Human venous blood was collected with the approval from the Texas A&M University Institutional Review Board (IRB number 2017-0792D) from healthy volunteers who gave written consent. Neutrophils were isolated as previously described. ^{21– 23} Neutrophils were isolated at room temperature (RT) from blood collected directly into vacutainer tubes containing EDTA (454209; Greiner Bio-One; Monroe, NC). Neutrophils were isolated by Polymorphprep (1114683; Axis-Shield, Oslo, Norway) following the manufacturers’ instructions. Undiluted blood (~5-6 mL) was gently layered over 5 ml of Polymorphprep stored at room temperature and separated by centrifugation at 500 × g for 40 minutes at room temperature. After centrifugation, first the upper mononuclear cell layer was removed and then a sterile wide-bore plastic pipette (414004-005, VWR, Radnor, PA) was used to collect the lower neutrophil band. Neutrophils were then mixed with 10 mL PBS (17-5 F; Lonza, Walkersville, MD) and collected by centrifugation for 10 minutes at 300 × g at RT. Neutrophil cell pellets were resuspended in PBS and then recentrifuged. The resuspension and centrifugation was repeated 3 more times.

From each donor, pellets of 45 to 115 × 10 ⁶ neutrophils were disrupted by pipetting vigorously with 500 μl ice cold “Complete Polysome Buffer” (15 mM Tris-HCl pH 7.5, 300 mM NaCl, 15 mM MgCl ₂, 1% Triton X-100 (J66624, Alfa Aesar, Ward Hill, MA), 100 μg/ml Cycloheximide (94271-1g, VWR, Radnor, PA), 1 mg/ml Heparin (A16198.06, Thermo Scientific, Rockford, IL), 500 units/ml RNasin Ribonuclease inhibitor (AM2696, Invitrogen, Carlsbad, CA), 20 mM DTT, and 10x Protease and Phosphatase inhibitor cocktail (1861281, Thermo Scientific)). ²⁴ Cells were lysed on ice for 15 minutes with inverting every 2–3 minutes. The lysates were clarified by centrifugation at 12,000 × g for 10 minutes at 4°C, and supernatants (cytoplasmic lysates) were transferred to a fresh tube and stored at −80°C.

Lysed samples were separated on a 10-50% sucrose gradient made with Polysome Gradient Buffer (10 mM HEPES-KOH pH 7.5, 70 mM ammonium acetate, 5mM magnesium acetate, prepared the same day). ²⁴ 10% sucrose solutions were made with polysome gradient buffer and 10% (w/v) sucrose (8360-06, VWR), and 50% sucrose solutions were made with polysome gradient buffer and 50% (w/v) sucrose. All solutions were made with 0.22 μm membrane filtered, diethyl pyrocarbonate (DEPC) ( D5758, Sigma) treated MilliQ water. 10–50% sucrose density gradients were made in polyclear tubes (Seton Scientific, Petaluma, CA) with equal volumes of 10% and 50% sucrose solution by gentle mixing on a model 108 gradient master (BioComp, Fredericton, New Brunswick, Canada). Sucrose gradients prepared a day before the polysome profiling experiment, and a SW41Ti rotor with buckets (Beckman Instruments, Indianapolis, IN), were pre-cooled at 4°C overnight. 300 μl of cytoplasmic lysates were layered on the top of the gradients, and the gradients were centrifuged at 40,000 rpm at 4°C for 2 hours. After centrifugation, the gradients were fractionated with a model 153 gradient station with TRiAX flow cell (BioComp) and a FC203B fraction collector (Gilson, Middleton, WI), following the manufacturer’s protocol.

Fractions were collected and combined so that F1-3 contained free RNA, F4-6 contained monosome associated RNA, F7-9 contained early polysome associated RNA, and F10-12 contained late polysome associated RNA. RNA purification and precipitation was performed with 0.5 ml of each sucrose fraction mixed with 0.5 ml TRIzol (15596026, Invitrogen) and 0.2 ml chloroform, then clarified by centrifugation at 12,000 × g for 15 minutes at 4 ^oC. 0.5 ml of the upper layer was transferred to a fresh tube containing 1 ml isopropanol and 2 μl of 15 mg/ml Glycoblue (AM9515, Invitrogen). ²⁴ After mixing, the RNA was precipitated by incubating overnight at -20 ^oC and collected by centrifugation at 12,000 × g for 15 minutes at 4 ^oC. The pellet was rinsed with 1 ml ice-cold 70% ethanol. The ethanol was removed after centrifugation at 12,000 × g for 15 minutes at 4 ^oC. Precipitated samples were re-spun a second time to remove the remaining ethanol from the side of the sample tubes. RNA pellets were air dried for at least 10 minutes at room temperature before being dissolved in 20 μl nuclease-free water (Thermo Scientific). RNA concentrations were checked with a Synergy Mx plate reader with a microdrop attachment (BioTek, Winooski, VT).

RNAseq libraries were created following the manufacturer’s instructions for QuantSeq 3′ mRNA-Seq Library Prep Kit FWD for Illumina (type 015.96, Lexogen Inc, Greenland, NH), with 2 μg of RNA used as the starting material. Libraries were sequenced using an Illumina NextSeq 500 platform (Texas A&M University Institute for Genome Sciences and Society Experimental Genomics Core, College Station, TX). RNA sequencing data were analyzed using the QuantSeq Data Analysis Pipeline on the BlueBee Genomic Platform (BlueBee, San Mateo, CA). The quality of sequences was evaluated using FastQC software (version 0.11.5) after adapter trimming with BBDUK software (version 35.92). Gene and transcript intensities were computed using STAR software (version 2.5.2a) with the Gencode Release 27 (GRCh38) human genome as a reference. Raw files of RNA-Seq data were uploaded to GEO (accession number GSE288976).

For each donor, for each specific RNA (indicated by X), the normalized count of X in the free fraction was calculated as (read count of X in the free fraction)/ (total number of read counts in the free fraction). The normalized count of X in the monosome fractions was similarly calculated as (read count of X in the monosome fraction)/ (total number of read counts in the monosome fraction). Similar normalization was done for early polysomes and late polysomes. For the free/monosome/polysome analysis, there were 4 female and 3 male donors. We only analyzed RNAs where the RNA was detected in one fraction (F1-3, F4-6, F7-9, or F10-12) for at least 3 of the 4 females, or all 3 of the males. However, most of the RNAs analyzed were present in multiple fractions.

Differences in RNA expression between free RNA, and RNA associated with monosomes, and early and late polysome in males and females was assessed using t-tests. Fold change in expression and t-test values were ranked for volcano plot visualization. Gene ontology (GO) pathway analysis was performed, and graphs were generated, using ShinyGO (v 0.82 using Ensembl Release 107). ²⁵ Groups were analyzed with the standard “Use pathway DB for gene counts” in the Homo sapiens database, and significance (p < 0.05) was determined by Fisher’s exact test with FDR correction. Results were confirmed using g:Profiler ( https://biit.cs.ut.ee/gprofiler/gost) and Metascape ( https://metascape.org/). Venn diagrams were generated using InteractiVenn ( www.interactivenn.net). Principal Component Analysis (PCA) and heatmaps were generated using ClustVis ( https://biit.cs.ut.ee/clustvis/). ²⁶

Prism v7 (GraphPad Software Inc., San Diego, CA, USA) and Microsoft 365 Excel (Microsoft, Redmond, WA) were used for data analysis. Graphs were generated with Prism. Data are shown as mean ± SEM except where otherwise stated. To determine whether the mean difference between two groups was statistically significant, the Mann-Whitney test was used. Statistical significance was defined as p ˂ 0.05. For the volcano plots, one unpaired t test per row was calculated, without assuming consistent SD (the fewer assumptions option), with an uncorrected significance of p < 0.05 considered significant.

The transcriptome of human and murine neutrophils has been relatively well studied. ^{27– 30} Previous studies also found sex-based differences in human neutrophils. ^{15, 18, 31} To confirm this, we analyzed freshly isolated human neutrophils from 2 healthy male and 4 female donors by RNA-seq and identified 2,175 transcripts from datasets that had detectable RNA sequences in either both male donors or in at least 2 of 4 female donors (Extended Data Table 1 Tab 1). ³² There was no significant difference in the number of detected RNA transcripts between the male and female samples ( Extended Data Figure 1A). ³² As described below in the results sections “Some transcripts were only present in male neutrophils”, and “Some transcripts were only present in female neutrophils”, we observed some RNAs in this data set that appeared to be present only in male or only in female neutrophils ( Extended Data Table 1 Tabs3 and 4). ³² In addition to RNAs present only in males or only in females, there were 53 transcripts with greater abundance in male cells and 1 transcript (RAB21) with greater abundance in female cells ( Figure 1A and Extended Data Table 1 Tab5). ³² GO term pathway analysis of the proteins encoded by the 53 male transcripts were enriched for mRNAs encoding proteins involved with regulation of translation and protein targeting to the endoplasmic reticulum (RPL5, RPL35, RPLP1, RPS3, and DDX3X), lamellipodia and focal adhesion (PABPC1, PFN1, RPL5, CAP1, RDX, RPLP1, ACTR2, RPS3, SLA, and JAK1), and secretory granules (CAP1, ACTR2, SRP14, ANXA2, and DDX3X) ( Figure 1B ). These results are consistent with previous data indicating that male and female neutrophils have transcriptomic differences. ^{15, 18, 31}

Polysome fractionation and profiling has been used to analyze translation efficiency in many cell types, including human platelets, monocyte cell lines, and macrophages. ^{33– 37} However, RNA-seq analysis after polysome fractionation is rare in neutrophils with the human promyelocytic leukemia HL-60 cell line being used as a surrogate for neutrophils. ^{34, 38} To assess translation efficiency in circulating human neutrophils, we isolated neutrophils from 3 healthy male and 4 healthy female donors, lysed the cells, and separated the lysates on sucrose gradients. ^{24, 39} Fractionated male and female neutrophils, despite showing donor to donor variations in the profiles, all contained a clear monosome peak ( Figure 2). Similar experiments on the human MCF7 cancer cell line also showed replicate experimental variation in the ribosome profiles. ⁴⁰ The coefficient of variation (Standard Deviation/Mean) for the polysome region (defined as gradient position 40 – 75, consisting of fractions 7-12), showed no significant difference between the male and female profiles. These profiles show some indication of peaks in the polysome regions for both male and female neutrophils, most clearly seen in male donor #2 and female donors #1 and #4 ( Figure 2). Neutrophils have a significantly lower resting gene expression profile than other immune cell types, such as peripheral blood mononuclear cells, ⁴¹ with low but detectable transcriptional activity, ^{42, 43} which increases rapidly after neutrophil activation. ⁴² This reduced basal transcription activity may be responsible for the relatively low polysome peaks.

We then analyzed RNA transcripts from the polysome fractions. RNA-seq data was collated for free RNA (Fractions 1 – 3, corresponding to gradient positions 1 – 20), monosomes (Fractions 4 – 6, corresponding to gradient positions 21 – 40), early polysomes (Fractions 7 – 9, corresponding to gradient positions 41 – 55), and late polysomes (Fractions 10 – 12, corresponding to gradient positions 56 – 75) ( Figure 2A and B). Analysis was restricted to datasets where we identified transcripts from all 3 male donors or at least 3 of the four female donors in at least one fraction. We identified 3,056 transcripts from datasets that had transcripts in at least one fraction (F1-3, F4-6, F7-9, or F10-12) ( Extended Data Table 2 Tab 1). ³² There were no significant differences in the total number of detected RNA transcripts in the combined fractions between the male and females ( Extended Data Figure 1B), ³² but there were more transcripts in the monosome fraction (F4-6) compared to the other 3 fractions ( Extended Data Figure 1C). ³²

Principal-component analysis (PCA) highlighted clear segregation of RNA into free, monosome, early polysome, and late polysome fractions, and a general trend that male and female free RNA and monosome fractions were more closely associated, but the male and female early and late polysomes were more diverse ( Figure 3A). Using unsupervised clustering (heatmap), free RNA and monosome fractions were clustered together, with male and female early and late polysome fractions being more diverse, with early polysome fractions having the greatest number of diverse transcripts ( Figure 3B).

In the free RNA fraction (F1-3), there were 41 RNAs with significantly greater abundance in males, and 6 RNAs with greater abundance in females ( Figure 4A and Extended Data Table 2 Tab2). ³² In the male free RNA fraction, which represent transcripts that are not being translated into protein, there were 40 transcripts with levels > 2 fold higher than the average transcript level (Z>2). These 40 transcripts were enriched for mRNAs encoding mitochondrial respiratory chain complex proteins (APP, CEBPA, COX5B, COX7A2, LDHA, MT-CO2, and NCF2) ( Figure 5A and Extended Data Table 2 Tab 5). ³² There were 45 Z>2 transcripts in the female free RNA fraction. These included mRNAs encoding proteins associated with RNA processing and regulation including AGO4, DDX3X, HNRNPA2B1, PKM, RPS3, RPL38, and RACK1) ( Figure 5B and Extended Data Table 2 Tab 5). ³²

There were 44 RNAs with significantly greater abundance in the monosome fraction in males, and four with greater abundance in females ( Figure 4B and Extended Data Table 2 Tab2). ³² In the male monosome fraction, there were 20 Z>2 transcripts, including transcripts related to adhesion, cytoskeletal organization, and cell-cell interaction (including ACTB, ACTN4, ARHGAP25, CDC42, and PAK2) ( Figure 5C and Extended Data Table 2 Tab 5). ³² There were only 8 Z>2 female monosome transcripts, with no discernable enrichment ( Extended Data Table 2 Tab 5). ³²

There were 56 RNAs with greater abundance in the early polysome fraction in males, and 19 with greater abundance in females ( Figure 4C and Extended Data Table 2 Tab2). ³² There were 90 Z>2 male early polysome transcripts, and these were enriched for actin polymerization (COTL1, MTPN, DIAPH1, CFL1, RASA1, and ARPC3, catabolic processes (HSPA5 UBE4A, FAF2, FBXL5, TRIP12, PSMD1, CSNK1A1, UBB, ARRB2, and PCBP2), RNA processing and regulation (RPLP0, EEF1D, TARS1, CPEB4, RPL30, RPS21, UBA52, TPR, RPUSD4, CELF1, MTPN, and RRBP1), and vesicle regulation (HSPA5, SPEN, SLC25A3, HSP90AA1, RPLP0, ST13, COTL1, ARPC3, TARS1, ATP6V1B2, RPL30, MNDA, RAB8B, UBB, CFL1, RHOG, P4HB, PCBP2, and UBA52) ( Figure 5D and Extended Data Table 2 Tab 5). ³² There were 24 Z>2 female early polysome transcripts, including transcripts related to septin protein complexes (SEPTIN6 and SEPTIN7) and adhesion (RPS5, ANXA5, PPP1CB, PTPRC, SEPTIN6, MTDH, PRKCB, and CACNA1E) ( Figure 5E and Extended Data Table 2 Tab 5). ³²

There were 109 RNAs with greater abundance in the late polysome fraction in males, and 8 with greater abundance in females ( Figure 4D and Extended Data Table 2 Tab2). ³² There were 24 Z>2 male late polysome transcripts which likely represent transcripts that are highly likely to be translated into protein, including transcripts related to cell adhesion (ITGA6 and LGALS1) and surface receptors (FCGR3B), the Golgi and ER network (TGOLN2, SORL1, PLPP3, ATXN2, KTN1, CKAP4, and COPB2), and RNA binding (LGALS1, PRRC2C, KTN1, SRRM1, CKAP4, ATXN2, POLE3, NACC2, SUZ12, DDX60L, KAT6A, and ETV5) ( Figure 5F and Extended Data Table 2 Tab 5). ³² Females had 20 Z>2 late polysome transcripts, and these were highly enriched for proteins and RNAs associated with mitochondria (MT-CYB, MT-RNR2, and MT-TH) ( Extended Data Table 2 Tab 5 and Figure 5G). ³²

To further elucidate sex-based differences in the translation of neutrophil RNAs, for each RNA from each donor (using only RNAs where the RNA was detected in one fraction (free, monosome, early polysome, or late polysome) for at least 3 of the 4 females, or all 3 of the males) we assessed the Total Translation Rate (TTRx) using: TTRx = ( Monosome + Early Polysome + Late Polysome ) / Free RNA .

For RNAs where all donors had a non-infinite value for TTRx _, the mean and standard deviation was calculated for the TTRx value for each RNA ( Extended Data Table 3 Tabs 1 and 2). We identified 29 transcripts that were significantly different between male and female neutrophils using these criteria, with 20 RNAs (all mRNAs) having a higher TTRx in males and 9 higher in females ( Extended Data Table 3 Tabs 2 and 3). ³² The 20 mRNAs in males encoded proteins involved with vesicles including major vault protein (MVP), RAS family members (RAB27A and RIN3), a variety of enzymes (ALDOA and CANT1) and signaling molecules (DNM2, OSBPL2, and PEBP1) along with transcription factor complex nuclear factor-kappa-B (NFkB2), Lymphotoxin beta (LTB), and S100A2. The 9 female RNAs were enriched for interferon gamma signaling (SP100 and NMI), eukaryotic translation (EIF3A), and nuclear proteins (ARID4B, SP100, EIF3A, NMI, TKT, TOP3A, and ANP32A) ( Extended Data Table 3 Tab 3). ³²

We also assessed for each RNA X of each donor a Moderate Translation Rate (MTRx), ( Extended Data 3 Tab 4), ³² using: MTRx = ( Early Polysome + Late Polysome ) / ( Free RNA + Monosome ) .

We identified 49 RNAs that were significantly different between male and female neutrophils using these criteria ( Extended Data Table 3 Tabs 5 and 6). ³² Of these 49 RNAs, 37 were significantly upregulated in male samples and 12 were upregulated in female samples. The 37 upregulated transcripts in males were all mRNAs and were enriched for cell adhesion (ITGA6 and ICAM3) and exosome and signaling molecules (GRB2 and PTPN6) ( Extended Data Table 3, Tabs 5 and 6). ³² The 12 upregulated transcripts in females were all mRNAs and were enriched for proteins involved with stress responses (DDX60L, RAD23B, USP15, HLA-C, and DNAJC7).

Finally, we assessed for each RNA X of each donor a Strong Translation Rate (STRx), ( Extended Data Table 3 Tab 7), ³² using: STR X = ( Late Polysome ) / ( Free RNA + Monosome + Early Polysome ) .

We identified 88 RNAs using these criteria ( Extended Data Table 3 Tabs 8 and 9). ³² Of these 88 RNAs, 81 were significantly upregulated in males and 7 were upregulated in females ( Extended Data 3 Tabs 8 and 9). ³² The 81 transcripts present in males included 3 pseudogenes, a novel transcript present within the sequence of phosphatidylinositol transfer protein membrane associated 2 (PITPNM2) and 76 mRNAs. These mRNAs were enriched for ribosome proteins, histone H4 lysine 20 (K20) demethylation, and respiratory burst ( Extended Data Table 3, Tab 9). ³² The 7 transcripts present in females included a mitochondrial pseudogene, and 6 mRNAs including myosin heavy chain 9 (MYH9). These data indicate that the TTRx, MTRx, and STRx groups in the male were enriched for transcripts associated with cell adhesion and signaling, whereas female neutrophils were modestly enriched for interferon signaling and stress responses.

There were 523 transcripts that were only present in the polysome fractions, with 352 RNAs present in males and 314 present in females with infinite values for MTRx, indicating these RNA transcripts were only present in early and late polysomes and not in the free or monosome fractions ( Extended Data Table 4, Tabs 1 and 2). ³² Of the 523 transcripts, 209 were only detected in male neutrophils, 171 were only detected in female neutrophils, with 143 transcripts found in both male and female samples. Of the 352 transcripts in males, 14 were lncRNAs, 5 were mitochondrial tRNAs, 12 were processed pseudogenes, 3 encoded mitochondrial-derived humanin-like peptides, and 312 were protein coding transcripts of which 11 were encoded on the X chromosome ( Figure 6A and Extended Data Table 4, Tab 3). ³² The 312 protein-coding mRNAs were enriched for processes involved with cytoskeletal organization and cell motility, regulation of catabolic processes, and cellular differentiation ( Extended Data Table 4, Tab 3). The 209 transcripts that were only detected in male neutrophils were also enriched for processes involved with cytoskeletal organization and cell motility. Of the 314 RNAs in females ( Extended Data Table 4, Tab 4 and Figure 6B), ³² 18 were lncRNAs, 4 were mitochondrial tRNAs, 12 were processed pseudogenes, 4 encoded mitochondrial-derived humanin-like peptides, and 277 were protein coding transcripts of which 6 were encoded on the X chromosome (Extended Data Table 4, Tab 4). These transcripts were enriched for catabolic processes, regulation of RNA stability, and GTPase mediated signal transduction ( Extended Data Table 4, Tab 4 and Figure 6B). The 171 transcripts that were only detected in female neutrophils were also enriched for catabolic processes. For both male and female MTRx transcripts, there were no transcripts that were encoded on the Y chromosome.

We also identified 128 RNAs in males and 52 in females with infinite values for STRx, indicating the RNA was only present in late polysomes and not in the free, monosome, or early polysome fractions ( Extended Data Table 4, Tabs 5 and 6). ³² Of the 128 STRx infinite value transcripts in males, 6 were lncRNAs, 1 was a mitochondrial tRNAs, 4 were processed pseudogenes, with 113 mRNAs of which 4 were encoded on the X chromosome ( Extended Data Table 4, Tab 7). ³² These transcripts were enriched for processes involved with cytoskeletal organization and cell motility ( Extended Data Table 4, Tab 7 and Figure 6C). ³² Of the 52 RNAs in females ( Extended Data Table 4, Tab 8), ³² 7 were lncRNAs, 3 were pseudogenes, and 41 were mRNAs of which 3 were encoded on the X chromosome ( Extended Data Table 4, Tab 8). These transcripts were weakly enriched for negative regulation of proteolysis and secretory vesicles ( Extended Data Table 4, Tab8). For both male and female transcripts only present in late polysomes, there were no transcripts that were encoded on the Y chromosome.

RNA isolated from whole neutrophils included 334 transcripts that were only detected in male neutrophils, compared to RNA isolated from female cells ( Extended Data Table 1 Tab2 and 3) ³² and 146 transcripts that were only detected in female neutrophils, compared to RNA isolated from whole male neutrophils (Extended Data Table 1 Tabs 2 and 4). ³² We then determined if any of these 334 male transcripts were also detected in any of the 15,880 transcripts identified in any fraction of any of the 4 female samples from polysome fractionation (Extended Data Table 5 Tabs 5 and 7). ³² Using these criteria, we identified 12 transcripts that were unique to male cells (Extended Data Table 5 Tab 8). ³² Of these 12 transcripts, 2 were pseudogenes and 10 were mRNAs, with no transcripts that were encoded on the X or Y chromosome. The 10 mRNA transcripts (FMO4, UBXN8, KLF16, TMEM256, PIGC, WDR33, DEF8, TP53 [p53], LPCAT1, and TMEM243), included proteins that are present in the endoplasmic reticulum (UBXN8, PIGC, LPCAT1, FMO4, and TP53 [p53]).

From the male fractioned RNAs, there were 1,057 transcripts identified as being present in at least one fraction for all 3 donors (Extended Data Table 6 Tab 6). ³² We then determined if any of these male transcripts were also detected in any female samples either from whole cells or polysome fractionation. Using these criteria, we identified 8 transcripts, with 1 lncRNA (ZNF407-AS1) and 7 mRNAs (CA8, TRIM21, ENOX1, CSNK2A2, XYLT2, CRNKL1, and STYL4), with SYTL4 encoded on the X chromosome (Extended Data Table 6 Tab 14). ³² These 17 mRNA transcripts included RNA binding proteins (CRNKL1, WDR33, TP53, ENOX1, and TRIM21) and metal ion binding proteins (XYLT2, TP53, SYTL4, KLF16, TRIM21, DEF8, LPCAT1, and CA8), but were not enriched for any specific biological process.

For the 146 RNAs that were only present in whole female neutrophil RNA (Extended Data Table 1 Tab 4) , ³² but not whole male neutrophil RNA, we determined if any of these female transcripts were also detected in any of the 15,046 transcripts identified in any fraction of any of the 3 male samples from polysome fractionation ( Extended Data Table 5 Tab 6). ³² Using these criteria, we identified 16 transcripts that were unique to female cells. Of these 16 transcripts, 2 were uncharacterized genes (TEC), 4 were lncRNAs, and 10 were mRNAs, with no transcripts that were encoded on the X or Y chromosome. The 10 mRNA transcripts (TSPOAP1, GATB, PCDHB4, DDX25, NT5DC3, TXNDC9, TMEM68, ADI1, DEFA3, and ADARB1), including proteins that regulate RNA (ADARB1, DDX25, GATB) ( Extended Data Table 5 Tab 8). ³²

From the female fractioned RNAs, there were 376 transcripts identified as being present in at least one fraction for all 4 donors ( Extended Data Table 6 Tab 12). ³² None of these female transcripts were unique as these transcripts were present in either whole cell lysates or polysome fractionation of the male donors. Together, these data indicate that there are few sex-specific transcripts in male and female neutrophils.