazole is able to distribute into tissues, as it was already shown in bones 27, and effectively mark hypoxic areas by binding to thiol-containing proteins specifically in hypoxic cells, which is further detected in histological sections by specific antibody binding 28. However, other markers and methods can be used to analyze the hypoxia pathway. For example, the involvement of the prolyl hydroxylase (PHD) enzyme, which induce hydroxylation of proline residues under normoxia, as well as the von Hippel-Lindau (VHL) protein, which recognize hydroxylated prolines and induce the poly-ubiquitination to mediate proteasomal HIF degradation, need to be analyzed for a full overview of the pathway 29,30. Moreover, ubiquitous detection of HIFs would also determine the protein stability and degradation that can be alter 31,32.
Furthermore, proliferation by Ki67 and apoptosis by TUNEL staining are determined in vivo through staining of AT histological sections. Quantification of proliferation by Ki67 and apoptosis by TUNEL or Annexin V staining through flow cytometry analysis is also carried out 33. Proliferation could of course be measured by other techniques such as the analyses of the adipocyte cell cycle, which is not addressed by the measurement of Ki67 positive cells. Moreover, apoptosis study by TUNEL can be completed by FACS analyses of Annexin V and TOP-PR-3 which will determine the levels of necrosis versus the apoptosis cell death process. Apoptosis is a fundamental process for the program of cell death, which is important for AT homeostasis. Indeed, dysregulation of adipocyte apoptosis has been implicated previously in processes contributing to obesity and lipodystrophy 34. Moreover, in 2011, Keuper et al. linked adipose tissue inflammation to adipocyte apoptosis. They showed that macrophages induced apoptosis in preadipocytes and adipocytes, which in turn attract macrophages. The recruitment of macrophages accelerates inflammation, which contributes to metabolic syndromes such as glucose and insulin tolerance 35. However, adipocyte apoptosis is still a poorly studied phenomenon, despite the hypothesis that induced adipocyte apoptosis could lead to decreased weight.
The present protocol uses immunohistochemical approaches to study different phenomenon such as proliferation, apoptosis and hypoxia in vivo. Therefore, the tissue was fixed with 4% formaldehyde, which is a critical step. An extended tissue fixation time leads to change of the epitopes, which become non-accessible for the antibody. In contrast, a short fixation time increases the sensitivity of epitopes to reagents. The recommended optimal time of fixation is 24 hr. Moreover, the thickness of the sections also influences the antibodies binding to their epitopes; optimal thickness is between 2 and 5 µm. Sections thicker than 5 µm will give false positive results due to increased binding sites. In contrast, sections thinner than 2 µm contain less binding sites and positive areas are not well defined. Further critical factors are the antibody itself, incubation time, concentration and even temperature, which influence the quality of the specific binding to the epitopes. Therefore, validating antibody concentration and incubation time is necessary for each condition.
To complete the study, we provide an in vitro adipocyte differentiation protocol, which could be extended by different treatments, stimulation or co-cultures. By using in vitro adipocyte cultures, it is feasible to determine defects in adipocyte differentiation and functions. To obtain reliable results, as for all primary cells, the healthy behavior and appearance of the ADSCs and adipocytes is quite important. The granularity, cytoplasmic vacuolations and/or detachment are signs of deterioration, indicating inadequate medium, microbial contamination or senescence of the primary cells. This protocol is using isolated adipocytes from the fat pad tissue, whereas it is as well possible to use mesenchymal stem cell isolated from bone marrow as described by other protocols 36. The latest includes stromal progenitor cells, which might reflect additional differentiation problems occurring at the very early step of adipocyte differentiation, this might be missed in our current protocol. Moreover, ADSCs can be expanded rapidly (more than 10 times within one week), and long-term cultured ADSCs after some passages still retain their mesenchymal pluripotency 37,38. Another advantage using ADSCs is that one can easily switch to human, since ADSCs can be harvested from patients by liposuction which is a simple and minimally invasive method.
As AT influences several other organs in an endocrine manner, the protocol should be extended to adipokines. Adipokines, such as leptin, adiponectin, tumor necrosis factor-α (TNF) and resistin, secreted by adipocytes are known to affect metabolic diseases by controlling fat metabolism, energy homeostasis and insulin sensitivity 39. Therefore, serum and adipocyte secretome analyses should be performed. In the case of AT dysfunction, adipokines and pro-inflammatory cytokines, such as IL-6, can lead to dysregulation of organs such as the liver and pancreas, and of muscle function 4. In order to exclude systemic organ dysfunction, animal models or cell cultures could be tested for their response to glucose stimulation and uptake.
Here we provide a protocol for analyzing the basic state of the AT and adipocytes in vivo and in vitro to reveal molecular mechanisms of adipocyte homeostasis and functionality.
The authors have nothing to disclose.
The authors would like to kindly thank Dr. J. Luther and K. Ubieta for preparing the data and Dr. B. Grötsch for proofreading the manuscript. This work was supported by the Deutsche Forschungsgemeinschaft (BO3811/1-1-Emmy Noether).
RNAlater solution | Ambion | AM7021 | RNA stabilization solution |
High-Capacity cDNA Reverse Transcription Kit | Applied Biosystems | 4368813 | |
SYBR Select Master Mix | 4472908 | ||
Purified Mouse Anti-Human Ki-67 | BD Biosciences | 550609 | Clone B56 (RUO) |
Purified Mouse Anti-Human Ki-67 Clone B56 (RUO) | 550609 | Proliferation marker | |
FITC Annexin V | BioLegend | 640906 | |
Cleaved Caspase-3 Rabbit mAb | Cell signalling | 9664S | Clone 5A1E |
Cleaved Caspase-3 (Asp175) (5A1E) Rabbit mAb | 9664 | Apoptosis marker | |
Hypoxyprobe-1 Plus Kit | Hypoxyprobe | HP2-200Kit | Hypoxia marker, Solid pimonidazole HCl (Hypoxyprobe-1), FITC conjugated to mouse IgG₁ monoclonal antibody (FITC-MAb1), Rabbit anti-FITC conjugated with horseradish peroxidase |
Lipofectamine2000 Reagent | Invitrogen | 11668-027 | |
TO-PRO-3 Iodide | T3605 | Nuclear counterstain, Monomeric cyanine nucleic acid stain, Excitation⁄Emission: 642⁄661 nm | |
Mayer’s hemalum | Merck | 109249 | hematoxylin |
pegGOLD TriFast | Peqlab | 30-2030 | TRIzol, single-phase solution of guanidinisothiocyanat and phenol |
Percellys Ceramic Kit 1.4 mm | 91-PCS-CK14 | tubes containing ceramic beads (1.4 mm) | |
Precellys 24 | 91-PCS24 | homogenizer | |
HIF-1 alpha Antibody | Pierce | PA1-16601 | |
HIF-1 alpha Antibody, 16H4L13 | 700505 | Hypoxia marker | |
In Situ Cell Death Detection Kit, Fluorescein | Roche | 11 684 795 001 | TdT-mediated dUTP-biotin nick end labeling (TUNEL) |
Eosin | Sigma | 318906 | |
DNase I Solution (1 unit/µL) | Thermo Scientific | EN0525 | |
biotinylated anti mouse IgG (H+L) | Vector Laboratories | BA-9200 | |
biotinylated anti mouse IgG (H+L) | BA-1000 | ||
Vectastain ABC Kit | PK-4000 | ||
VECTASHIELD Mounting Medium with DAPI | H-1200 |