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. 2005 Dec 27;107(8):3359–3370. doi: 10.1182/blood-2005-07-2888

A global role for EKLF in definitive and primitive erythropoiesis

Denise Hodge 1, Elise Coghill 1, Janelle Keys 1, Tina Maguire 1, Belinda Hartmann 1, Alasdair McDowall 1, Mitchell Weiss 1, Sean Grimmond 1, Andrew Perkins 1
PMCID: PMC1895762  PMID: 16380451

Abstract

Erythroid Kruppel-like factor (EKLF, KLF1) plays an important role in definitive erythropoiesis and β-globin gene regulation but failure to rectify lethal fetal anemia upon correction of globin chain imbalance suggested additional critical EKLF target genes. We employed expression profiling of EKLF-null fetal liver and EKLF-null erythroid cell lines containing an inducible EKLF-estrogen receptor (EKLF-ER) fusion construct to search for such targets. An overlapping list of EKLF-regulated genes from the 2 systems included α-hemoglobin stabilizing protein (AHSP), cytoskeletal proteins, hemesynthesis enzymes, transcription factors, and blood group antigens. One EKLF target gene, dematin, which encodes an erythrocyte cytoskeletal protein (band 4.9), contains several phylogenetically conserved consensus CACC motifs predicted to bind EKLF. Chromatin immunoprecipitation demonstrated in vivo EKLF occupancy at these sites and promoter reporter assays showed that EKLF activates gene transcription through these DNA elements. Furthermore, investigation of EKLF target genes in the yolk sac led to the discovery of unexpected additional defects in the embryonic red cell membrane and cytoskeleton. In short, EKLF regulates global erythroid gene expression that is critical for the development of primitive and definitive red cells.

Introduction

CACC motifs are common proximal promoter elements in many erythroid genes. For example, the proximal promoters of all of human and mouse β-like and α-like globin genes contain CACC motifs that are important for transcriptional activation in transient reporter assays and transgenic mice.1-5 The critical nature of CACC-binding proteins is best highlighted by natural mutations in the 2 CACC motifs within the human β-globin gene promoter, which lead to β+-thalassemia from promoter dysfunction.6 A large number of studies demonstrated CACC-box dependence of many other erythroid gene promoters in vitro.7-12

There are many CACC-box binding activities within erythroid cells including SP1 and other ubiquitously expressed nuclear factors.13 In 1993, erythroid Kruppel-like factor (EKLF, KLF1),14 the founding member of the KLF family15,16 of transcription factors, was discovered and shown to bind CACC-box or GC-rich motifs through 3 C-terminal SP1-like C2H2 zinc fingers.14 Unlike SP1, mouse and human EKLF are uniquely expressed in erythroid cells of yolk sac, fetal liver, spleen, and bone marrow.14,17 EKLF functions as a transcriptional activator of many erythroid gene promoters in transient reporter assays,9 including the mouse and human β-globin promoters.15,18 In some contexts EKLF may function as a transcriptional repressor, perhaps through recruitment of corepressors such as Sin3A,18 but the importance of this for in vivo function is not clear.

EKLF knockout mice die of anemia by embryonic day 16 (E16),19,20 demonstrating nonredundant in vivo erythroid functions. EKLF-null embryos have a profound defect in β-globin gene expression, but α-globin is relatively spared. There is also iron overload in the fetal liver reticulo-endothelial system and erythroid cells, consistent with ineffective erythropoiesis.20 In the absence of EKLF there is no human β-globin gene expression in transgenic mice that contain the human β-globin locus, and there is persistence of γ-globin gene expression in the fetal liver.21,22 This result has raised interest in pharmacologic suppression of EKLF as a strategy to raise fetal hemoglobin in patients with β-hemoglobinopa-thies such as sickle cell disease and β-thalassemia. However, this approach is potentially dangerous without a more thorough knowledge of potential EKLF target genes.

Although EKLF knockout mice share many characteristics with human β-thalassemia major, the EKLF-/- phenotype is more severe than that generated by deletion of both the β-minor and β-major genes themselves,23 suggesting EKLF-/- erythroid cells have additional nonglobin defects. Furthermore, correction of the α-like-to-β-like globin chain ratio in EKLF-null embryos via transgenic approaches fails to restore red cell morphology or survival.24 This result also argues strongly for additional nonglobin defects in EKLF-null red cells. Knockdown of EKLF to 20% of endogenous levels in the erythroid cell line J2E resulted in poor hemoglobinization in response to erythropoietin and reduced expression of many heme-synthesis enzymes including δ-amino levulinic acid synthase (ALAS-E or ALAS2), ferrochelatase (Fech), 5-aminolevulinic acid dehydratase (Alad), and porphobilinogen deaminase (PBGD).25 Also, immortalized erythroblast cell lines derived from EKLF-null fetal livers demonstrated robust hemoglobinization and morphologic maturation upon restoration of EKLF function.26 Together, these experiments argue that EKLF plays a broad role in gene expression that accompanies terminal erythroid differentiation.

To undertake a nonbiased, genome-wide search for EKLF target genes, we performed expression profiling on EKLF-null E14.5 fetal liver cells and also on an EKLF-null cell line, B1.6, that undergoes EKLF-dependent erythroid maturation.26 This combined approach allowed us to circumvent technical problems associated with either approach and narrow the list of potential EKLF-regulated genes to approximately 100. The list includes genes encoding erythroid differentiation-related factor/α-hemoglobin stabilizing protein (EDRF/AHSP),27 dematin (band 4.9), heme-synthesis enzymes, blood group antigens, transcription factors, and other proteins. We verified a number of target genes and demonstrated direct EKLF gene activation of dematin. In addition, we found that EKLF is influential during primitive erythroid cell differentiation. In short, our findings demonstrate that EKLF plays a much broader role in both primitive and definitive erythropoiesis than previously suspected. It is essential for integrity of the red cell membrane, cytoskeleton, heme synthesis, and globin gene expression in both definitive and primitive red cells.

Materials and methods

Genotyping

Genotyping of the EKLF-null mice was performed by polymerase chain reaction (PCR) with primer pairs that recognize neoR in the targeted locus or a region within the zinc fingers deleted by the targeting event. Primer sequences and PCR conditions are available upon request.

Expression profiling

Total RNA was prepared from fetal livers and cell lines using Trizol or RNA-Easy kits (Invitrogen, Carlsbad, CA). EKLF was induced in EKLF-estrogen receptor (EKLF-ER) cell lines, B1.626 by addition of 200 mM hydroxyl-tamoxifen (Sigma, St Louis, MO), or 0.01% ethanol as a vehicle control in 10% FCS/high-glucose DMEM for 6 hours. RNA quantity and quality was determined using an Agilent Technologies 2100 Bioanalyser (Palo Alto, CA). RNA was linearly amplified using the messageAMP aRNA kit (Ambion, Austin, TX). Labeled samples were hybridized to 22K Compugen mouse long-oligonucleotide microarrays (Compugen, San Jose, CA) and analyzed using previously described methods.28,29 All data and rankings used to define statistically robust differential expression were exported into GeneSpring 7.2 (Agilent Technologies, PaloAlto, CA) for visualization. Full documentation of experimental parameters and raw data are available for download in accordance with MIAME guidelines30 via a Signet interface (Agilent Technologies).

Real time RT-PCR

cDNA was made from total RNA using superscript III (Invitrogen) according to the manufacturer's recommendations. For dematin, reverse transcriptase-PCR (RT-PCR) primers were designed to dematin exons to amplify alternative 5′ transcripts. For validation of target gene expression, primer pairs were designed to cross intron-exon boundaries (Table 1). Quantitative real-time RT-PCR reactions were performed using an ABI-Prism 7500 (Applied Biosystems, Foster City, CA) and SYBR green incorporation. The PCR cycles for all primer sets were as follows: denaturation at 95°C for 10 minutes, followed by 45 cycles of 94°C for 15 seconds and 60°C for 1 minute. Each sample was run in triplicate with biologic replicates for each condition.

Table 1.

Real-time RT-PCR primers

cDNA Primer sequences Product, bp
HPRT Forward: 5′-GCA GTA CAG CCC CAA AAT GG 85
Reverse: 5′-AAC AAA GTC TGG CCT GTA TCC AA
Pgk1 Forward: 5′-GGG TCG AGC TAA GCA GAT TG 102
Reverse: 5′-GCT TTC ACC ACC TCA TCC AT
Epb4.9 Forward: 5′-ACC GCA TGA GGC TTG AGA GG 114
Reverse: 5′-TCT TCT TAA GTT CGT TCC GCT TCC
Dfy Forward: 5′-CAG GCT GTA GTC ACT CGA GAG TTC AT 115
Reverse: 5′-GGA ACT GTC TGT ATC CGG TGG A
Icam4 Forward: 5′-CCT GTT ATG TTG ACA GTC CTC GCT TT 107
Reverse: 5′-ACG TAG ACA GCC CCC ACA GC
Mgst3 Forward: 5′-CGC ATA TGG CTA CTA CAC AGG AGA CC 118
Reverse: 5′-CCA GCC GAG ATG CTG GAA AG
Lgals Forward: 5′-CGG GAG CAT CAC AGA GGT GT 115
Reverse: 5′-GTA GTT GAT GGC CTC CAT GTT GA
Snca Forward: 5′-GAC CAG ATG GGC AAG GGT GA 128
Reverse: 5′-GCT TCA GGC TCA TAG TCT TGG TAG C
Rhced Forward: 5′-GGT GAC TGG ACT CCT CAC AGG TT 109
Reverse: 5′-AAC CGC CAA GTG TGG GAA CT
Tfrc Forward: 5′-GGA AAT CAA TGA TCG TAT TAT GAA AGT GG 91
Reverse: 5′-CCA GAA GAT ATG TCG GAA AGG AGA CT
LMO2 Forward: 5′-TGC AGG AGA GAC TAT CTC AGG CTT T 100
Reverse: 5′-TGT CTT TCA CCC GCA TCG TC
Bzrp Forward: 5′-GCA GAT GGG CTG GGC CTT 135
Reverse: 5′-AGG CCA GGT AAG GGT ACA GCA A
Acp3 Forward: 5′-GGA CAT GAC CAC AAC CTG CAG TAT 103
Reverse: 5′-TTC GTT GAT GTC GCA CAG AGG
Ermap Forward: 5′-GGG ATG TGC CGT GTC AGG 110
Reverse: 5′-AGA AAC TCC GGA GTG AAC TGA AGT
AHSP Forward: 5′-CTC AGC ACC ATT AGA CTT GAA 96
Reverse: 5′-TGC TGA TCC AGC AGA ACA TTA AAC TC

Western blotting

Protein was extracted from cells using RIPA buffer, and Western blotting was performed by standard techniques with proteins detected by enhanced chemiluminescence (ECL; Amersham Biosciences, Piscataway, NJ). Blots were blocked in 5% milk powder in PBS-0.1% tween20 (PBT) and probed with primary antibodies (1:500) to dematin (BD Biosciences, Franklin Lakes, NJ), AHSP,27 and γ-actin (sc-1616; Santa-Cruz Biotechnology, Santa Cruz, CA) and relevant secondary-HRP antibodies at 1:2000 dilution in PBT (Amersham Biosciences).

FACS

Fetal liver or primitive erythroid cells were passed through a 23-gauge needle, filtered through a 70-μM cell strainer, washed, and resuspended in fluorescent-activated cell sorting (FACS) buffer (PBS, 1% FCS, 10 mM EDTA) at a concentration of 5 × 106 cells/mL. Antibodies TER119-PE, CD117-FITC, and CD71-FTIC (BD Biosciences) were used at 1:200 concentration. Dead cells were detected with propidium iodide. Analysis was performed on a FACSCalibur (BD Biosciences).

Scanning electron microscopy

E11.5 blood cells were centrifuged at 500g onto coverslips fixed in 100% ethanol, critical-point dried, and platinum coated for imaging in a 6300F JEM JEOL scanning electron microscope (JEOL PTY, Tokyo, Japan) according to standard protocols. Images were acquired through ImageSlave 2.14 software (OED, Hornsby, Australia) and processed using Adobe Photoshop 7.01 (Adobe Systems, San Jose, CA).

Bioinformatics

The evolutionary conserved region (ECR) Browser interface31 was used to navigate through regions of human-rat-mouse alignments. Multiple sequence alignment of regions of choice was performed using a threaded blockset aligner (tba).32 Sequences (12.5 kb) from the upstream gene FGF17 to a region in intron 2 of dematin were aligned via the link to Mulan.32 ECRs of more than 100 bp of greater than 70% identity were identified. EKLF binding sites (CCNCNCCC)33 and GATA-1 binding sites (WGATAR)34 were found using the user-defined motif search tool of rVISTA35 within the Mulan interface.32 All human sites as well as phylogenetically conserved sites were identified and graphically represented using Mulan.

ChIP

Chromatin immunoprecipitation (ChIP) assays were performed essentially as previously reported.36,37 Briefly, after induction of B1.6 cells with tamoxifen for 12 hours, ChIP was performed with an ERα antibody (Ab-10; Neomarkers, Fremont, CA) or an irrelevant mouse IgG1 isotype control. Alternatively, ChIP was performed with a rabbit polyclonal antibody raised against the N-terminus of EKLF or preimmune rabbit sera. After formaldehyde fixation (0.4%), chromatin was fragmented to approximately 500 bp by sonication, DNA was precleared with protein G-sepharose, antibody (3 mg/mL) was added (ERα, mIgG1, EKLF, or rabbit IgG) and incubated overnight at 4°C. Following elution and extraction, immunoprecipitated DNA was analyzed by real-time PCR. Primers were designed to amplify 100- to 200-bp amplicons centered on CACC sequences within the ECRs (Table 2). To determine EKLF occupancy, Δ cycle threshold (ΔCT) relative to input DNAs was calculated for each of the 4 conditions and expressed as a percentage of input.

Table 2.

Primers for real-time PCR analysis of ChIP material

Target region Central CACC site sequence Product size, bp, or reference Primer sequences
β-Major globin CCACACCCT Letting et al37 Forward: 5′-GAC AAA CAT TAT TCA GAG GGA GTA CCC
Reverse: 5′-AGG TGC ACC ATG ATG TAT GTT TAT GG
Nectin N/A Letting et al37 Forward: 5′-TTT ACA TAA GCC TAG TGG TAC CCT
Reverse: 5′-ATC GCT GTC CTG CAT CTC ACA GTC G
ECR a TGGGTGCGGC 139 Forward: 5′-AAT GAG AGG GTG GGT GGT TT
Reverse: 5′-CGG AAG ACC CCC TTC AAC
ECR 1 CCCCACCCT 223 Forward: 5′-CTT GGT GGC CTG AGA AAA GG
Reverse: 5′-ACA GGC TCC AGC TAG GTC AC
ECR 2 AGGGAGAGT 205 Forward: 5′-CAT GCC AGG GAG CTG TGA
Reverse: 5′-AGC TCT GCC CAA CAC ATG G
ECR 3 (1&2)* 1-TCCCACCCC 140 Forward: 5′-AGG GAG ATC AGA CCG CTG AG
2-GCCCACCCA Reverse: 5′-GAG GCA GCT TCT CCA GGA AC
ECR 3 (3)* AGGGTGGGG 185 Forward: 5′-ACT CGG ACT CCC CAG CTC
Reverse: 5′-GAA GGA GGG GAG CTG GTC
ECR 3 (4)* GCCCGCCCT 103 Forward: 5′-CGC CAC TAT CAG TTG TTG G
Reverse: 5′-CAG TCC CCT GCT GCT CTG
ECR 6 CCCCTCCCC 179 Forward: 5′-CCC TTC CTG TCT CCT CCA GT
Reverse: 5′-CTA TTG GGG CAA AGC TAG GA
ECR 7 AGGGTGGGG 169 Forward: 5′-CTT GGT CTT CCA GAG GGA TG
Reverse: 5′-AGC CTT GGA GGA GGA GCT A
ECR 8 (1)* CCACGCCCT 169 Forward: 5′-GGA GAG GAG ATG CGC TGA
Reverse: 5′-CTA TGA GGC AGG GGA AGA GA
ECR 8 (2)* CCCCTCCCT 182 Forward: 5′-GCA CTC CTG TAG CCT ATC CTG
Reverse: 5′-TGC CAA GAC AAC CTC CTG
ECR 10 AGGGTGGGG 196 Forward: 5′-GTC CAG GCT CAA CCT TTC C
Reverse: 5′-TGG GCT TCG TTC TCC ATA AA
ECR 12 (1)* CCCCTCCCTC 144 Forward: 5′-GCT GGA GAC AGC TTC AAA GG
Reverse: 5′-GCA AGA AAG GAA ACA GTG AGG
ECR 12 (2&3)* 2-CCCCTCCCT 162 Forward: 5′-CCT CCG ATT ATT GCA GGA
3-GCCCACCCC Reverse: 5′-CCG AGA AAG GCC TGA GAA G
ECR 12 (4)* CGGGAGGGT 141 Forward: 5′-CCA TCA CAA AGA GCC TTA ATC C
Reverse: 5′-GGG TGT TGC CCC AGT TTT A
*

Parenthetic values indicate CACC sites within the ECR

Promoter-reporter assays

Genomic DNA incorporating 1 kb upstream of the published dematin transcription start site38 (P3; -1to -1000) or 1 kb upstream of a discovered erythroid promoter (P2; -8267 to -9269) were cloned into the Asp718 and Bgl2 sites of pGL3-Basic (Promega, Madison, WI) and checked by sequencing. SL2 insect cells were cotransfected with the promoter constructs and an insect cell expression vector for EKLF, pPAC-EKLF, as previously reported.5 Normalizations were performed by cotransfection of a Renilla expression vector, pRL-TK (Promega). The Dual-Luciferase Reporter Assay system (Promega) and a POLARstar OPTIMA machine (BMG Labtech, Offenberg, Germany) were used to measure luciferase and renilla activities sequentially in the same sample.

Results

EKLF-dependent genes in the fetal liver

To undertake a genome-wide search for EKLF target genes we used expression-profiling analysis to compare fetal liver mRNAs from E14.5-day-old EKLF-null embryos to wild-type littermate controls. At this time, the fetal liver is almost exclusively composed of erythroid cells. EKLF-null fetal livers are less cellular (35%) than littermate controls, with the major loss being in the late erythroblasts and enucleated red cells.20 A scatter plot of the average expression profiles is shown in Figure 1A. Many more genes are downregulated (600 > 2-fold; Figure 1A green dots) in EKLF-null fetal liver than upregulated (290 > 2-fold; Figure 1A red dots), suggesting EKLF functions primarily as a transcriptional activator in vivo. β-Globin, a known in vivo EKLF target gene,19,20 was one of the most highly EKLF-dependent genes on the array (Figure 1A; Table 3), validating our experimental system. Also, EKLF itself, which is genetically defective in EKLF-null fetal liver cells, was highly downregulated as expected (Figure 1A). Many erythroid-specific genes were significantly downregulated in EKLF-null fetal liver cells, including AHSP (a small protein that binds free α-globin chains),27 dematin (a key red cell cytoskeletal protein),38 heme-synthesis enzymes, and pyruvate kinase, and many important transmembrane proteins including the transferrin receptor 1 (TfR1) and blood group antigens (Rh-cde, Duffy, ICAM4/LW, and Ermap/Scianna).

Figure 1.

Figure 1.

EKLF plays a global role as a transcriptional activator in vivo. (A) Scatter plot of gene-expression profiling from EKLF+/+ and EKLF-/- E14.5 fetal livers. Green dots indicate genes that have been downregulated when EKLF is absent; red dots, genes that have been upregulated when EKLF is absent; and yellow dots, genes that are not significantly altered. (B) Relative expression levels of putative EKLF target genes in E14.5 EKLF-/- fetal livers compared with EKLF+/+. Levels were measured by real-time PCR and normalized to hypoxanthine phosphori-bosyltransferase (HPRT). Data are presented as mean ± SEM, n = 3. (C) Scatter plot of gene expression from the control EKLF-ER cell line B1.6 and tamoxifen-treated cells. (D) Relative expression levels of putative EKLF target genes in tamoxifen-treated B1.6 cells compared with control. (E) Venn diagram of the overlap (yellow) between EKLF-activated genes in tamoxifen-treated B1.6 cells (green) and EKLF-activated genes in fetal liver (red). (F) Representative Western blot of dematin and AHSP expression in whole-cell extracts from E14.5 fetal livers. Actin is presented as a loading control.

Table 3.

EKLF-dependent genes in the fetal liver

Intensity
Gene description Common abbreviation Accession no. Ratio, —/— to +/+ EKLF—/— EKLF+/+
Downregulated genes
   Cytoskeleton
      Erythrocyte protein band 4.9/dematin Epb4.9* NM_013514 0.0507 372 7 233
      Hect domain and RCC1 (CHC1)-like domain (RLD) 2 rjs AF061529 0.079 95 741
      Talin 1 Tln1 AK006088 0.0864 1 021 11 849
      Cables Cables,ik3-1 AF133208 0.137 571 4 207
      P120-catenin Catns NM_007615 0.224 142 587
      Parvin, gamma Parvg AF312712 0.265 181 671
      Alpha 1 spectrin Spna-1 NM_011465 0.749 5 607 7 401
   Transmembrane/blood group antigens/receptors
      Solute carrier family 2, glucose transporter Slc2a4; Glut4 NM_009204 0.0249 21 696
      Solute carrier family 22; mitochondrial anion exchange Slc22a4 OCTN1 NM_019687 0.0346 33 785
      Lysophosphatidic acid-operated K+ channel; TRAAK Kcnk4 NM_008431 0.0624 108 1 831
      Rhodopsin, olfactory receptor Rhod AL133159 0.0862 281 3 661
      Mus musculus olfactory receptor 65 Olfr65 NM_013617 0.0893 115 639
      Calcium channel, voltage-dep, L type, alpha 1C subunit Cacna1c NM_009781 0.097 110 668
      Neurexophilin 4 Nxph4 AK004130 0.099 189 1 912
      Duffy blood group Dfy* NM_010045 0.108 1 432 13 104
      ICAM 4, LW blood group ICAM-4, Cd242* AF296282 0.219 3 518 16 029
      Roundabout homolog 3 (Drosophila) Robo3 NM_011248 0.28 338.3 1 111
      Erythroblast membrane-associated protein Ermap* NM_013848 0.309 12 719 40 085
      Transferrin receptor Tfrc; CD71* AK011596 0.31 7 367 23 487
      Activin A receptor, type II-like 1 Acvrl1 NM_009612 0.326 1 301 3 480
      Lectin, galactose binding, soluble 1 Lgals1; d-Gal1* NM_008495 0.335 11 570 33 382
      Rhesus blood group CDE Rhced* NM_011270 0.40 9 880 24 273
      Glycophorin A Gypa NM_010369 0.572 14 932 25 518
      CD59a antigen Cd59a NM_007652 0.626 4 744 7 127
      CD47 antigen, Rh-related antigen Cd47 NM_010581 0.647 9 620 14 890
   Transcription factors and other nuclear proteins
      Orphan nuclear receptor subfamily 0, group B, mem 1 Nr0b1; Dax NM_007430 0.0784 200 1 717
      Retinoic acid receptor, gamma Rarg, RARγ M32071 0.123 160 1 240
      Fanconi anemia, compl group D2 2410150O07Ri AK019136 0.215 467 2 099
      SMC2 structural maintenance of chromosomes 2-like 1 Smc2l1; CAP AK017747 0.27 411 1 500
      Homeo box B3 Hox-2.7 X66177 0.278 586 2 156
      Zinc finger protein 297; Bing 1 Zfp297, Bing1 NM_020625 0.284 1 000 3 516
      CBFA2T1, ETO, MTG8 Cbfa2t1h, Eto NM_009822 0.319 126 381
      Zinc finger protein 1, Y-linked Zfy1 NM_009570 0.329 180 451
      Retinoic acid receptor, alpha Rara, RARα X56570 0.33 434 1 059
      Zinc finger protein 162 Zfp162 NM_011750 0.335 159 446
   Zinc finger and BTB domain containing 7 Zbtb7; Pokemon AK018596 0.349 1 662 4 817
      Kruppel-like factor 3 Klf3 NM_008453 0.38 389 910
      Btebp1; Kruppel-like factor 9 Bteb1; Klf9 NM_010638 0.474 250 540
      LIM domain only 2 Lmo2* NM_008505 0.483 4 807 9 776
      GLI-Kruppel family member GLI3 Gli3 NM_008130 0.51 362 690
      Hemogen Hemgn AF269248 0.539 7 947 15 065
      TBP-associated factor 140 TAF140 AJ292189 0.539 818.5 1 359
   Others
      RIKEN cDNA 1190001M18 - EST 1190001M18Ri AK004435 0.0594 128 1 522
      RIKEN cDNA 4930518C09 gene 4930518C09Rik AK015822 0.0762 119 836
      Keratin complex 1, acidic, gene 15 Krt1-15 NM_008469 0.0457 149 1 858
      Reelin Reln U72343 0.0458 100 3 690
      Sparc/osteonectin, cwcv and kazal-like domains proteoglycan 1 Spock1 NM_009262 0.0503 56 632
      Chaperonin subunit 6b (zeta) Cct6b NM_009839 0.0578 66 505
      IL-3; interleukin-3 IL3 S59969 0.081 268 3 479
      RIKEN cDNA 1700011M02 gene 1700011M02Ri AK005877 0.0831 300 2 917
      Male wolffian duct clone: 6720484C15 6720484C15Rik AK020173 0.0845 419 4 694
      RIKEN cDNA 4933401L05 gene 4933401L05Rik AK016606 0.0918 125 1 587
      RIKEN cDNA 4933421O10 gene 4933421O10Ri AK016866 0.0934 224 2 456
      RIKEN cDNA 3110006O06 gene 3110006O06Ri AK014014 0.0969 207 759
      Tripartite motif-containing 59 Trim59 NM_025863 0.358 289 795
      Synuclein, alpha Snca* NM_009221 0.395 9 863 24 559
   Nonheme enzymes
      Fructosamine 3 kinase FN3K AJ404616 0.0746 346 4 573
      ATPase, AAA domain containing 3A Atad3a AF343079 0.085 347 4 253
      Mitochondrial gst 3 Mgst3* NM_025569 0.12 1 279 10 724
      Pyruvate kinase Pklr NM_013631 0.267 308.9 1 128
      Protein tyrosine phosphatase 4a3 Ptp4a3, Acp5* NM_008975 0.268 3 153 11 465
      Diacylglycerol O-acyltransferase 1 Dgat1 NM_010046 0.388 1 339 3 414
      Pyruvate carboxylase Pcx NM_008797 0.436 1 086 2 471
      Ubiquitin-conjugating enzyme E2C Ube2c AK003722 0.461 12 446 26 672
      Cathepsin B Ctsb NM_007798 0.536 752.1 1 419
   Globin and heme synthesis
      Alpha hemoglobin-stabilizing protein AHSP, EDRF* AF060220 0.0426 3 666 78 235
      β-Globin β-major* AF071431 0.199 13 941 72 270
      Benzodiazepine receptor, peripheral Bzrp* NM_009775 0.487 3 691 7 488
      Interferon-stimulated protein Isg20 NM_020583 0.501 1 432 2 890
      Biliverdin reductase B Blvrb BC006617 0.524 15 936 29 989
      Protoporphyrinogen oxidase Ppox NM_008911 0.555 1 644 2 999
      Hydroxymethylbilane synthase Hmbs, PBGD BC003861 0.693 30 672 42 426
      Aminolevulinic acid synthase 2, erythroid ALAS-E M63244 0.711 38 138 53 271
      Similar to Cpo protein Cpox NM_007757 0.752 684
      Uroporphyrinogen decarboxylase Urod NM_009478 0.768 22 428 28 536
      Ferrochelatase Fech NM_007998 1.195 20 752 17 629
      Aminolevulinic acid synthase 1 ALAS-H M63245 1.394 846.2 625
      Uroporphyrinogen III synthase Uros NM_009479 1.392 17 625 12 695
Upregulated genes
   Carbonic anhydrase 1 Car1 NM_009799 12.39 24 734 2 155
   BCL2/adenovirus E1B 19-kDa interacting protein 1, NIP3 Bnip3 NM_009760 5.834 9 525 1 678
   Neoplastic progression 3 Npn3; Srx; TX01 Z31362 4.732 3 036 686
   RIKEN cDNA 9630039A02 gene Cntnap2 NM_025771 4.651 1 571 388
   Tnf receptor-associated factor 5 Traf5 NM_011633 4.464 778 367
   Trafficking protein particle complex 2 Trappc2 NM_025432 4.039 880 344
   RIKEN cDNA 3110040M04 gene 3110040M04Ri AK014162 3.973 2 038 577
   Glutathione transferase zeta 1 Tmed8; Gm1184 AK018286 3.909 2 717 690
   Ubiquitin-conjugating enzyme E2E 1, UBC4/5 homolog Ube2e1 NM_009455 3.842 4 706 2 774
   Formin homology 2 domain containing 3 Fhod3 AK020839 3.558 1 508 498
   RIKEN cDNA 1500010M24 gene 1500010M24Ri AK005193 3.532 1 505 468.2
   Interferon, alpha-inducible protein G1p2 NM_015783 3.444 2 849 968.3
   SH3 domain and nuclear localization signals, 1 Samsn1; Hacs1 AF222928 3.44 2 597 757
   Phosphoglycerate kinase 1 Pgk1 NM_008828 3.367 14 878 5 269
   ST3 beta-galactoside alpha-2,3-sialyltransferase 6 St3gal6 NM_018784 3.365 4 880 1 578
   G kinase anchoring protein 1 Gkap1 NM_019832 3.29 803 460
   Tuftelin 1 Tuft1 NM_011656 3.145 3 052 966
   Kruppel-like factor 6 Klf6 AF072403 2.843 736 302
   Retinoblastoma-like 2 Rbl2 NM_011250 2.793 812 346
   Musashi homolog 2 (Drosophila) msi2 AB056103 2.775 1 205 449
   Annexin A6 Anxa6 NM_013472 2.622 575.2 317.8
   Annexin A5 Anxa5 NM_009673 2.62 6 065 2 436
   Phosphoglycerate mutase 1 Pgam1 AF283667 2.46 23 283 9 548

Gene names are in full description and common abbreviations with a GenBank accession number. The ratio is the normalized mean of the relative expression in EKLF–/– versus EKLF+/+ fetal liver RNA (n = 6). The mean absolute intensities of each gene are given.

*

Genes verified by real-time RT-PCR

Genes that do not have expression fold differences that are enough for listing as possible EKLF targets but are included for comparison and discussion

We performed real-time RT-PCR for 13 putatively downregulated genes from different functional groups to validate the microarray data (Figure 1B). All 13 showed downregulation in the EKLF-null fetal liver, in most cases more dramatically than anticipated from the microarray fold-change calculation (Table 3). This suggests that the criteria we used to select putative EKLF-regulated genes were strict; that is, most of the 600 putative regulated genes are likely to be true positives.

There were fewer (290) transcripts upregulated greater than 2-fold in EKLF-null fetal liver compared with wild-type fetal liver (Figure 1A; Table 3) and most of these were only just above the 2-fold arbitrary cutoff. Some of these are implicated in apoptosis. However, we found no evidence of apoptosis by FACS staining of fetal liver cells with annexin V (data not shown) nor have others found increased apoptosis when EKLF is reduced.25 Hypoxia could indirectly influence gene expression in EKLF-null fetal liver samples. Indeed, 2 of the most highly upregulated genes, carbonic anhydrase 1 (CA1) and NIP3, are known to be inducible by hypoxia.39 Human γ-globin is known to be upregulated in the fetal livers of EKLF-null mice21,22 but was not present on these arrays, being human specific. Lastly, some of these transcripts could be directly repressed by EKLF. The full list of EKLF-dependent genes (and raw data) is available at Signet.40 A partial list organized by subcellular localization and/or function is shown in Table 3.

EKLF-induced transcripts in EKLF-ER cell lines overlap with EKLF-dependent genes in the fetal liver

We could not exclude the possibility that some of the gene expression differences could have resulted from a relative excess of certain nonerythroid cell types in EKLF-null fetal livers, hypoxia, or a failure of maturation of erythroid precursors. Therefore, we repeated expression profiling in B1.6 cells, an erythroid line derived from E14.5 EKLF-null fetal livers (the same gestational age as the primary fetal liver samples), which undergo EKLF-dependent terminal erythroid maturation. Upon activation of a tamoxifen-inducible form of EKLF (EKLF-ER) the cells differentiate in vivo.26 We undertook expression profiling 6 hours after addition of tamoxifen versus control (vehicle), expecting this time point to be sufficient for upregulation of direct EKLF target genes but insufficient for indirect upregulation via secondary transcription factor hierarchies or as a normal accompaniment of terminal differentiation. A scatter plot of the data is presented in Figure 1C. A total of 286 genes were upregulated greater than 1.3-fold (with B stats > 0 and absolute expression levels > 150) in response to tamoxifen and 154 were downregulated to this degree. Only 6 transcripts were downregulated greater than 2-fold and most of these are expressed sequence tags (ESTs; Table 4). Again, this strongly suggests that EKLF acts primarily as a transcriptional activator in this cell line system, although a few transcripts could be directly repressed by EKLF. The same genes used for the fetal liver were verified by real-time PCR in the cell line (Figure 1D). Interestingly, only a few of these genes were downregulated in the EKLF-null line, suggesting that the B1.6 cells do not exactly mimic the in vivo environment (see “EKLF is primarily a transcriptional activator in vivo”). Nevertheless, there was significant overlap with the gene lists from the fetal liver experiments (100 genes including β-globin, dematin, and AHSP; Figure 1E), which enabled us to focus upon likely direct targets of EKLF.

Table 4.

Tamoxifen-inducible changes in gene expression

Intensity
Gene description Common abbreviation Accession no. Control-tamoxifen ratio Tamoxifen Control
Upregulated genes
   Reelin Rein U72343 0.0623 5 574 279
   Erythroid-associated factor Eraf; AHSP;EDRF AF060220 0.088 61 187 7 499
   Mitochondrial glutathione S-transferase Mgst3* NM_025569 0.128 21 710 2 879
   Endothelin 2 Edn2 NM_007902 0.148 3 069 486
   Sparc/osteonectin Spock1 NM_009262 0.155 1 769 329
   Lipocalin 5 Lcn5 NM_007947 0.171 3 445 602
   GLI pathogenesis-related 2 Glipr2; GAPR-1 AK017557 0.172 1 607 273
   Erythrocyte protein band 4.9 Epb4.9* NM_013514 0.202 3 279 723
   Ubiquilin 1 Ubqln1; DA41 AK007651 0.206 4 783 974
   Annexin A8 Anxa8 NM_013473 0.21 1 628 354
   Ephrin A2 Efna2 NM_007909 0.148 3 069 486
   Solute carrier family 22, member 16 Slc22a16 AK014809 0.172 1 607 273
   Embryonic ζ-globin zeta-globin NM_010405 0.172 1 607 273
   Adult β-globin beta-maj globin AF071431 0.202 3 279 723
   Erythroblast membrane-associated protein Ermap* NM_013848 0.235 23 792 5 788
   G protein, gamma 2 subunit Gng2 NM_010315 0.24 3 272 762
   TGFB-inducible early growth response 1 Tieg1 NM_013692 0.374 2 823 1 138
   Duffy blood group Dfy* NM_010045 0.432 1 525 673
   Diacylglycerol O-acyltransferase 2 Dgat2; DGAT-2 AF384160 0.447 1 957 883
   Benzodiazepine receptor, peripheral Bzrp* NM_009775 0.451 26 957 12 685
   Decay accelerating factor 2 Daf2 NM_007827 0.452 510 233
   Aminolevulinic acid synthase 2, erythroid ALAS-E; ALAS2 M63244 0.47 36 257 17 574
   Transferrin receptor Tfrc; CD71 AK011596 0.483 31 429 15 360
   Interferon-stimulated protein Isg20 NM_020583 0.484 6 661 3 293
   Nuclear factor, erythroid derived 2 Nfe2 L09600 0.486 5 562 2 760
   Glycophorin C Gypc AK002769 0.5 11 440 5 777
   Rhesus blood group CE and D Rhced* NM_011270 0.579 20 406 12 047
   Zinc finger and BTB domain containing 7 Zbtb7; Pokemon AK018596 0.58 3 943 2 313
   Zinc finger protein 297 Zfp297 NM_020625 0.652 1 772 1 220
   Embryonic ε-y globin ε-y globin NM_008221 0.627 61 768 39 553
   Embryonic βh1 globin Hbbh1 NM_008219 0.593 58 027 37 087
   Porphobilinogen deaminase PBDG BC003861 0.706 42 501 28 006
Downregulated genes
   RIKEN cDNA 1200008O12 gene 1200008O12Rik AK004655 7.189 106 438
   RIKEN cDNA 1110032E23 gene 11100032E23Rik AF285091 2.729 1 759 4 777
   RIKEN cDNA 1700029M23 gene 1700029M23Rik AK006511 2.364 4 188 9 591
   RIKEN cDNA 9530027K23 gene 9530027K23Rik AK020578 2.347 156 302
   RIKEN cDNA 2600013N14 gene 2600013N14Rik AK011203 2.223 364 775
   Tumor protein p53-inducible protein 5 Tp53i5 AK017334 2.138 7 662 16 485

Gene names are in full description and common abbreviations with a GenBank accession number. The ratio is the normalized mean of the relative expression in control versus tamoxifen-treated samples (n = 4). The mean absolute intensities of each gene are given for both taxoxifen- and control-treated samples (n = 4).

*

Genes verified by real-time PCR

Dematin (band 4.9), the red cell cytoskeleton, and EKLF

Dematin is an important red cell cytoskeleton protein.28,38,41 The array data suggest that dematin is highly dependent on EKLF in the fetal liver (∼20-fold) and also in the EKLF-null erythroid cell line (∼5-fold), which was confirmed in both systems by real-time RT-PCR (Figure 1B,D). By Western blotting, dematin protein expression is also dramatically reduced in EKLF-null fetal liver compared with wild-type and heterozygous littermates (Figure 1F). With regard to other red cell cytoskeleton proteins, α-spectrin (Spna-1) was also mildly EKLF dependent (∼1.5-fold) in the fetal liver (Table 3) but not in the cell line. Gallagher et al29 suggest that β-spectrin, band 3 (AE1), and band 4.2 are also direct EKLF target genes, but we did not find these or other red cell cytoskeletal proteins to be significantly EKLF dependent (Table 3).

AHSP and EKLF

One of the most dramatic putative EKLF-regulated genes is AHSP (Figure 1; Tables 3, 4), also known as EDRF, a recently described GATA-1 target gene that binds and stabilizes free α-globin and Hbα.27 AHSP expression was essentially absent in EKLF-null fetal liver by real-time RT-PCR and it was also dramatically upregulated by tamoxifen in B1.6 cells (Figure 1B,D). AHSP was also absent in EKLF-null fetal liver cells by Western blotting (Figure 1F). AHSP is important for stabilizing free Hbα in vivo27,42 and its loss in EKLF-null mice likely exacerbates the pathology of a chain excess caused by β-globin deficiency.

Transmembrane proteins and EKLF

TfR1 appeared to be an EKLF-dependent gene in fetal liver (Tfrc; Figure 1B). Loss of TfR1 might contribute to poor hemoglobinization in EKLF-null erythroblasts by impairing the uptake of circulating transferrin-bound iron. TfR1 was significantly downregulated in EKLF-null fetal liver (∼10-fold) and induced by tamoxifen (∼2-fold) in B1.6 cells (Figure 1B,D). To investigate this downregulation further we measured the cell surface expression of CD71 by FACS. Although TfR1 transcripts were reduced, CD71 expression at the cell surface was normal (Figure 2); greater than 95% of EKLF-null fetal liver cells were CD71+ and the intensity of expression was identical to wild-type littermates. It is possible that posttranscriptional regulation of TfR1 may play some compensatory role to generate normal CD71 surface expression in the context of reduced mRNA levels.

Figure 2.

Figure 2.

TER119 is absent in EKLF-null fetal liver. Representative dot plots of FACS-sorted E14.5 fetal liver cells from EKLF+/+ and EKLF-/- mice stained with TER119-PE and either CD71-FITC (transferrin receptor) or CD117-FITC (c-kit). The top and right quadrants represent positive stained cells. The percentage of cells in each quadrant is indicated.

Interestingly, there was a very dramatic reduction in TER119 expression in EKLF-null fetal liver cells (Figure 2). In the normal fetal liver, greater than 80% of cells are TER119 intermediate or bright as previously published,43,44 whereas most if not all EKLF-null cells fail to express TER119. The antigen recognized by TER119 is an unknown protein of approximately 52 kDa.44 It could be one of the transmembrane proteins upregulated by EKLF (Table 3). Expression of the stem/progenitor cell marker CD117 (c-kit) was normal in EKLF-null fetal liver (Figure 2), which is consistent with the normal progenitor cell numbers as determined by colony assays in SCF and Epo.20

Primitive EKLF-null red cells show defects in gene expression, the red cell membrane, and surface expression of TER119

We and others previously reported that EKLF-null primitive erythrocytes are morphologically normal and express normal amounts of embryonic globins: ζ-, βh1-, and ε-y.19,20 This is in spite of the fact that EKLF is expressed in embryonic red cells45 and is required for expression of a μLCR-β-globin transgene and LacZ reporter gene in primitive cells.46,47 To determine if our target genes identified at E14.5 played any role at earlier time points we examined expression of the novel EKLF target genes in E11.5 embryonic blood. Real-time RT-PCR demonstrated a dramatic reduction in expression of AHSP, dematin, Mgst3, and Ermap/Scianna in EKLF-null embryonic red cells (Figure 3A), and Western blotting showed absence of both dematin and AHSP (Figure 3B). Acp3, the peripheral benzodiazepine receptor (Bzrp), Rh-cde, and ICAM4/LW were also significantly downregulated. Interestingly, not all of the 13 genes tested in the fetal liver were downregulated in embryonic red cells, suggesting that other CACC-box binding proteins may compensate for the loss of EKLF in this environment at some erythroid gene promoters (see “Primitive EKLF-null red cells show defects in morphology and gene expression”).

Figure 3.

Figure 3.

EKLF-null primitive erythroid cells show defects in gene expression and structure. (A) Relative expression levels of putative EKLF target genes in E11.5 EKLF-/- blood cells compared with EKLF+/+. Levels were measured by real-time PCR and normalized to HPRT. Data are presented as mean, n = 2. (B) Representative Western blot of dematin and AHSP expression in whole-cell extracts from E11.5 blood cells. Actin is presented as a loading control. (C) Representative dot plots of FACS-sorted E11.5 blood cells from EKLF+/+, EKLF+/-, and EKLF-/- mice stained with TER119-PE and either CD71-FITC (transferrin receptor) or CD117-FITC (c-kit). The top and right quadrants represent positive stained cells. The percentage of cells in each quadrant is indicated. (D) Scanning electron microscopy of cytospin preparations of primitive erythroid cells from E11.5 EKLF+/+ and EKLF-/- embryos. The small enucleated discs represent maternal red cells and the large nucleated cells are yolk sac-derived primitive erythrocytes. Scale bars and magnification are shown.

EKLF-null embryonic red cells, like their fetal liver counterparts, fail to express TER119 but express normal levels of CD71 and CD117/c-kit (Figure 3C). Interestingly, EKLF+/- embryonic red cells express intermediate levels of TER119 at the surface (Figure 3C), suggesting transcript levels in this case precisely define the output of the antigen recognized by TER119. Haploinsufficiency of EKLF at the human β-globin gene promoter also results in reduced production of β-globin.22 To determine if loss of TER119 influences cell membrane morphology we performed scanning electron microscopy. EKLF-null embryonic red cells appear to have an abnormal morphology following gentle cytocentrifugation (Figure 3D). They displayed aberrant folding of the cell membrane that was a reliable surrogate marker of genotype. Despite this abnormal phenotype, the embryonic red cell numbers in EKLF-null embryos were not significantly different from littermates (data not shown), suggesting a relatively normal lifespan for the mutant primitive erythrocytes.

Phylogenetically conserved CACC and GATA sites within dematin gene regulatory regions

Expression-profiling experiments cannot distinguish whether the putative EKLF-regulated genes are direct targets, activated indirectly via a transcriptional cascade, or activated indirectly because of EKLF-induced differentiation. Thus, we searched for phylogenetically conserved EKLF binding sites (CCNCNCCC)33 within our putative target gene list. In this paper we focused in detail upon regulation of the dematin gene as proof of principal of direct EKLF target validation. This gene was previously reported to contain 14 exons,38 with the first exon containing the transcriptional initiation codon (exon 3 in Figure 4A). However, a search for spliced ESTs using the UCSC genome browser48 demonstrated the presence of additional spliced transcripts from 3 upstream noncoding exons labeled e1a, e1, and e2 in Figure 4A. We confirmed expression of transcripts originating from exon 2 and exon 3, but not exon 1 or 1a, in fetal liver by RT-PCR (Figure 4B).

Figure 4.

Figure 4.

EKLF occupies conserved CACC elements in dematin upstream gene regulatory regions and directly activates 2 dematin promoters. (A) Schematic of organization of the dematin gene. The original cDNA starts at exon 3.38 The other putative upstream exons correspond to alternatively spliced transcripts. (B) An RT-PCR analysis of alternative transcript used in E14.5 fetal liver. The arrows represent RT-PCR primers. (C) Schematic of the ECR regions of the dematin genomic sequence. ECR regions are defined as areas of greater than 70% sequence identity of at least 100 bp in length and are numbered in reverse order from intron 2. All putative EKLF and GATA-1 sites within this region are marked, as are the conserved sites between the human, mouse, and rat genomes. A plot of percentage identity between human and mouse sequences is shown, with red regions corresponding to ECRs. The positions of exons 1 and 2 are indicated for reference. (D) ChIP using EKLF antisera or nonimmune sera. Plots show real-time PCR analysis of the precipitated DNA from the corresponding upstream regions. For each region, ChIPed material is expressed relative to input DNA. ChIP was performed on B1.6 cells treated in 4 ways: using EKLF-specific or preimmune sera and after tamoxifen-induced (T) or control (E) induction of EKLF-ER. (E) ChIP using ERα monoclonal antibody or isotype control. Again, ChIP was performed on cells treated in 4 ways: using ERα antibody or mIgG1 and after tamoxifen-induced (T) or control (E) induction of EKLF-ER. (F) Mean relative luciferase levels (as normalized to renilla) ± SEM, n = 3. pGL3-basic (Luc) constructs were transfected into SL2 cells with or without an EKLF expression vector. In each case transfection of the Luc construct alone did not alter luciferase levels (data not shown). EKLF response data are presented normalized to 1 for each construct. The βmaj-Luc contains the β-major globin promoter and is a positive control for EKLF action. DemP3 corresponds to -1 to -1000, and DemP2 to -8267 to -9269 from the transcription start site of the dematin gene.38

We used the ECR Browser31 to find phylogenetically conserved regions of at least 100 bp of greater than 70% identity between the human (hg17), mouse (mm5), and rat (rn3) genomes. We found 14 ECRs within a 12.5-kb region of dematin that extended from the FGF17 gene upstream to intron 2 (Figure 4C). These are numbered in reverse to indicate increasing distance from the coding region. ECR3 abuts exon 2 and so it is likely to be a proximal promoter element (P2) for this alternative transcript. We then used the Mulan interface32 to perform a directed search for conserved sites (between the 3 genomes) corresponding to the EKLF consensus site CCNCNCCC.33 We simultaneously looked for conserved GATA-1 binding sites (WGATAR) as previously defined by PCR site selection,34 since EKLF and GATA-1 are known to work cooperatively in certain contexts.8,49 Locations of conserved as well as nonconserved EKLF and GATA-1 binding sites are indicated in Figure 4C. These reside mostly within the ECR regions. In the case of ECR3, ECR12, and ECRa, 1 or 2 conserved GATA-1 binding sites occur in close proximity to the conserved EKLF sites (Figure 4C).

In vivo occupancy of dematin ECRs by EKLF

We performed ChIP assays using ERα or an irrelevant mouse monoclonal antibody in B1.6 cells treated with either tamoxifen or vehicle control. We also performed ChIP assays with an EKLF antibody or preimmune rabbit sera. In each case, an aliquot of cross-linked input DNA (prior to ChIP) was prepared and analyzed as a reference for ChIP efficiency. In the case of an irrelevant negative control gene, nectin,37 there was no enrichment of DNA in material ChIPed by the ERα or EKLF antibodies, confirming specificity and the lack of DNA occupancy by EKLF at this irrelevant gene (data not shown). In contrast, ChIP with EKLF antisera demonstrated tamoxifen-dependent occupancy of the β-globin promoter by EKLF-ER (Figure 4D, left panel). Dematin ECRa and ECR3 demonstrated significant EKLF occupancy (each ∼100-fold), which was both specific for the EKLF antibody and also tamoxifen dependent. On the other hand, ECR1 and ECR12 demonstrated much less, if any, EKLF occupancy (Figure 4D). We also performed ChIP assays with an ERα monoclonal antibody or irrelevant mIgG1 isotype control. Again, there was strong tamoxifen-dependent EKLF-ER occupancy at ECRa and also ECR10 (∼1000-fold) and reasonable occupancy at ECR1 and ECR3 but weak occupancy at ECR12. Together, these results strongly suggest that many but not all of the phylogenetically conserved regions containing EKLF binding sites within a 12.5-kb region of the dematin gene are bound by EKLF in vivo. Thus, dematin is very likely to be a direct EKLF target.

EKLF directly activates 2 dematin promoters

We cloned a 1-kb region of ECR3 (corresponding to promoter P2), which is bound by EKLF in vivo, and a 1-kb region upstream of the published murine dematin cDNA (promoter P3),38 which also contains 3 (although not conserved) CACC motifs into pGL3-Basic, and performed reporter assays in SL2 cells, which have no endogenous SP1 activity. Cells were cotransfected with an expression vector for EKLF, pPAC-EKLF.5 The β-globin promoter was used as a positive control for EKLF responsiveness.5 EKLF did not activate pGL3-Basic but activated the β-globin promoter approximately 4-fold and both the P2 and P3 promoters approximately 5-fold (Figure 5B). This is further evidence that EKLF directly activates the dematin gene via CACC sites within the 2 putative promoters.

Figure 5.

Figure 5.

Schematic of metabolic pathways and structural red cell proteins regulated by EKLF. EKLF coordinates expression of genes that encode proteins that link the membrane and cytoskeleton, heme synthesis, energy production through glycolysis (pyruvate kinase), β-globin, and AHSP. Genes in italics are probable EKLF target genes. Genes in normal font are provided for context. See text for abbreviations.

Discussion

EKLF is primarily a transcriptional activator in vivo

Most analyses have reported that EKLF acts primarily as a transcriptional activator in vitro,50,51 although one proposes that EKLF can bind the transcriptional repressor Sin3A and directly repress γ-globin gene expression.27 Our expression-profiling data suggest EKLF acts primarily as a transcriptional activator in vivo, although a few transcripts may be directly repressed. In contrast, GATA-1 functions more often as a transcriptional repressor in a similar cell line system.52 We conducted expression-profiling analyses using both EKLF-null mice and an EKLF-null cell line to ensure we were targeting genes that were specific in their response to EKLF. This approach yielded an overlap of approximately 100 genes, allowing us to focus our studies on this subset (Figure 1). There were some genes apparently EKLF dependent in the fetal liver but not induced by tamoxifen in B1.6 cells. We think this is most likely due to the immortalization process for B1.6 cells. There were no genes that were both upregulated by EKLF loss in the fetal liver and downregulated by tamoxifen in the cell line, so we have no solid leads for EKLF-repressed genes. Our results are similar and complementary to others recently published.53 These authors used a different inducible EKLF system in primary fetal liver-derived cells and a different array platform. Despite these differences, we found a remarkably similar set of EKLF target genes. Together, our 2 sets for experiments argue very strongly for the validity of the gene lists.

We used real-time PCR to validate many of the putative EKLF target genes (Figure 1B,D), as well as confirming that transcriptional downregulation translated to a decrease in protein expression (Figure 1F). Importantly there did appear to be differences in the expression levels of some genes, such as Lgals and Snca, between the 2 systems (Figure 1B,D), suggesting that we have the ability to focus our studies even further. It is not certain from these expression-profiling experiments whether all or most of the differentially expressed genes are direct EKLF transcriptional targets or not, but an argument for many being so, based on the published literature and on our findings presented here, will follow.

Primitive EKLF-null red cells show defects in morphology and gene expression

To determine if EKLF is active during primitive erythropoiesis we examined expression of some of our target genes at E11.5. Our data show that many of these genes were downregulated at this developmental time point (Figure 3A) and that, at least for dematin, AHSP, and TER119, this translated into a substantial downregulation in protein expression (Figure 3B). Loss of dematin and TER119 might partly explain the abnormally ruffled red cell membrane (Figure 3D), but loss of other transmembrane proteins (Table 3) are likely to contribute to this defect. Our data confirm that EKLF is transcriptionally active in embryonic red cells as previously described for β-globin transgenes46,47 and identify key novel EKLF target genes in embryonic as well as definitive red cells. Given that EKLF-null primitive erythrocytes appear to have a relatively normal lifespan and the embryos survive until late gestation, it is likely that other CACC-binding proteins, such as LKLF (KLF2), may compensate for the absence of EKLF at certain promoters such as the ζ-, ε-y, βh1-globin, and Duffy gene promoters in embryonic red cells.54

The red cell membrane in the absence of EKLF

Dematin, or band 4.9, is a key component of the red cell cytoskeleton that binds F-actin28 and other components of the cytoskeleton (Figure 5) and it is highly downregulated in the absence of EKLF (Figures 1 and 3). A genetic deletion of the headpiece domain of dematin leads to increased red cell fragility and compensated hemolysis,41 suggesting that it is an essential structural component of the red cell cytoskeleton. Thus, the observed membrane defect in primitive erythroid cells at E11.5 (Figure 3D) may also be partially due to dematin loss. To demonstrate that our EKLF target genes may be directly regulated by the transcription factor, we showed that EKLF binds a number of phylogenetically conserved regulatory elements (with CACC cores) in the dematin gene (Figure 4D-E) and activates transcription from 2 independent erythroid promoters (Figure 4F). Both of these promoter elements contain EKLF consensus CACC sites, further suggesting that, like β-globin, dematin is a key in vivo EKLF target gene (Figure 5).

Hemoglobin synthesis pathway gene regulation by EKLF

Heme is synthesized from glycine and succinyl CoA via an enzymatic cascade acting within and without mitochondria (Figure 5). The first enzyme in the biosynthetic pathway is ALAS. There are 2 ALAS genes, ALAS1 (or ALAS-H) and ALAS2 (or ALAS-E). ALAS1 is ubiquitously expressed at low levels and was found to have normal expression levels in EKLF-null fetal liver (Table 3). ALAS2, which is mutated in X-linked sideroblastic anemia,55 is expressed at much higher levels in red cells (compare intensities in Table 3) and is moderately downregulated following EKLF loss (Table 3). Interestingly, a gene knockout of ALAS2 leads to severe anemia with accumulation of siderotic iron and an increase in nucleated definitive red cells,56 and a zebrafish mutant, sauternes, has a similar severe erythroid phenotype.57 The ALAS2 promoter has a conserved CACC element that can bind EKLF, and EKLF can activate ALAS2 in reporter assays.12,58 There is also a well-characterized EKLF-dependent enhancer in intron 8.59

The third enzyme in the heme-synthesis pathway known alternatively as PBGD or hydroxymethylbilane synthase (Hmbs) was induced 2-fold by EKLF in B1.6 cells (Table 4) and downregulated the EKLF-null fetal liver (Table 3). Interestingly, mouse and human PBGD gene promoters also have conserved CACC-box elements60,61 that can bind EKLF in vitro. Although we previously reported PBGD is not EKLF dependent in EKLF-null red cells,20 it could be an EKLF target gene from these expression-profiling results. In addition, the peripheral Bzrp may transport coproporphyrin III into the mitochondria for completion of heme synthesis.62 Bzrp levels are markedly reduced in EKLF-null cells (Table 3; Figure 1B,D). Expression of other heme-synthesis enzymes are not significantly EKLF dependent (Tables 3, 4). These results suggest that the combined lack of ALAS2, PDBG, and Bzrp is likely to be responsible in concert for the defect in heme synthesis and siderotic (mitochondrial) iron accumulation found in EKLF-null red cells25,26 (Figure 5).

AHSP is nearly undetectable when EKLF is absent (Figures 1 and 3). AHSP is a small red cell-specific protein that binds and stabilizes free α-globin chains and alpha hemoglobin.27 AHSP knockout mice have a moderate compensated hemolytic anemia that is worsened significantly by concomitant β-globin deficiency, suggesting that one function of AHSP is to protect cells against the toxic effects of excessive free α-globin or αHb.27 Thus, the loss of AHSP in EKLF-null mice is likely to aggravate the coexisting β-globin deficiency and, therefore, contribute to embryonic demise.

Blood group antigens and EKLF

Our expression-profiling experiments suggest that many blood group antigens are regulated by EKLF. These include Rh-ced (which encodes an allelic Rh antigen complex), Ermap (which encodes the Scianna blood group antigen63,64), Duffy, and ICAM4 (also known as the LW antigen65; Table 3). These genes were validated as EKLF target genes in the fetal liver by real-time PCR (Figures 1 and 3), although only Duffy and Ermap were significantly upregulated by tamoxifen in B1.6 cells (Figure 1D). Also, Duffy was not affected at E11.5 (Figure 3A), suggesting that downregulation in the fetal liver may be an indirect effect of EKLF loss in this case. In addition to these validated genes, other blood group antigens and related proteins are likely EKLF target genes (Table 3). These include glycophorin A (GPA), CD47 (an Rh antigen-associated protein66), and CD59 (a GPI-anchored protein lost in paroxysmal nocturnal hemoglobinuria [PNH]). Interestingly, most of these proteins coexist in a mega-complex that links the membrane to the underlying cytoskeleton.67 Importantly, mouse Rh-cde, GPA, CD59, CD47, and Ermap/Scianna genes all contain CACC sites in their proximal promoters that are likely to bind EKLF.7,28,68 Together, our results strongly suggest that EKLF coordinates expression of many key blood group antigens and associated proteins that link the membrane to the cytoskeleton (Figure 5).

Transcription factor targets

Many of the EKLF-regulated genes encode transcription factors such as p45-NF-E2, CHOP, LMO2, ETO, BKLF/KLF3, RARγ, RARα, pokemon (Zbtb7), Bteb1/KLF9, Gli-3, and hemogen.69 A detailed discussion of the physiologic importance of these is beyond the scope of this paper, but many have proven roles in erythropoiesis.70 Of particular note, BKLF/KLF3 is markedly reduced in EKLF-null fetal liver71 and EKLF-null cell lines.26 BKLF is one of the most abundant CACC-box binding proteins in erythroid cells and its loss in EKLF-null embryos may play a key role in erythropoiesis and/or γ-globin gene silencing, so it is worthy of further investigation.

Conclusion

In summary, we have used expression profiling to discover that EKLF plays a global role in both primitive and definitive erythropoiesis. It participates in the control of expression of many genes including AHSP and β-globin and heme synthesis and transport enzymes, which function together to produce the hemoglobin molecule (Figure 5). EKLF also coordinates expression of many genes that work together to build a flexible red cell that can transverse the microcirculation (Figure 5). Importantly, we show that EKLF can directly regulate a least one (and probably many) potential target gene, suggesting that its action as a transcription factor is direct. Finally, our findings suggest that drugs targeting EKLF may not be an ideal treatment strategy for patients with β-hemoglobinopathies.

Acknowledgments

We thank Chris Vakoc, Gerd Blobel, and Emery Bresnick for advice about ChIP assays. We thank Robert Rea for advice about FACS.

Prepublished online as Blood First Edition Paper, December 27, 2005; DOI 10.1182/blood-2005-07-2888.

Supported by Australian National Health and Medical Research Council (NH & MRC) grant 143701 (A.P.) and National Institutes of Health (NIH) grant R01 DK061692 (M.W.).

The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 U.S.C. section 1734.

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